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How to Lease Dark Fiber: A Step-by-Step Enterprise Guide

Leasing dark fiber is not like buying a managed connectivity service. There’s no standard process, no published price list, and the due diligence required is significantly higher than for a managed IEPL or dedicated internet circuit. Done well, dark fiber delivers unmatched network control at compelling long-term economics. Done poorly, it creates expensive stranded assets and operational complexity. This guide walks through the complete process: from route feasibility to contract negotiation to operational handover. Step 1: Define Your Route Requirements Before approaching any provider, you need to define your requirements with specificity. Vague inquiries produce vague quotes. Start and end points: Specify the exact facilities or addresses at each end, not just the city. ‘Singapore to Hong Kong’ is not enough — ‘Equinix SG1 to Equinix HK1’ gives a provider what they need to assess feasibility. Fiber count and type: Most enterprise dark fiber agreements cover a single fiber pair (two strands — one for each direction). Single-mode fiber (ITU-T G.652.D) is the standard for enterprise dark fiber. Confirm the fiber type in the provider’s available cable. Capacity requirements: Specify the wavelength capacity you need to support today, plus headroom for 3–5 years of growth. The fiber pair itself is protocol-agnostic, but your DWDM equipment purchase should match your capacity horizon. Diversity requirements: Mission-critical routes typically require physically diverse fiber paths — two separate routes between the same endpoints over different cable runs. This adds cost but eliminates single points of failure. Step 2: Conduct Route Feasibility Not all routes are available from all providers. Request a route feasibility assessment from each provider you’re evaluating. A proper feasibility response should include: Reject providers who cannot provide route specifics at the feasibility stage. Vague assurances about ‘partner network coverage’ often mean resale arrangements with longer provisioning times and limited SLA control. Step 3: Understand the Contract Structure Dark fiber is typically governed by one of two contract structures: IRU (Indefeasible Right of Use) An IRU is a long-term right to use specific fibers for a defined period — typically 10–25 years. The IRU holder has exclusive use of those fibers and pays a one-time or annual fee. IRUs are treated as a form of capital asset and may be capitalized on balance sheet. IRUs are common for submarine cable capacity and long-haul terrestrial routes. They provide maximum security of tenure but require significant upfront commitment. Lease Agreement A shorter-term operational lease — typically 1–10 years — gives you the right to use specific fibers for the lease term, with options to renew. Lease payments are operational expenditure. Lease agreements provide more flexibility but may not guarantee continued access after term expiry. For most enterprise dark fiber procurements in Asia, 3–5 year lease agreements are the most practical starting point. This provides enough term to justify equipment investment without the long-term commitment of an IRU. Step 4: Negotiate the SLA Dark fiber SLAs cover the physical fiber, not the services you run over it. Key SLA elements to negotiate: Step 5: Plan Your Optical Equipment Dark fiber is infrastructure — you must provide the electronics. Before signing the contract, confirm your equipment plan: Factor equipment cost and lead time into your project plan. High-capacity DWDM equipment can have lead times of 6–12 weeks. Step 6: Define the Handover Process At contract execution, define exactly what the provider will deliver: Frequently Asked Questions Q: How long does dark fiber provisioning typically take? A: For routes where fiber already exists and is available, provisioning typically takes 2–6 weeks from contract execution — primarily driven by physical access arrangements at both end points and any cross-connect work at colocation facilities. New build or non-standard routes can take 3–6 months. Q: What is a typical dark fiber lease price in Asia? A: Dark fiber is priced per route (fiber pair), not per bandwidth unit. Intra-city routes within major Asian cities typically range from USD 1,500–5,000 per month depending on distance and provider. Long-haul intercity routes range significantly based on distance and cable availability. Q: Can DCConnect provide dark fiber outside of major cities? A: DCConnect operates its own fiber network and partners with cable operators across Asia. Coverage is strongest in Singapore, Malaysia, Hong Kong, Indonesia (Jakarta), Thailand, and Japan. Contact us for a feasibility assessment on specific routes — particularly in secondary cities or cross-border routes. Q: What happens to my dark fiber if the provider’s business changes? A: This is a legitimate concern, particularly for IRU agreements. Ensure your contract includes a step-in rights clause that protects your use of the fiber even in the event of provider insolvency or acquisition. For long-term agreements, consider escrow arrangements for technical documentation.

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SD-WAN Providers Compared: What to Look for Before You Commit

