H100 NVL on Vast.ai
Visit Vast.aiVast.ai's NVIDIA H100 NVL offering delivers enterprise-grade Hopper architecture GPUs with 94GB HBM3 VRAM to ML engineers seeking unparalleled cost efficiency for AI and HPC workloads. This decentralized marketplace stands out by aggregating global hosts, enabling access to H100 NVL instances—optimized for massive models like LLMs and multimodal AI—at rock-bottom prices, often under $2-3/hr on-demand and lower via spot. Noteworthy for its granular search filters, including DLPerf/$ (deep learning performance per dollar), it empowers precise selection of high-value machines. Target audience: budget-conscious data scientists, researchers, and startups prioritizing TCO over vendor lock-in. Key value propositions include per-hour billing, interruptible spot instances for 50-80% savings, seamless Docker/SSH deployment, and support for distributed experiments across 8x+ NVLink configurations. While host variability requires vetting, Vast.ai's transparency and lowest costs make it ideal for scalable, experimental workloads without compromising on H100 NVL's 3+ TFLOPS FP8 tensor core performance.
Why NVIDIA H100 NVL on Vast.ai?
Choose Vast.ai for NVIDIA H100 NVL to harness 94GB VRAM and NVLink interconnects at the industry's lowest costs via its peer-to-peer marketplace model. Unlike centralized clouds with fixed premiums, Vast.ai dynamically sources from thousands of hosts, yielding on-demand rates as low as $2/hr and spot instances under $1/hr—up to 70% cheaper. Granular filters like DLPerf/$, reliability scores, and NVLink topology ensure H100 NVL's bandwidth-heavy capabilities (900GB/s HBM3e) pair with optimal infrastructure. This combo excels for cost-optimized large-model training/inference, where spot bidding minimizes interruptions via auto-rentals. Decentralized nature complements H100 NVL's enterprise power for flexible, global-scale experiments without long-term commitments.
Live Pricing
Real-time NVIDIA H100 NVL offers from Vast.ai
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA H100 NVL 94GB VRAM | 94GB | 40 vCPU 314GB RAM 44GB Storage | Virginia | $0.27/GPU/hr | Sold Out | ||
Vast.ai | 2×NVIDIA H100 NVL 94GB VRAM | 94GB | 80 vCPU 630GB RAM 29331GB Storage | Arizona | $0.47/GPU/hr $0.93/hr total (2×) | Sold Out | ||
Vast.ai | NVIDIA H100 NVL 94GB VRAM | 94GB | 80 vCPU 315GB RAM 14528GB Storage | Germany | $0.53/GPU/hr | Sold Out | ||
Vast.ai | NVIDIA H100 NVL 94GB VRAM | 94GB | 40 vCPU 315GB RAM 3217GB Storage | India | $1.20/GPU/hr | Sold Out | ||
Vast.ai | NVIDIA H100 NVL 94GB VRAM | 94GB | 192 vCPU 336GB RAM 244GB Storage | South Korea | $1.20/GPU/hr | Sold Out |
Performance Notes
On Vast.ai, H100 NVL delivers Hopper's full potential: ~4PFLOPS FP8 AI perf, 94GB VRAM for 70B+ parameter models. Expect 100-400Gbps NVLink in multi-GPU (4-8x) setups, but varies by host—filter for 'NVLink' and peer reviews. Network: typically 10-100Gbps Ethernet; use filters for 100Gbps+ to minimize distributed training bottlenecks. Storage: host-provided NVMe SSDs (1-10TB), with Vast.ai's root volumes for persistence. DLPerf benchmarks (ResNet50, etc.) guide expectations, often matching datacenter levels on vetted machines. Variability is inherent to decentralization—unknowns include exact interconnect consistency; test with short rentals. Multi-GPU scaling excels via NCCL, but verify host MIG/NVLink support.
A decentralized marketplace for absolute lowest costs and distributed experiments.
Best For
Unique Features
- Granular search filters like DLPerf/$
- Decentralized marketplace
VRAM
94GB
Architecture
Hopper
Tier
enterprise
Platform Features
Getting Started
Getting started with NVIDIA H100 NVL on Vast.ai is straightforward via its intuitive web interface. Sign up, search the marketplace for H100 NVL instances, apply filters for price/performance, and launch Docker-based VMs with SSH access in minutes. Ideal for quick prototyping to production-scale AI jobs.
Steps
- 1Create a free Vast.ai account and add payment method for per-hour billing.
- 2Search for 'H100 NVL', filter by DLPerf/$, price, NVLink count, and reliability >95%.
- 3Select a machine, choose on-demand or interruptible (spot) pricing, and configure image (e.g., PyTorch NGC).
- 4Rent and launch via one-click; access via SSH or Jupyter with your private key.
- 5Monitor usage in dashboard; stop/release when done to avoid charges.
Pro Tips
- Prioritize spot instances for 50-80% savings on non-urgent jobs; set max price and auto-rentals to minimize downtime.
- Use DLPerf/$ and benchmark scores to select hosts; run short tests (e.g., MLPerf) before scaling multi-GPU training.
- Leverage Vast.ai's API for automation and templates to streamline distributed experiments across H100 NVL clusters.
Frequently Asked Questions
What is Vast.ai's billing model for NVIDIA H100 NVL?▾
Vast.ai bills per-hour for GPU instances including NVIDIA H100 NVL. Hourly billing means you pay for full hours even if your job completes mid-hour. Plan your workloads accordingly to maximize cost efficiency.
Does Vast.ai offer spot instances for NVIDIA H100 NVL?▾
Yes, Vast.ai offers spot/preemptible instances for NVIDIA H100 NVL, 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.
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