H200 SXM on GMI Cloud
Visit GMI CloudGMI Cloud delivers the NVIDIA H200 SXM GPU, equipped with 141GB HBM3e VRAM on the Hopper architecture, tailored for intensive AI, HPC, and data analytics workloads. This upgrade from the H100 doubles memory capacity, enabling seamless handling of massive models like LLMs during training and inference. As a vertically integrated provider, GMI Cloud leverages deep supply chain partnerships for rapid H100/H200 access—crucial when hyperscalers face shortages. Ideal for startups and enterprises needing on-demand compute, it offers per-hour billing for flexible, cost-effective scaling. Unique features include the Cluster Engine for managed Kubernetes, simplifying multi-GPU orchestration. This offering stands out for its reliability amid GPU scarcity, empowering ML engineers with enterprise-grade performance without wait times. Key value propositions: immediate availability, optimized Hopper support, and infrastructure designed for production AI pipelines, making it a strategic choice for time-sensitive projects.
Why NVIDIA H200 SXM on GMI Cloud?
Opt for GMI Cloud's NVIDIA H200 SXM when hyperscalers are backlogged— their vertical integration and supply chain depth ensure instant provisioning of this 141GB VRAM powerhouse. Per-hour billing suits bursty ML workflows, reducing costs versus reserved instances. The Cluster Engine excels for H200's multi-GPU needs, automating Kubernetes deployments with NVLink-aware scaling for Hopper efficiency. This combo amplifies the GPU's strengths in memory-bound tasks like LLM fine-tuning, where H200's 4.8 TB/s bandwidth shines. GMI's focus on availability complements the enterprise tier, offering stability for production without the procurement hurdles of traditional providers.
Live Pricing
Real-time NVIDIA H200 SXM offers from GMI Cloud
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 GMI Cloud | NVIDIA H200 SXM 141GB VRAM | 141GB | 22 vCPU 200GB RAM 60GB Storage | Denver | $3.35/GPU/hr | Sold Out | ||
GMI Cloud | 8×NVIDIA H200 SXM 141GB VRAM | 141GB | 176 vCPU 1600GB RAM 60GB Storage | Denver | $3.35/GPU/hr $26.80/hr total (8×) | Sold Out | ||
GMI Cloud | 2×NVIDIA H200 SXM 141GB VRAM | 141GB | 44 vCPU 400GB RAM 60GB Storage | Denver | $3.35/GPU/hr $6.70/hr total (2×) | Sold Out | ||
GMI Cloud | 4×NVIDIA H200 SXM 141GB VRAM | 141GB | 88 vCPU 800GB RAM 60GB Storage | Denver | $3.35/GPU/hr $13.40/hr total (4×) | Sold Out | ||
GMI Cloud | 8×NVIDIA H200 SXM 141GB VRAM | 141GB | 128 vCPU 1024GB RAM 20GB Storage | Denver | $3.50/GPU/hr $28.00/hr total (8×) | Sold Out |
Performance Notes
NVIDIA H200 SXM on GMI Cloud delivers exceptional Hopper performance: 141GB HBM3e at 4.8 TB/s bandwidth, optimized for FP8/FP16 AI training and large-model inference. Expect strong multi-GPU scaling via NVLink (up to 900 GB/s bidirectional) or InfiniBand, though exact provider interconnects (e.g., 400Gbps RoCE) require confirmation. Storage likely includes NVMe SSDs for datasets; Kubernetes Cluster Engine aids distributed training. Real-world benchmarks are emerging, but H200 excels in transformer workloads. Limitations: public node configs sparse—verify bandwidth and liquid cooling for sustained peaks. Honest assessment: availability trumps hyperscalers, but test for your workload.
A vertically integrated provider offering rapid access to NVIDIA H100/H200 GPUs through deep supply chain integration.
Best For
Unique Features
- Cluster Engine for managed Kubernetes
- Strong supply chain ensuring hardware availability
VRAM
141GB
Architecture
Hopper
Tier
enterprise
Platform Features
Getting Started
Launch NVIDIA H200 SXM on GMI Cloud quickly via their dashboard or API. Sign up, configure instances with 141GB VRAM Hopper GPUs, and deploy using managed Kubernetes. Per-hour billing enables low-commitment testing of AI workloads, with rapid scaling for production.
Steps
- 1Sign up for GMI Cloud account and complete identity verification process.
- 2Access GPU marketplace, select H200 SXM, and choose node count/storage.
- 3Configure networking, Kubernetes via Cluster Engine if multi-node needed.
- 4Launch instance; retrieve SSH keys or Jupyter access details.
- 5Install NVIDIA CUDA drivers, Docker, and ML frameworks like PyTorch.
Pro Tips
- Leverage Cluster Engine for auto-scaling H200 clusters, optimizing NVLink for distributed training efficiency.
- Monitor per-hour costs and use spot pricing if available for cost savings on non-critical jobs.
- Pre-build custom Docker images with NGC containers to slash H200 startup times significantly.
Frequently Asked Questions
What is GMI Cloud's billing model for NVIDIA H200 SXM?▾
GMI Cloud bills per-hour for GPU instances including NVIDIA H200 SXM. Hourly billing means you pay for full hours even if your job completes mid-hour. Plan your workloads accordingly to maximize cost efficiency.
Does GMI Cloud offer spot instances for NVIDIA H200 SXM?▾
No, GMI Cloud does not currently offer spot instances for NVIDIA H200 SXM. All instances are billed at on-demand rates. However, they do offer reserved instances for committed usage, which can provide significant discounts for long-term workloads.
Does GMI Cloud offer reserved instances for NVIDIA H200 SXM?▾
Yes, GMI Cloud offers reserved instance pricing for NVIDIA H200 SXM, which can provide significant discounts (typically 20-40% off on-demand rates) for committed usage periods. Reserved instances are ideal for predictable, long-running workloads like production inference services, ongoing training pipelines, or development environments that run continuously. Contact GMI Cloud for current reserved pricing and commitment terms.
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