The SD-WAN market is crowded. Between pure software vendors, legacy telcos, and network-native providers, enterprises face a genuinely complex decision — and the stakes are high. A poorly chosen SD-WAN deployment can degrade application performance, create operational complexity, or tie you to a vendor ecosystem that limits future flexibility. This guide cuts through the noise. Rather than naming every provider and ranking them on arbitrary criteria, we focus on the evaluation framework that actually determines whether SD-WAN will deliver measurable improvement for your organization. The Three Types of SD-WAN Providers Understanding the category a provider falls into helps you understand their incentives and limitations: Type 1: Software-Only SD-WAN Vendors These vendors supply the SD-WAN software platform and edge hardware (CPE), but do not own or operate any underlying network infrastructure. Examples in this category include Cisco Viptela, VMware VeloCloud (now Broadcom), and Fortinet Secure SD-WAN. The software is often excellent, but the underlying transport — the actual network capacity your traffic travels over — comes from whatever internet or MPLS circuits you’re already paying for. The vendor has no control over or SLA for the underlay. Type 2: Carrier/ISP SD-WAN Services Traditional telcos (major carriers) offer SD-WAN as a managed service, often bundled with their own MPLS or internet circuits. The integration between their network and the SD-WAN layer can be seamless — but you’re typically locked to their network, which may not cover all your locations competitively. Type 3: Network-Native SD-WAN Providers These providers combine SD-WAN software capabilities with their own global or regional network infrastructure. The critical difference: they own or directly manage the transport layer, not just the overlay. This means application-aware routing decisions can be made against a network with predictable performance characteristics — not just whatever the cheapest internet circuit does on a given day. DCConnect falls into this category. Our SD-WAN service runs over DCConnect’s own connectivity infrastructure across Asia, including IP Transit, IEPL, and dark fiber routes giving enterprises deterministic performance rather than best-effort internet routing. 7 Criteria That Actually Matter When Evaluating SD-WAN Providers 1. Do They Own the Underlay? This is the most important question. An SD-WAN overlay cannot improve the underlying network performance — it can only intelligently route around problems. If the provider owns and manages the underlying network, they can provision better paths, offer real SLAs on the transport layer, and troubleshoot issues end-to-end. If they don’t, you’re adding complexity without addressing the root cause of poor WAN performance. 2. Coverage in Your Required Geographies For Asia-Pacific enterprises, this is often the deciding factor. Many global SD-WAN providers have excellent coverage in North America and Europe, but thin or resold coverage in Southeast Asia and Northeast Asia. Ask specifically about PoP locations in the countries you need — not just ‘Asia coverage’. 3. Application Performance Visibility SD-WAN’s value comes from application-aware routing — the ability to detect that Salesforce is performing poorly on Link A and automatically shift it to Link B. But not all platforms offer the same depth of visibility. Ask for a demo that shows per-application SLA monitoring, not just interface-level metrics. 4. Security Integration The enterprise security perimeter has dissolved. SD-WAN deployments increasingly need to integrate with SASE (Secure Access Service Edge) frameworks — combining network and security services at the edge. Evaluate whether the provider’s platform natively integrates with your preferred security stack or requires additional overlay complexity. 5. Zero-Touch Provisioning (ZTP) Deploying SD-WAN across 50 or 500 branch locations is only operationally feasible if new sites can be provisioned remotely without sending network engineers on-site. Verify the ZTP capability — and more importantly, test it with a proof-of-concept before signing a full deployment contract. 6. Redundancy and Failover Architecture Ask to see the architecture, not just a promise of ‘99.99% uptime.’ Understand how the SD-WAN platform handles: controller failure, underlay link failure, and provider network outage. The best deployments use multiple transport types (fiber, broadband, 4G/5G) with automated failover that’s invisible to applications. 7. Support Model and Local Presence For Asian enterprises, a 24/7 NOC with native language support (not just an overseas call center) makes a significant difference in mean time to resolution. Ask where their support team is located, what their escalation path looks like, and whether they offer proactive monitoring or only reactive support. Common SD-WAN Mistakes to Avoid SD-WAN for Asia: Why Network Ownership Matters More Here In mature markets, public internet performance between major cities is generally consistent enough to serve as an SD-WAN underlay. In Asia, this is less reliable. Routing between Southeast Asian countries, or between Southeast Asia and Northeast Asia, can traverse multiple carrier handoffs with significant latency variance. DCConnect’s StarWAN SD-WAN solution addresses this specifically. Traffic between your sites in Singapore, Jakarta, Kuala Lumpur, Bangkok, or Manila routes over DCConnect’s own network infrastructure — not over whatever public internet path BGP happens to select that day. The result is deterministic performance for business applications, backed by a network SLA rather than internet best-effort. Frequently Asked Questions Q: Is SD-WAN replacing MPLS completely? A: In many enterprise deployments, SD-WAN is replacing or supplementing MPLS rather than eliminating it entirely. Organizations with latency-sensitive applications often run SD-WAN over a mix of private circuits (MPLS or IEPL for critical traffic) and broadband internet (for general traffic), using SD-WAN’s policy engine to route intelligently across both. Q: How long does SD-WAN deployment take? A: A single-site pilot can be operational in days. Full enterprise deployment across multiple countries typically takes 2–6 months, depending on site count, local regulatory requirements for circuit provisioning, and integration complexity with existing security infrastructure. Q: What is the difference between SD-WAN and SASE? A: SD-WAN is a networking technology that optimizes WAN routing. SASE (Secure Access Service Edge) is a broader architecture that combines SD-WAN with cloud-native security services (CASB, SWG, ZTNA, FWaaS). Many SD-WAN providers are evolving toward SASE, but the security maturity varies significantly between providers. Q: Can SD-WAN work with existing MPLS circuits? A: Yes — hybrid SD-WAN

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IEPL Pricing in Asia 2026: What Enterprises Should Expect

