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Asia neocloud providers 2026: a buyer's comparison - Neocloud Asia

Which Asia-focused neocloud providers matter in 2026, how they differ from each other, and how to shortlist 2–3 for an actual benchmark.

Neocloud Asia Team September 25, 2026 4 min read
neocloud asia GPU AI infrastructure buyers guide

If you’re shopping for GPU capacity in Asia in 2026, you face a market that’s grown fast enough to be confusing. Two years ago the choice was “hyperscaler or nothing.” Today there’s a meaningful long tail of regional neocloud operators plus the global players with serious Asia footprint.

This post is a working map of who’s worth evaluating, what separates them, and how to pick between them. It complements our what is a neocloud guide — read that first if you want the category definition.

Who’s actually shipping GPU capacity in Asia

Three buckets cover most of the market:

1. Global neocloud operators with Asia footprint. CoreWeave, Lambda, Crusoe, Vultr, and RunPod all have at least one Asian region or partner facility. Pros: mature schedulers, transparent pricing, often newest accelerators. Cons: limited Asia-specific data-residency guarantees; some still primarily North-American ops.

2. Asia-headquartered neocloud and GPU-as-a-service operators. This is where the action is in 2026. Operators to evaluate include:

  • YTL Data Center / YTL Cloud (Malaysia, Singapore) — Nvidia H100 / H200 partner, sovereign Malaysia position
  • VNET (China) — large carrier-neutral footprint, AI training clusters in Beijing / Shanghai
  • GDS (China) — primarily colocation but increasingly GPU cloud wraps
  • NTT GDC + GPU Cloud (Japan, Singapore, regional) — strong Tier-III base, GPU offerings on top
  • Chindata / Rangecloud (China, ASEAN) — carrier-neutral with AI training zones
  • Sakura Internet (Japan) — domestic GPU cloud, strong for sovereign Japan workloads
  • NHN Cloud (South Korea) — domestic GPU and AI inference
  • Bridge Alliance / local telcos (Singapore, Indonesia, Thailand) — emerging GPU offerings

3. Hyperscaler regions in Asia. AWS, Azure, Google Cloud, Oracle Cloud, Alibaba Cloud, Tencent Cloud all run multiple Asia regions. AI workload availability fluctuates; data-residency compliance is the strongest reason to choose them.

Five axes that actually separate them

We covered the full evaluation framework in how to evaluate a neocloud provider. The short version, ranked by what usually matters:

  1. GPU inventory — Which accelerators, how many, what generation. A provider with 5,000 H100s and a provider with 200 H100s and 800 MI300X are very different businesses even if both list “GPU cloud” on the homepage.
  2. Interconnect — InfiniBand NDR / XDR vs. 200/400 GbE decides whether multi-node training is viable. Most providers publish specs; some don’t.
  3. Data residency — Where the GPUs physically sit, and whether you can pin a workload to a specific region for compliance.
  4. Pricing model — Hourly, monthly reserved, multi-year commit. Egress fees between regions. Discounts for committed use.
  5. Support tier — Slack access to engineers, or ticket-only. Onboarding help with scheduler setup.

How to actually pick

Stop trying to evaluate all of them. Pick 2–3 providers that look promising on axes 1–3 (the ones that constrain you), run a 1–2 day benchmark on a representative training job, and let cost-per-GPU-hour × actual throughput pick the winner.

Two practical notes:

  • Don’t benchmark alone. Negotiate paid POC terms — most providers will give you credits to evaluate in exchange for a short case study.
  • Don’t skip the egress / data transfer math. Per-hour GPU cost is the visible number; egress to your data lake in another region can quietly double the bill.

Where Neocloud Asia fits in

We don’t sell GPU capacity. We’re the Asia data center directory that helps buyers shortlist facilities and operators — including the neoclouds above, traditional colocation for private clusters, and hyperscaler regions. For each facility we list published power capacity, interconnect count, fiber connections, and cloud on-ramps where available.

If you’re starting from “I need GPU capacity in Asia and I don’t know who’s serious,” browse the directory and filter by country, capacity, or operator.

Want the full category definition? Read what is a neocloud. Ready to talk to providers? Get in touch.