Top H100 Cloud Providers in Asia Pacific

Looking to deploy high-performance AI models? Minimizing latency and ensuring data sovereignty is critical. Compare 9 bare-metal and cloud providers offering H100 GPU instances in the Asia Pacific region.

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E2E Networks

Best for Indian Enterprises, Cost-effective LLM Training, Data Localization

H100A100L40S📍 India (Delhi NCR, Mumbai)
from$0.57/ hr Live 8.9/10
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Gcore

Best for Global AI Deployment, High-Performance Compute, Edge Inference

H100L40SA100📍 Global (Luxembourg, Newport
from$0.81/ hr Live 9.1/10
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Vultr

Best for Edge AI, Application Developers requiring unified infrastructure, Web Apps + AI

H100A100 80GBA40📍 Global (30+ Data Centers)
from$0.85/ hr Live 8.8/10
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RunPod

Best for AI Inference, Image Generation, Fine-Tuning, Budget ML

H100 SXM5H100 PCIeA100 SXM4 80GB📍 US East, US West
from$0.16/ hr Live 8.8/10
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Google Cloud (GCP)

Best for AI Innovation, TPU Training, MLOps (Vertex AI)

H100A100 80GBL4📍 Global (35+ regions)
from$1.00/ hr 9.3/10
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Microsoft Azure

Best for Enterprises, OpenAI Integrations, Hybrid Cloud

H100 (ND H100 v5)A100V100📍 Global (60+ regions)
from$1.00/ hr 9.2/10
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Amazon Web Services (AWS)

Best for Enterprise Production, Model Deployment, Massive Scale

H100 (p5)A100 (p4)T4📍 Global (30+ regions)
from$1.00/ hr 9.5/10
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Vast.ai

Best for Budget GPU Compute, Image Generation, Fine-Tuning, Batch Processing

RTX 4090RTX 4080A100 80GB📍 Global (100+ countries, decentralized peer-to-peer network)
from$0.09/ hr 8.3/10
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Why Choose Asia Pacific for H100 Workloads?

Optimized Latency (TTFT)

If your end-users or application servers are located near Asia Pacific, hosting your H100 clusters in the same geographic zone will drastically reduce Time To First Token (TTFT) for LLM inference and real-time generation APIs.

Compliance & Data Sovereignty

Training models on proprietary, healthcare, or financial data often requires strict legal compliance. Utilizing bare-metal data centers specifically located in Asia Pacific guarantees that your sensitive data adheres to local data privacy regulations.