International Ethernet Private Line (IEPL) is one of the most commonly purchased connectivity services for enterprises operating across Asia — and one of the hardest to benchmark on price. Providers rarely publish rates, quotes vary significantly by route, and the range of SLA options makes direct comparison difficult. This guide provides current pricing benchmarks, explains the factors that drive IEPL cost, and helps you understand what a reasonable quote looks like before you enter negotiations. What Is IEPL and Why Does Pricing Vary So Much? IEPL (International Ethernet Private Line) is a dedicated, point-to-point private circuit connecting two locations across an international boundary. Unlike public internet connectivity, IEPL traffic travels on a private, uncontended path — the bandwidth you purchase is dedicated entirely to your traffic. Pricing varies because IEPL costs are driven by: IEPL Pricing Benchmarks by Route (2026) The following benchmarks represent indicative market rates for IEPL in Asia. Actual pricing will vary based on provider, SLA, and contract terms. Use these as reference points when evaluating quotes — not as guaranteed rates. Route 10 Mbps / mo 100 Mbps / mo 1 Gbps / mo Tier Singapore → Hong Kong USD 800–1,200 USD 4,000–6,500 USD 18,000–28,000 Tier 1 route Singapore → Kuala Lumpur USD 300–600 USD 1,500–3,000 USD 8,000–14,000 Tier 1 route Singapore → Jakarta USD 500–900 USD 2,500–5,000 USD 12,000–22,000 Tier 1 route Hong Kong → Tokyo USD 1,000–1,800 USD 5,000–9,000 USD 22,000–38,000 Tier 2 route Singapore → Bangkok USD 600–1,100 USD 3,000–6,000 USD 14,000–24,000 Tier 2 route Hong Kong → Shanghai/Beijing USD 1,200–2,500 USD 6,000–14,000 USD 30,000–60,000 Tier 3 (China premium) Singapore → Seoul USD 900–1,600 USD 4,500–8,000 USD 20,000–35,000 Tier 2 route Note: All pricing is indicative USD/month for 24-month contract. Actual pricing depends on provider, exact PoP locations, SLA, and contract length. Contact DCConnect for a formal quote on your specific route. What Drives IEPL Pricing Higher China Routes Any circuit touching mainland China carries a significant premium — typically 2–5x the equivalent non-China route. This is driven by the controlled access to China’s domestic network, the limited number of authorized international carriers, and the need for licensed local partners inside China. Hong Kong remains the primary gateway, but circuits to Shanghai, Beijing, or Shenzhen still command premium rates. SLA Tier Upgrading from a standard 99.9% SLA to a 99.99% SLA (or diverse path protection) typically adds 15–30% to the monthly cost. For mission-critical applications — banking, real-time trading, or core cloud connectivity — the premium is usually justified by the reduced exposure to outage events. Last-Mile Delivery IEPL pricing quoted for ‘carrier-to-carrier’ (connecting data centers on both ends) is lower than pricing that includes last-mile delivery to your office or non-standard facility. If you’re connecting to a major colocation data center on each end, expect better pricing than if you need physical delivery to a building that requires local loop provisioning. How to Get the Best IEPL Price Frequently Asked Questions Q: Is IEPL pricing negotiable? A: Yes, almost always. Published rates or initial quotes are starting points. Longer contracts, multi-circuit purchases, and competitive pressure all create room for negotiation. Even established providers typically have 10–20% flexibility in their initial quotes. Q: What is the difference between IEPL and IPLC pricing? A: IEPL and IPLC serve similar use cases but are technically distinct. IEPL is Ethernet-based; IPLC is traditionally SDH/TDM-based. In practice, most providers quote them similarly for equivalent bandwidth. IEPL has largely replaced IPLC for new deployments due to its greater flexibility. Q: Does bandwidth commitment matter for pricing? A: Yes significantly. Committed Information Rate (CIR) — guaranteed bandwidth — is what you’re pricing. Some providers offer Peak Information Rate (PIR) burst options above CIR at no extra cost, while others charge for burst. Clarify this when comparing quotes. Q: How does DCConnect’s IEPL pricing compare to major carriers? A: DCConnect typically offers competitive pricing on intra-Asian routes by operating our own network infrastructure rather than reselling wholesale capacity. On key routes like Singapore-HK, Singapore-KL, and Singapore-Jakarta, we can generally match or beat major carrier rates, particularly on 100 Mbps and above.

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IP Transit Pricing Guide 2026: What You Should Be Paying Per Mbps

IP transit is one of the most commoditized services in networking yet pricing transparency in the market remains poor, particularly in Asia. Providers rarely publish rates, and the spread between what a well-informed buyer pays and what an uninformed buyer pays can be 40–60% on the same route. This guide gives you the benchmarks, the billing models, and the negotiation leverage you need to ensure you’re paying market rate for IP transit. What Is IP Transit and How Is It Priced? IP transit is the service that connects your network to the global internet specifically, to the BGP routing table that enables your traffic to reach any destination on the internet. Your IP transit provider aggregates connections to Tier 1 carriers and major peering exchanges, and advertises your routes globally. IP transit is priced primarily on bandwidth: IP Transit Price Benchmarks in Asia (2026) Pricing is influenced heavily by geography. In Asia, the infrastructure investment required to build diverse, high-quality peering relationships differs significantly by country. Market 1G port (CIR) 10G port (95th) 100G port (95th) Notes Singapore $3–7/Mbps/mo $1.50–4/Mbps/mo $0.80–2/Mbps/mo Highly competitive — major IX hub Hong Kong $4–9/Mbps/mo $2–5/Mbps/mo $1–2.50/Mbps/mo Competitive, China traffic premium Jakarta, Indonesia $5–12/Mbps/mo $2.50–7/Mbps/mo $1.20–3.50/Mbps/mo Growing competition, some routes limited Kuala Lumpur $4–10/Mbps/mo $2–5.50/Mbps/mo $1–2.80/Mbps/mo Moderate competition Bangkok, Thailand $5–13/Mbps/mo $2.50–7/Mbps/mo $1.20–3.50/Mbps/mo Growing market Tokyo, Japan $3–8/Mbps/mo $1.50–4.50/Mbps/mo $0.80–2.20/Mbps/mo Large IX, competitive Seoul, South Korea $4–9/Mbps/mo $2–5/Mbps/mo $1–2.50/Mbps/mo Competitive market Note: Rates are indicative per-Mbps monthly costs for 12-month commitments. 95th percentile rates assume moderate traffic patterns. Rates decrease significantly at higher committed volumes. What Drives IP Transit Costs Higher Port Size vs. Committed Rate The port size (1G, 10G, 100G) determines your maximum burst capability. Your committed rate (the amount you pay for) is typically a fraction of port capacity — often 30–60% of the port for initial deployments. Higher committed rates relative to port size increase the effective per-Mbps cost. Peering Quality and Reach IP transit providers with more direct peering relationships deliver better performance at lower cost. Providers who must purchase transit from Tier 1 carriers for onward routing pass those costs through. DCConnect maintains direct peering with Tier 1 carriers and regional IXPs including Equinix Internet Exchange, HKIX, MyIX, SGIX, and JasTel — minimizing hops and transit costs. DDoS Protection Including DDoS scrubbing capacity in your transit service adds to the monthly cost — but the alternative (a DDoS attack taking your service offline for hours) is typically far more expensive. Evaluate whether your traffic profile justifies dedicated scrubbing versus upstream black-hole routing. IPv6 and BGP Complexity Dual-stack (IPv4 + IPv6) with full BGP routing is now standard with quality providers and shouldn’t cost extra. Be wary of providers who charge premium rates for IPv6 transit or BGP session support — these are table-stakes features. How to Negotiate Better IP Transit Rates Frequently Asked Questions Q: What is the difference between IP transit and dedicated internet access (DIA)? A: IP transit and DIA describe the same underlying service connectivity to the global internet via BGP. The term ‘DIA’ (Dedicated Internet Access) emphasizes that the bandwidth is uncontended and dedicated to your organization, whereas ‘IP transit’ is the technical term for the routing service itself. In practice, enterprise-grade IP transit IS dedicated internet access. Q: Is 95th percentile billing always cheaper than committed rate billing? A: For workloads with traffic patterns that peak for short periods but average lower, 95th percentile billing is cheaper — you only pay for peaks that exceed 36 hours per month. For workloads with consistently high traffic, committed rate billing may be similar or lower. Model your actual traffic pattern before choosing. Q: Can I get IP transit without a BGP ASN? A: Yes — providers can announce your IP addresses under their ASN (single-homed transit). However, for enterprise-grade redundancy with multiple providers, having your own ASN and portable IP space is strongly recommended. DCConnect can advise on ASN and IP addressing requirements. Q: What bandwidth options does DCConnect offer for IP transit in Asia? A: DCConnect’s IP Transit is available from 50 Mbps up to 100G at key locations including Singapore, Hong Kong, Jakarta, Kuala Lumpur, Tokyo, and Bangkok. We also offer aggregated Nx100G for carrier-grade requirements.

