H100 SXM5 on Crusoe
Visit CrusoeCrusoe delivers the NVIDIA H100 SXM5, a flagship Hopper architecture GPU with 80GB HBM3 VRAM, optimized for demanding AI training, inference, and HPC workloads. This enterprise-tier offering stands out through Crusoe's climate-aligned infrastructure, harnessing stranded natural gas and renewable sources to power high-performance computing with a dramatically reduced carbon footprint—up to 90% lower than traditional grids. Ideal for organizations prioritizing ESG compliance alongside peak performance, it's particularly suited for large-scale batch training where sustainability metrics matter. Key value propositions include per-hour billing with spot instances for cost efficiency, vertical integration from energy to cloud for reliability, and seamless scalability. ML engineers benefit from the H100's 4x faster inference over A100s, Transformer Engine for FP8 precision, and Confidential Computing support, all within an eco-conscious platform that aligns technical excellence with environmental responsibility. (172 words)
Why NVIDIA H100 SXM5 on Crusoe?
Choosing Crusoe for NVIDIA H100 SXM5 combines cutting-edge GPU performance with unparalleled sustainability. Crusoe's use of flared and stranded energy minimizes emissions, appealing to ESG-focused enterprises without sacrificing power—H100's 700W TDP is efficiently managed via their vertically integrated model. Spot instances enable up to 70-90% savings on interruptible workloads like batch training, complementing the GPU's strengths in large-model fine-tuning. Reliable uptime from purpose-built data centers ensures consistent scaling, while per-hour billing avoids long-term commitments. This duo excels for teams needing H100's Hopper innovations (e.g., FP8/INT8 acceleration) in a low-carbon environment, differentiating from hyperscalers with higher environmental impact. (112 words)
Live Pricing
Real-time NVIDIA H100 SXM5 offers from Crusoe
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Crusoe | NVIDIA H100 SXM5 80GB VRAM | 80GB | 0 vCPU 0GB RAM | United States | $1.60/GPU/hr | |||
Crusoe | NVIDIA H100 SXM5 80GB VRAM | 80GB | 0 vCPU 0GB RAM | United States | $6.30/GPU/hr |
Performance Notes
On Crusoe, expect NVIDIA H100 SXM5 to deliver benchmark H100 performance: up to 4x faster than A100 in MLPerf training (e.g., 2.3 exaFLOPS FP8) and superior multi-GPU scaling via NVLink (900 GB/s bidirectional). Crusoe's infrastructure supports high-bandwidth networking (likely 400-800 Gb/s InfiniBand/RoCE), enabling efficient DGX-like clusters for distributed training. Storage options include high-IOPS NVMe SSDs for datasets. Multi-GPU configs scale to 8+ GPUs per node. Specific benchmarks are provider-limited; real-world throughput depends on workload optimization. Power efficiency shines with Crusoe's energy model, but monitor for spot preemptions in cost-sensitive runs. (102 words)
A climate-aligned computing provider powering high-performance computing using stranded energy sources to mitigate environmental impact.
Best For
Unique Features
- Vertically integrated energy-to-cloud model
- Use of stranded energy sources
VRAM
80GB
Architecture
Hopper
Tier
enterprise
Platform Features
Getting Started
Launching NVIDIA H100 SXM5 on Crusoe is straightforward via their self-service cloud console. Sign up for an account, select GPU instances with spot or on-demand pricing, and deploy pre-configured images for ML frameworks like PyTorch or TensorFlow. Access via SSH/Jupyter, with autoscaling for workloads. Ideal for quick prototyping to production-scale training. (68 words)
Steps
- 1Create a Crusoe Cloud account at cloud.crusoe.ai and complete payment setup.
- 2Navigate to 'Instances' > 'Create' and select H100 SXM5 configurations (e.g., 8x GPU nodes).
- 3Choose Ubuntu/CentOS image, configure storage/network, and opt for spot/on-demand billing.
- 4Launch instance; SSH in using provided key and install NVIDIA drivers/CUDA via NGC.
- 5Run workloads with Docker/NVIDIA Container Toolkit for optimized performance.
Pro Tips
- Leverage spot instances for batch jobs to cut costs by 70-90%, but implement checkpointing for preemptions.
- Use Crusoe's carbon tracking dashboard to quantify ESG impact and report to stakeholders.
- Pair with NVIDIA NGC containers for instant H100-optimized frameworks, accelerating setup by hours.
Frequently Asked Questions
What is Crusoe's billing model for NVIDIA H100 SXM5?▾
Crusoe bills per-hour for GPU instances including NVIDIA H100 SXM5. Hourly billing means you pay for full hours even if your job completes mid-hour. Plan your workloads accordingly to maximize cost efficiency.
Does Crusoe offer spot instances for NVIDIA H100 SXM5?▾
Yes, Crusoe 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 Crusoe offer reserved instances for NVIDIA H100 SXM5?▾
Yes, Crusoe 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 Crusoe for current reserved pricing and commitment terms.
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