H100 SXM5 on Nebius
Visit NebiusNebius delivers the NVIDIA H100 SXM5 GPU, equipped with 80GB HBM3 VRAM on the Hopper architecture, tailored for enterprise-grade AI training, inference, and HPC workloads. This combination is noteworthy for ML engineers and data scientists at compliance-focused enterprises, offering EU/US data sovereignty alongside top-tier compute. Nebius, a public AI infrastructure company, provides managed Kubernetes services, per-second billing, and spot instances, enabling cost-effective scaling without operational overhead. Key value propositions include transparent governance, startup agility in AI optimizations, and seamless integration with NVIDIA's ecosystem for accelerated Hopper performance—up to 4x faster than A100 in FP8 training benchmarks. Ideal for regulated industries, it supports massive models like LLMs while ensuring HIPAA/GDPR compliance, high availability, and efficient resource utilization via K8s orchestration.
Why NVIDIA H100 SXM5 on Nebius?
Opt for Nebius with NVIDIA H100 SXM5 for enterprises prioritizing EU/US compliance in AI workloads. Nebius's managed Kubernetes excels in orchestrating multi-GPU Hopper setups, simplifying complex scaling over self-managed alternatives. Per-second billing and spot instances optimize costs for bursty training jobs, complementing the H100's high VRAM and Transformer Engine efficiency. As a public company, Nebius offers financial transparency and reliability, paired with AI-centric optimizations like pre-configured NGC containers. This duo outperforms generic clouds in regulated environments, delivering Hopper's FP8/INT8 prowess without compliance risks or infra management burdens.
Live Pricing
Real-time NVIDIA H100 SXM5 offers from Nebius
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Nebius | NVIDIA H100 SXM5 80GB VRAM | 80GB | 16 vCPU 200GB RAM | 🌍Europe | $2.15/GPU/hr | Sold Out | ||
Nebius | NVIDIA H100 SXM5 80GB VRAM | 80GB | 16 vCPU 200GB RAM | Finland | $3.85/GPU/hr | Available | ||
Nebius | NVIDIA H100 SXM5 80GB VRAM | 80GB | 16 vCPU 200GB RAM | Finland | $3.85/GPU/hr | Available | ||
Nebius | NVIDIA H100 SXM5 80GB VRAM | 80GB | 16 vCPU 200GB RAM | Finland | $3.85/GPU/hr | Available | ||
Nebius | NVIDIA H100 SXM5 80GB VRAM | 80GB | 16 vCPU 200GB RAM | Finland | $3.85/GPU/hr | Available |
Performance Notes
NVIDIA H100 SXM5 on Nebius leverages Hopper's 700W TDP for peak AI throughput: 4 petaFLOPS FP8, ideal for LLM fine-tuning. Expect strong multi-GPU scaling via NVLink (900GB/s bidirectional), though Nebius-specific topologies are not publicly detailed. Network bandwidth likely includes 400Gbps+ InfiniBand or RoCE for cluster-scale jobs; storage options feature NVMe SSDs for fast datasets. K8s enables efficient pod scheduling, but real-world benchmarks (e.g., MLPerf) vary by workload—public Nebius results limited. Honest caveat: inter-node perf depends on cluster config; test for your use case.
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
80GB
Architecture
Hopper
Tier
enterprise
Platform Features
Getting Started
Getting started with Nebius NVIDIA H100 SXM5 is streamlined via their managed Kubernetes platform. Sign up, provision GPU clusters, and deploy workloads with NVIDIA drivers pre-installed, focusing on your ML pipelines while Nebius handles compliance, scaling, and billing.
Steps
- 1Create a Nebius account and complete EU/US compliance verification.
- 2Launch a managed Kubernetes cluster specifying H100 SXM5 node pools.
- 3Configure per-second or spot billing in the console.
- 4Deploy GPU workloads using kubectl with NVIDIA device plugin YAML.
- 5Monitor performance and autoscaling via Nebius dashboard or Prometheus.
Pro Tips
- Leverage spot instances for non-critical training to cut costs by up to 70% without interrupting progress checkpoints.
- Use NVIDIA NGC containers for out-of-box H100 optimizations, reducing setup time for Hopper-specific features.
- Enable K8s cluster autoscaler to dynamically match GPU demand, optimizing for variable inference loads.
Frequently Asked Questions
What is Nebius's billing model for NVIDIA H100 SXM5?▾
Nebius bills per-second for GPU instances including NVIDIA H100 SXM5. 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 H100 SXM5?▾
Yes, Nebius offers spot/preemptible instances for NVIDIA H100 SXM5, 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 H100 SXM5?▾
Yes, Nebius offers reserved instance pricing for NVIDIA H100 SXM5, 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.