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AWS Direct Connect vs Public Internet: Which Should Your Enterprise Choose?

Moving mission-critical workloads to AWS raises one key question: should you use AWS Direct Connect, or is the public internet good enough? The answer depends on your specific workload. However, for most enterprise applications, the performance and security gap between the two is bigger than most IT teams expect. This guide breaks down what AWS Direct Connect does, where the public internet falls short, and how to choose the right approach for your workload. What Is AWS Direct Connect? AWS Direct Connect is a dedicated network service. It creates a private connection between your on-premises infrastructure and Amazon Web Services. Instead of routing traffic over the public internet — through multiple carriers and shared bandwidth — Direct Connect gives you a private, consistent path to AWS. Connections range from 50 Mbps up to 100 Gbps. You connect at an AWS Direct Connect location, usually a colocation data centre. From there, traffic flows directly into the AWS backbone. It never touches the public internet. There are three main connection types: AWS Direct Connect vs Public Internet: The Core Differences The table below compares the two options across six key factors. As a result, the tradeoffs become clear at a glance. Factor AWS Direct Connect Public Internet Latency Consistent, low latency (1–5 ms within region) Variable — spikes common during congestion, 20–100 ms+ Bandwidth Guaranteed, dedicated (50 Mbps–100 Gbps) Shared, contended — actual throughput unpredictable Reliability 99.99% SLA available with redundant connections No SLA — BGP routing can change paths without notice Security Traffic never traverses public internet — fully private Data crosses shared infrastructure; exposed to interception Cost Higher monthly cost (port fees + provider fees) Lower cost — standard internet egress fees from AWS Setup Time Days to weeks, depending on colocation access Immediate — configure and connect Best For Mission-critical apps, databases, compliance workloads Dev/test, low-sensitivity data, burst traffic When Does AWS Direct Connect Make a Measurable Difference? Not every workload needs Direct Connect. However, the performance gap is significant for certain use cases. Here are the five scenarios where it matters most. 1. High-Volume Data Transfer Transferring large datasets over public internet is unpredictable and expensive. This includes backup jobs, analytics pipelines, and database replication. AWS charges egress fees, so moving terabytes every day adds up quickly. However, Direct Connect’s consistent bandwidth often delivers faster transfers. As a result, the total cost is often lower than public internet egress fees alone. 2. Real-Time Applications Trading platforms, video conferencing infrastructure, and real-time analytics are all latency-sensitive. Even a 20 ms spike on the public internet can cause timeouts or dropped connections. As a result, user experience suffers. Direct Connect, however, delivers consistent and predictable latency. This makes real-time applications significantly more reliable. 3. Compliance and Data Sovereignty Financial services, healthcare, and government workloads often require that data never cross public networks. AWS Direct Connect keeps data on a private path between your facility and AWS. As a result, it satisfies most major compliance frameworks. These include PCI-DSS, HIPAA, and ISO 27001. 4. Hybrid Cloud Architectures Many enterprises run a mix of on-premises and AWS workloads. In that case, Direct Connect makes the connection behave like a private network extension rather than an internet link. In other words, applications communicate across environments with consistent, predictable performance. 5. Burst-Heavy Workloads with Predictable Costs AWS internet egress fees can grow quickly when workloads generate large outbound traffic volumes. However, Direct Connect pricing is predictable. You pay a fixed port charge plus data transfer rates that are much lower than public internet egress. How Private Cloud Connectivity Works in Asia For enterprises in Southeast Asia and East Asia, the routing advantages of Direct Connect are even more pronounced. Public internet routing across Asia can involve many carrier handoffs. As a result, BGP paths become unpredictable and latency variance increases. This is especially true for cross-border connections between countries in the region. DCConnect provides private cloud connectivity to AWS across Asia. We use our own network infrastructure and partner colocation facilities. These include locations in Singapore, Hong Kong, Tokyo, Jakarta, and Kuala Lumpur. Connecting to AWS Direct Connect through DCConnect gives you: Public Internet for AWS: When It’s Actually Fine Direct Connect isn’t the right choice for every use case. In fact, the public internet with a VPN works well for many scenarios. These include: For these workloads, an internet-based VPN to AWS is cost-effective and simple to manage. AWS Direct Connect Cost Breakdown Understanding Direct Connect pricing helps you decide if the investment makes sense. Here are the four main cost components. Port fees: AWS charges for dedicated port hours at speeds from 1G to 100G. However, hosted connections from providers like DCConnect remove this direct cost. Instead, you pay the provider. Data transfer out: Direct Connect rates are much lower than internet egress. For high-volume workloads, this saving alone can justify the investment. Provider fees: If you use a hosted connection, you’ll pay the provider’s port and bandwidth fees. Cross-connect fees: At colocation facilities, there may also be a fee for the physical connection between your provider’s equipment and the AWS Direct Connect cage. Most enterprises that transfer more than 5 TB per month out of AWS find that Direct Connect pays for itself. In fact, that’s based on egress savings alone — before factoring in performance improvements. Setting Up AWS Direct Connect: The Process Setting up Direct Connect involves six steps. In most cases, DCConnect handles the first four for you. With DCConnect’s hosted connection service, most connections go live within 3–5 business days from order confirmation. Frequently Asked Questions Can I use AWS Direct Connect alongside public internet as a backup? Yes — and this is actually the recommended approach. Direct Connect handles production traffic. Meanwhile, a site-to-site VPN over internet provides automatic failover if the Direct Connect path goes down. Does AWS Direct Connect work for all AWS services? It works for most AWS services via public or private VIFs. Public VIFs connect to public AWS endpoints like

