H200 SXM on Nebius
Visit NebiusNebius delivers NVIDIA H200 SXM GPUs, boasting 141GB HBM3e memory and Hopper architecture, optimized for large-scale AI training, inference, HPC, and analytics. This enterprise-tier offering excels in memory-intensive workloads like training massive LLMs or processing vast datasets, with 4.8 TB/s memory bandwidth surpassing the H100. Nebius, an AI-centric public company, provides EU/US-compliant infrastructure ideal for enterprises in regulated sectors. Key value propositions include managed Kubernetes for seamless scaling, per-second billing for cost efficiency, and spot instances for flexible workloads. Transparency from its public status, combined with startup-like AI focus, ensures reliability without vendor lock-in. ML engineers benefit from simplified operations, high performance, and compliance, making this a strong choice for production AI deployments requiring robust memory and security.
Why NVIDIA H200 SXM on Nebius?
Choose Nebius for NVIDIA H200 SXM when compliance and managed operations are critical. Its EU/US-compliant data centers safeguard sensitive AI workloads, complementing the GPU's enterprise-grade Hopper capabilities. Per-second billing and spot instances align with the H200's high utilization in bursty training jobs, minimizing costs. Managed Kubernetes enables effortless multi-GPU scaling, leveraging the H200's NVLink interconnects. As a public company, Nebius offers financial transparency rare in GPU clouds, while its AI-focused agility ensures rapid feature rollouts. This combination uniquely balances regulatory needs, operational simplicity, and cost optimization for teams deploying memory-hungry models.
Live Pricing
Real-time NVIDIA H200 SXM offers from Nebius
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Nebius | NVIDIA H200 SXM 141GB VRAM | 141GB | 16 vCPU 200GB RAM | 🌍Europe | $2.45/GPU/hr | Sold Out | ||
Nebius | NVIDIA H200 SXM 141GB VRAM | 141GB | 16 vCPU 200GB RAM | Kansas City, Missouri | $4.50/GPU/hr | Available | ||
Nebius | NVIDIA H200 SXM 141GB VRAM | 141GB | 16 vCPU 200GB RAM | France | $4.50/GPU/hr | Available | ||
Nebius | 8×NVIDIA H200 SXM 141GB VRAM | 141GB | 128 vCPU 1600GB RAM | Finland | $4.50/GPU/hr $36.00/hr total (8×) | Sold Out | ||
Nebius | 8×NVIDIA H200 SXM 141GB VRAM | 141GB | 128 vCPU 1600GB RAM | Kansas City, Missouri | $4.50/GPU/hr $36.00/hr total (8×) | Sold Out |
Performance Notes
On Nebius, expect H200 SXM to deliver peak Hopper performance: up to 4,000 TFLOPS FP8 and 2,000 TFLOPS FP16, with 141GB HBM3e at 4.8 TB/s bandwidth for large batch training. Multi-GPU scaling via NVLink (900 GB/s) supports efficient parallelism, likely enhanced by Nebius's high-speed networking (400 Gbps+ InfiniBand/RoCE). Fast NVMe storage options aid data loading. Specific benchmarks are limited pre-general availability; real-world MLPerf results pending. Strong for transformer models, but verify cluster configs for optimal DGX-like topologies.
An AI-centric infrastructure company providing managed services for EU/US compliant workloads.
Best For
Unique Features
- Public company with transparency
- Startup-like focus on AI
VRAM
141GB
Architecture
Hopper
Tier
enterprise
Platform Features
Getting Started
Nebius simplifies H200 SXM access via its AI Cloud console and managed Kubernetes. Sign up for an account, configure billing, and launch GPU-accelerated clusters or pods in minutes, with pre-built images for PyTorch/TensorFlow.
Steps
- 1Create a Nebius account at console.nebius.com and complete identity verification.
- 2Add payment method and set budget alerts for per-second billing.
- 3Launch a Kubernetes cluster: select H200 SXM nodes via the GPU catalog.
- 4Deploy your workload using Helm charts or kubectl with NVIDIA operators.
- 5Monitor via console dashboards and scale with autoscaling groups.
Pro Tips
- Leverage spot instances for non-urgent training to cut costs by up to 70% while using H200's full memory.
- Pre-warm datasets on NVMe storage to maximize HBM3e utilization during long training runs.
- Enable NVIDIA DCGM for real-time GPU telemetry to optimize multi-node scaling.
Frequently Asked Questions
What is Nebius's billing model for NVIDIA H200 SXM?▾
Nebius bills per-second for GPU instances including NVIDIA H200 SXM. Per-second billing ensures you only pay for exactly the compute time you use, which is particularly cost-effective for short experiments, iterative development, and workloads with variable duration.
Does Nebius offer spot instances for NVIDIA H200 SXM?▾
Yes, Nebius offers spot/preemptible instances for NVIDIA H200 SXM, which can reduce costs by 50-80% compared to on-demand pricing. Spot instances are ideal for fault-tolerant workloads like batch inference, hyperparameter tuning, and training jobs with checkpointing. Note that spot instances can be interrupted when demand is high, so ensure your workflow can handle preemption gracefully.
Does Nebius offer reserved instances for NVIDIA H200 SXM?▾
Yes, Nebius 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 Nebius for current reserved pricing and commitment terms.
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