H100 SXM5 on TensorDock
Visit TensorDockTensorDock delivers the NVIDIA H100 SXM5, a premier Hopper architecture GPU with 80GB HBM3 VRAM, optimized for AI training, inference, and HPC workloads. This enterprise-tier offering excels in accelerated computing, featuring the Transformer Engine for FP8 precision and up to 4 petaFLOPS in sparse FP8 performance. TensorDock's marketplace model stands out with extremely low spot prices, stabilized by Voltage Park acquisition for reliable inventory. Ideal for cost-conscious ML engineers and data scientists scaling large language models or generative AI without enterprise budgets. Key value propositions include per-second billing, spot instances slashing costs by up to 80%, and flexible access to high-demand H100 capacity. This combination democratizes top-tier Hopper performance, balancing affordability with raw power for production-grade deployments.
Why NVIDIA H100 SXM5 on TensorDock?
Choose TensorDock for NVIDIA H100 SXM5 to access premium Hopper GPUs at rock-bottom spot prices unavailable from traditional providers. The marketplace model enables bidding on underutilized capacity, often 70-80% cheaper than on-demand rates, with Voltage Park acquisition ensuring inventory stability. Per-second billing optimizes costs for variable workloads, complementing the H100's efficiency in multi-precision compute. This setup suits bursty AI training or inference, where spot interruptions are manageable via checkpoints. Unlike rigid cloud giants, TensorDock's flexibility pairs perfectly with H100's scalability, offering enterprise performance without long-term commitments or high premiums.
Live Pricing
Real-time NVIDIA H100 SXM5 offers from TensorDock
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA H100 SXM5 80GB VRAM | 80GB | 0 vCPU 0GB RAM | Dallas, Texas | $1.99/GPU/hr | Sold Out | ||
TensorDock | NVIDIA H100 SXM5 80GB VRAM | 80GB | 0 vCPU 0GB RAM | Seattle, Washington | $1.99/GPU/hr | Sold Out |
Performance Notes
The H100 SXM5 on TensorDock delivers flagship Hopper performance: ~2 PFLOPS FP16 Tensor Core TFLOPS, 80GB HBM3 at 3.35 TB/s bandwidth, excelling in LLM training and inference. Expect strong multi-GPU scaling via NVLink (900 GB/s bidirectional). Provider-specific details like network bandwidth (likely 400-800 Gb/s InfiniBand) and storage (NVMe SSDs) vary by host; no public benchmarks available yet. Spot instances may face preemption, but per-second billing aids cost control. Performance matches data center standards, though exact configs depend on marketplace listings—verify instance specs pre-launch.
A GPU marketplace offering extremely low spot prices, stabilized by acquisition by Voltage Park.
Best For
Unique Features
- Marketplace model
- Stabilized inventory post-acquisition
VRAM
80GB
Architecture
Hopper
Tier
enterprise
Platform Features
Getting Started
Getting started with TensorDock's H100 SXM5 is straightforward via their intuitive marketplace dashboard. Create an account, fund your balance, browse spot listings for H100 instances, and launch with one-click templates for ML frameworks like PyTorch or TensorFlow. SSH or Jupyter access enables immediate workloads.
Steps
- 1Sign up for a TensorDock account and complete verification.
- 2Deposit funds via credit card or crypto for bidding.
- 3Search 'H100 SXM5' in the marketplace and filter by price/location.
- 4Select a spot instance, choose config (e.g., 8x GPU), and launch.
- 5Connect via SSH or web console; install drivers if needed.
Pro Tips
- Monitor spot price trends daily to bid during low-demand periods for maximum savings.
- Enable auto-checkpointing in your ML workflows to handle potential spot preemptions gracefully.
- Opt for multi-GPU instances with NVLink for optimal H100 scaling in distributed training.
Frequently Asked Questions
What is TensorDock's billing model for NVIDIA H100 SXM5?▾
TensorDock 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 TensorDock offer spot instances for NVIDIA H100 SXM5?▾
Yes, TensorDock 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.
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