Press Release

DCConnect Launches VERA — the WhatsApp-Native Bulk Connectivity Advisor for Wholesale Connectivity at ITW USA 2026

Instant pricing for wholesale connectivity — by chat, voice note, or spreadsheet, all on WhatsApp. Asia at the core, global reach through partners. WASHINGTON, D.C. — April 19, 2026 — DCConnect Global announced the launch of VERA, the first WhatsApp-native bulk connectivity advisor purpose-built for wholesale connectivity. VERA makes her global debut at International Telecoms Week (ITW) USA 2026at the DCConnect booth #413, where carriers, hyperscalers, and channel partners can put their most complex pricing questions and entire site lists  directly to her. What used to take 48 hours and a stack of PDF quotes now takes 30 seconds and a WhatsApp message. VERA’s most distinctive feature is what she does with a spreadsheet. Upload an Excel of 40 sites  building addresses, A–Z routes, capacity requirements and VERA returns verified pricing for the entire list in a single reply. The same applies to PDFs and Word documents. What used to require days of back-and-forth across multiple vendors becomes one attachment, one response. VERA also responds to voice notes. Carrier sales reps walking the ITW floor, riding between meetings, or fielding a live hyperscale call can speak a pricing question and get a verified answer in the same channel no portal login, no email thread, no PDF. For everyday queries, VERA handles natural-language chat. Send “1Gbps P2P from Singapore SG1 to Tokyo TY8, three-year term” and she returns verified pricing, available routes, and lead times in seconds. Why VERA matters Quoting wholesale connectivity has remained largely unchanged for two decades. A simple price request for a 1Gbps wave between two data centers can take 48 hours, multiple emails, and three PDFs that don’t compare cleanly. VERA collapses that workflow into a single conversation. “The industry has spent years digitising every part of the connectivity stack except the moment a buyer asks ‘what does this cost?’” said Charmond Tsang, CCO, DCConnect Global. “VERA fixes that. She turns a 48-hour RFQ into a 30-second chat without sacrificing accuracy — every price she surfaces comes directly from our WebPricing platform.” Coverage: Southeast Asia at the core, global through partners VERA is built on DCConnect’s on-net infrastructure across Southeast Asia — with operations in Singapore, Malaysia, Thailand, and Indonesia, plus an established network presence in Hong Kong. This is the footprint where DCConnect can quote, deliver, and stand behind the service end-to-end as a single counterparty. Beyond the region, VERA extends coverage through DCConnect’s partner ecosystem — giving carriers and hyperscalers a single WhatsApp interface to query pricing across global inter-data-center routes. The result: deep, defensible Asia capability at the core, with global reach for partners whose enterprise customers operate worldwide What’s next Pricing is the first conversation. Subsequent VERA releases will extend the WhatsApp workflow into order status, capacity availability alerts, and provisioning, collapsing more of the wholesale connectivity lifecycle into the channel buyers already use every day. About DCConnect Global DCConnect Global is a Singapore-headquartered telecommunications company with self-operated network assets across Southeast Asia. Operating in Singapore, Malaysia, Thailand, and Indonesia, DCConnect serves international carriers, hyperscalers, data center operators, and channel partners delivering connectivity services to enterprise customers across Asia. The company’s portfolio includes internet access, Layer 2 Data Center Interconnect (DCI), and Layer 1 dark fiber and wavelength services, all supported by self-operated infrastructure and delivered to international enterprise service standards. DCConnect was named APAC NaaSProvider of the Year by the MEF Forum in 2023. Media Contact Rinesa Diola Audrina Digital Marketing Manager, DCConnect Global Rinesa.diola@dcconnectglobal.com www.dcconnectglobal.com

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From Cloud to AI: Building Scalable Enterprise Infrastructure for the Future

Businesses are changing fast. First, they moved from on-site servers to the cloud. Now, they are moving from the cloud to AI. So enterprise infrastructure must change too. AI needs more than just cloud storage. It needs fast, reliable, and scalable networks. But many businesses still use old setups that cannot handle AI workloads. As a result, companies must rethink how they build their digital infrastructure. The goal is to support both cloud and AI — at the same time. What Is Enterprise Infrastructure for AI? Enterprise infrastructure is the base that runs all digital tools. It includes servers, networks, storage, and internet connections. However, AI adds new demands to all of these. For example, AI systems process large amounts of data in real time. So they need low latency and high bandwidth. In addition, they must connect to cloud platforms without interruption. Therefore, modern enterprise infrastructure must be fast, stable, and built to scale. Why Businesses Are Moving from Cloud to AI Cloud computing changed the way businesses work. It made storage cheaper and tools more accessible. But AI takes this further. AI can analyze data, predict trends, and automate tasks. So businesses that use AI gain a real edge. However, AI only works well when the infrastructure supports it. For example, a slow or unstable connection can break AI workflows. As a result, companies lose the benefits AI can offer. Therefore, moving from cloud to AI requires a strong infrastructure upgrade. Key Challenges in Building AI-Ready Infrastructure 1. High Bandwidth Demands AI systems use a lot of bandwidth. For instance, training models and running real-time analytics both require fast data transfer. But most shared networks cannot keep up. So businesses need dedicated, high-capacity connections. In addition, these connections must stay stable even during peak hours. 2. Low Latency Requirements AI tools must respond fast. For example, AI chatbots and fraud detection systems work in milliseconds. But network delays slow everything down. Therefore, low latency is not optional — it is a must. However, shared internet often has inconsistent latency. So businesses need a better solution. 3. Scalable Network Capacity AI workloads grow over time. So infrastructure must scale as the business grows. But building too much capacity too early wastes money. In addition, businesses need flexible plans that grow with their needs. Therefore, scalable infrastructure is a key part of any AI strategy. 4. Secure and Reliable Connections AI systems handle sensitive data. For example, healthcare AI processes patient records, and finance AI handles transactions. So security is critical. However, public internet connections are not always secure. As a result, businesses need private and protected network paths. How to Build Scalable Enterprise Infrastructure for AI Start with a Dedicated Internet Connection Shared broadband is not enough for AI. But Dedicated Internet gives your business a private line. So your AI tools always get the bandwidth they need. In addition, Dedicated Internet offers stable speeds and low latency. Therefore, it is the best foundation for AI infrastructure. Use Cloud-Ready Network Solutions Most AI tools connect to cloud platforms. For example, AWS, Azure, and Google Cloud all power popular AI services. So your network must connect to these platforms reliably. However, a weak internet link creates bottlenecks. As a result, cloud performance drops and AI tools slow down. Therefore, businesses need cloud-optimized connectivity to get the most from AI. Plan for Scalability from Day One AI use grows quickly. So your infrastructure must be ready to scale. For example, adding more AI tools or users should not require a full network rebuild. In addition, scalable infrastructure saves money in the long run. So plan ahead and choose flexible solutions. Partner with the Right Connectivity Provider Not all internet providers support enterprise AI needs. But the right partner can make a big difference. For example, they can offer SLA guarantees, fast support, and custom plans. Therefore, choosing a provider that understands AI workloads is very important. How DCConnect Supports Cloud-to-AI Infrastructure DCConnect helps businesses build the network foundation for AI. So companies can move from cloud to AI without losing performance. With DCConnect, businesses get: In addition, DCConnect serves businesses across Asia with a strong regional network. So companies in key markets can connect faster and more reliably. Therefore, DCConnect is a trusted partner for businesses building AI-ready infrastructure. Industries Building AI Infrastructure Today Many sectors are investing in AI infrastructure now. So the demand for scalable enterprise networks is growing fast. Financial Services — Banks use AI for fraud detection and risk analysis. So they need fast, secure, and stable connections. Healthcare — Hospitals use AI for diagnostics and patient care. Therefore, reliable internet is essential for life-critical systems. Retail and E-Commerce — Retailers use AI for personalization and supply chain management. In addition, fast networks help them serve customers better. Manufacturing — Factories use AI and IoT for smart production. But any network failure can stop the entire line. Telecommunications — Telecom firms use AI to manage networks and improve service. So they need infrastructure that can handle huge data flows. The Future of Enterprise Infrastructure AI is not a trend — it is the future of business. So enterprise infrastructure must evolve to support it. First, businesses will need faster and more stable internet. Then, they will need direct cloud access and low-latency networks. In addition, security and scalability will become even more important. However, building this infrastructure takes time and planning. So the best time to start is now. As AI grows, so will the need for better enterprise networks. Therefore, businesses that invest today will have a strong advantage tomorrow. Final Thoughts Moving from cloud to AI is a big step. But it is a necessary one for businesses that want to stay competitive. Scalable enterprise infrastructure is the key. It must support fast data, stable connections, and growing AI workloads. However, you do not have to build it alone. DCConnect offers the connectivity solutions businesses need to make this transition. So if you are

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Dedicated Internet for AI Applications: Improve AI Speed and Stability

Businesses use AI every day. They use it for customer service, cloud tools, and data work. So internet quality is now a top priority. AI systems need fast and stable connections. But slow internet can break AI tools. As a result, businesses lose time and money. Dedicated Internet gives each company its own private connection. Therefore, AI apps run more smoothly every day. Why AI Needs Better Internet AI apps move a lot of data. For example, chatbots and voice tools send data to the cloud non-stop. But shared internet slows down during busy hours. As a result, AI tools may face: However, Dedicated Internet helps prevent these problems. So businesses get faster and more stable connections. What Is Dedicated Internet? Dedicated Internet is a private line for one business only. It is not shared with others. Therefore, your business always gets full bandwidth. Key features include: In addition, many plans come with SLA protection and enterprise support. So it is a strong choice for critical AI work. Benefits of Dedicated Internet for AI Applications Faster AI Response Times Many AI tools must work in real time. For example, chatbots and voice tools need to reply right away. But slow internet causes delays. Dedicated Internet cuts latency. So AI systems can respond much faster. As a result, users get a better experience. More Stable Bandwidth AI systems handle huge data loads each day. For instance, businesses upload datasets and sync cloud servers often. But shared internet can slow down at peak times. However, Dedicated Internet keeps speeds steady. In addition, uploads and downloads stay consistent. So AI workloads run without issues. Better Cloud Connectivity Most AI tools run on AWS, Azure, or Google Cloud. Therefore, a strong internet link is vital. Dedicated Internet helps with: But weak internet slows all of this down. As a result, teams lose productivity. Industries Using Dedicated Internet for AI Many sectors now depend on AI. So reliable internet is more important than ever. Healthcare — Hospitals use AI for care and telemedicine. Therefore, stable internet protects patients. Financial Services — Banks use AI to detect fraud. So low latency is a must. Telecommunications — Telecom firms use AI for network monitoring. As a result, they need rock-solid connections. Retail and E-Commerce — Retailers use AI for support and recommendations. In addition, fast internet helps them serve customers better. Manufacturing — Factories use AI and IoT for maintenance. But any connection loss can stop production. Dedicated Internet vs. Shared Broadband Feature Dedicated Internet Shared Broadband Speed Stability High Variable Latency Low Inconsistent Upload Speed Fast Limited Reliability Strong Unstable AI Performance Better Limited AI use is growing fast. So more businesses are choosing Dedicated Internet over shared plans. How DCConnect Supports AI Connectivity DCConnect offers Dedicated Internet for AI and cloud users. With DCConnect, businesses can get: In addition, DCConnect supports digital growth and cloud expansion. So companies can scale their AI work with ease. Final Thoughts AI tools need fast, stable internet to perform well. But slow connections hurt speed, output, and user experience. However, Dedicated Internet for AI Applications fixes this. It provides stable bandwidth, low latency, and strong cloud links. So businesses can run AI tools better and grow with confidence.

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AI Traffic Is Growing. Is Your Network Ready?

AI is growing fast. Today, many companies use AI for chatbots, automation, analytics, and cloud apps. Because of this, internet traffic is rising every day. As traffic grows, networks face more pressure. So, businesses must prepare for higher demand. The question is simple: Can your network handle AI traffic? AI Creates Heavy Traffic AI systems move large amounts of data. They connect users, apps, cloud platforms, and data centers in real time. Because of this, networks work harder than before. Many companies now face: In the past, older networks worked well enough. However, AI workloads are much larger now. As a result, businesses need faster and more stable connectivity. AI Needs Fast Connections AI tools depend on speed. They also need stable network performance. For example: If the network slows down, AI performance drops. As a result, users may experience delays. Therefore, many businesses upgrade their infrastructure before growing AI projects. Dedicated Internet Improves Performance Shared internet connections often struggle with AI traffic. Because of this, many businesses use Dedicated Internet Access (DIA). DIA provides: In addition, DIA helps reduce slowdowns during busy hours. DCConnect Global provides Dedicated Internet solutions for modern business traffic. Multi-Cloud Connectivity Is Important Today, many companies use more than one cloud platform. For example: However, moving data between clouds can become difficult. Because of this, businesses need better cloud connectivity. DCConnect Global’s Multi-Cloud Connect solution helps companies connect cloud platforms securely and efficiently. As a result, businesses gain: Low Latency Matters AI applications need fast response times. Because of this, low latency is important for: If routing is poor, applications become slower. Therefore, businesses need reliable global connectivity. DCConnect Global helps companies improve routing through global network solutions. Hybrid Cloud Keeps Growing Many businesses now combine private infrastructure with public cloud services. This setup offers more flexibility. However, it also creates more network complexity. Because of this, hybrid cloud connectivity is becoming more important. DCConnect Global’s Hybrid Cloud Connect solution helps businesses connect private systems and cloud platforms securely. As a result, companies can manage AI workloads more easily. AI Traffic Can Raise Costs AI traffic affects both performance and spending. Without proper infrastructure, businesses may face: However, better connectivity can reduce these problems. In addition, smarter routing helps businesses improve efficiency and lower costs. How DCConnect Global Supports AI Growth DCConnect Global helps businesses prepare for AI demand through: These solutions help companies build networks that are: The Future Needs Better Networks AI traffic will continue to grow in the coming years. Because of this, businesses must prepare now. Companies that delay upgrades may face: On the other hand, businesses with strong infrastructure can scale faster and perform better. Final Thoughts AI is changing modern business. However, AI systems need fast and reliable connectivity to work properly. Therefore, modern network infrastructure is now essential. Businesses that improve their networks today will be more ready for the future of AI.

AI-Ready Infrastructure dashboard for modern businesses in 2026
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AI-Ready Infrastructure: What Modern Businesses Need in 2026

The race to adopt artificial intelligence is no longer optional. In 2026, AI-Ready Infrastructure has become the deciding factor between businesses that scale and those that stall. As enterprises across Indonesia and Southeast Asia accelerate digital transformation, having the right foundation for AI workloads is critical. However, many organizations still rely on legacy systems that simply cannot keep up with modern AI demands. So, what does AI-Ready Infrastructure actually look like? Moreover, why is it so essential for businesses competing in today’s fast-moving market? In this guide, we will break down the key components, benefits, and best practices that every modern business should understand. Furthermore, we will explore how DCC empowers organizations to build scalable, secure, and future-proof AI environments. Whether you are a startup founder, a CTO, or an IT decision-maker, this article will help you make smarter infrastructure choices. In addition, you will discover practical steps to evaluate your readiness, avoid common pitfalls, and accelerate your AI journey. By the end, you will see why AI-Ready Infrastructure has shifted from a buzzword to a real competitive advantage. What Is AI-Ready Infrastructure? AI-Ready Infrastructure refers to a technology stack purposely designed to support the unique demands of artificial intelligence and machine learning workloads. Unlike traditional IT environments, it must handle massive parallel computing, real-time data ingestion, and high-throughput storage. As a result, businesses can train models faster, deploy AI applications at scale, and unlock data-driven insights with confidence. In simple terms, AI-Ready Infrastructure combines compute, storage, networking, software, and governance into one cohesive ecosystem. Additionally, it must be flexible enough to accommodate emerging frameworks, evolving compliance standards, and unpredictable workload spikes. Therefore, it is far more than just bolting GPUs onto existing servers. Why AI-Ready Infrastructure Matters in 2026 The volume of data generated globally is expected to surpass 180 zettabytes by the end of 2026. Consequently, businesses that cannot process this data efficiently will fall behind. AI-Ready Infrastructure makes it possible to extract value from this data at a speed, scale, and accuracy that traditional setups simply cannot match. Furthermore, generative AI, predictive analytics, and intelligent automation are now mainstream tools. For instance, customer service teams use large language models, marketing teams use AI-driven personalization, and finance teams use machine learning for fraud detection. Without AI-Ready Infrastructure, these workloads stall, performance suffers, and return on investment drops significantly. In addition, regulatory frameworks across Indonesia, including UU PDP, demand strict data governance and data sovereignty. Therefore, modern businesses need infrastructure that is not just powerful but also compliant. As a result, choosing the right partner like DCC has become a strategic decision rather than a purely technical one. Beyond compliance, AI-Ready Infrastructure also delivers measurable business outcomes. For example, leading retailers have cut customer acquisition costs by up to 30 percent after adopting AI-driven personalization. Similarly, financial institutions report 40 percent faster fraud detection thanks to real-time model inference. Therefore, the business case is no longer theoretical; it is proven across nearly every industry vertical. Core Components of AI-Ready Infrastructure Building AI-Ready Infrastructure requires more than purchasing hardware. Instead, it involves orchestrating several layers that work together seamlessly. Below are the most essential components every organization should evaluate carefully. Scalable Compute Power (GPU and TPU) AI workloads consume enormous compute resources. As a result, scalable GPU and TPU clusters form the backbone of any AI-Ready Infrastructure. Furthermore, modern accelerators such as NVIDIA H200, Blackwell, and AMD Instinct deliver unprecedented performance for both training and inference. Therefore, businesses should choose a provider that offers flexible access to the latest accelerators without long lead times. High-Performance Storage Data is the fuel that powers AI models. Consequently, storage must be fast, redundant, and capable of handling petabyte-scale datasets. NVMe-based storage, low-latency object storage, and parallel file systems are now baseline requirements. Additionally, data lakes and lakehouses provide a unified layer that simplifies access for data scientists and engineers alike. Low-Latency Networking Modern AI clusters rely on lightning-fast interconnects to keep GPUs synchronized. For example, InfiniBand and RoCE deliver microsecond-level latency that traditional Ethernet cannot match. Furthermore, software-defined networking allows for dynamic provisioning and segmentation. As a result, AI workloads run faster, more reliably, and at a lower cost per inference. Data Pipeline and Governance Without clean, well-governed data, even the best AI models will fail. Therefore, AI-Ready Infrastructure must include automated data pipelines, version control, lineage tracking, and metadata management. Moreover, governance ensures that sensitive data remains protected, auditable, and compliant with local regulations at all times. Security and Compliance Layer Security is non-negotiable in 2026. AI-Ready Infrastructure must integrate zero-trust principles, encryption at rest and in transit, and continuous threat monitoring. Additionally, compliance with international standards such as ISO 27001, SOC 2, and PCI DSS is essential. As a result, businesses can confidently deploy AI without exposing themselves to legal or reputational risk. Orchestration and MLOps Tooling Even the best hardware fails without smart orchestration. Therefore, AI-Ready Infrastructure should include Kubernetes-based orchestration, container registries, and MLOps tooling such as Kubeflow, MLflow, or Ray. Furthermore, these tools automate the model lifecycle, from experimentation and training to deployment and monitoring. As a result, your data science teams can ship models faster and iterate with greater confidence. Common Challenges When Building AI-Ready Infrastructure Although the benefits are clear, building AI-Ready Infrastructure presents real challenges. For instance, GPU shortages, rising energy costs, and skill gaps are common obstacles. Furthermore, many businesses underestimate the complexity of integrating AI workloads into existing legacy systems. In addition, data silos remain a major barrier. Many enterprises store data across disconnected systems, which makes training meaningful AI models extremely difficult. Moreover, the lack of clear governance often leads to compliance risks and project delays. Therefore, partnering with experts like DCC is often more cost-effective than going it alone. Cost predictability is another concern that often gets overlooked. For instance, GPU-hours, egress fees, and storage costs can spiral quickly if workloads are not optimized. Furthermore, surprise bills can derail entire AI projects and erode executive trust. Therefore, businesses should choose