Tesla P100 on Vast.ai
Visit Vast.aiVast.ai's NVIDIA Tesla P100 offering combines a proven enterprise GPU with the world's lowest-cost decentralized marketplace, ideal for cost-sensitive ML engineers and data scientists. The Pascal-based P100 features 16GB HBM2 VRAM, delivering strong FP16/FP32 performance for training mid-sized models, inference, and HPC tasks—up to 21 TFLOPS FP32 and 10.6 TFLOPS FP16. What makes this noteworthy: Vast.ai sources P100s from global peers at rock-bottom prices (often $0.20-$0.50/hr), enabling large-scale distributed experiments without breaking the bank. Target audience includes prototyping teams, academic researchers, and startups optimizing for $/perf via filters like DLPerf/$. Key value propositions: per-hour billing, spot instances for 70-90% discounts, granular search (e.g., by VRAM, DLPerf, uptime), and instant scalability. While dated compared to Ampere/Ada GPUs, the P100's reliability and Vast.ai's flexibility make it a smart choice for budget-driven workflows, hyperparameter sweeps, or legacy model fine-tuning.
Why NVIDIA Tesla P100 on Vast.ai?
Choose Vast.ai for NVIDIA Tesla P100 when absolute cost minimization is paramount. Vast.ai's peer-to-peer model aggregates thousands of underutilized data center P100s worldwide, driving prices 2-5x lower than traditional clouds ($0.20-$0.50/hr vs. $1-3/hr elsewhere). Spot instances amplify savings for interruptible jobs. This complements P100's strengths: its 16GB VRAM handles batch inference and older ML frameworks efficiently, while Vast.ai's DLPerf/$ filter optimizes for value. Decentralized infrastructure enables distributed training across cheap multi-GPU rigs without vendor lock-in. Ideal for experiments where perf-per-dollar trumps raw speed, avoiding overprovisioning on pricier modern GPUs.
Live Pricing
Real-time NVIDIA Tesla P100 offers from Vast.ai
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() Vast.ai | NVIDIA Tesla P100 16GB VRAM | 16GB | 32 vCPU 31GB RAM 773GB Storage | Thailand | $0.07/GPU/hr | Sold Out | ||
![]() Vast.ai | 4×NVIDIA Tesla P100 16GB VRAM | 16GB | 48 vCPU 252GB RAM 1163GB Storage | Missouri | $0.08/GPU/hr $0.32/hr total (4×) | Sold Out | ||
![]() Vast.ai | NVIDIA Tesla P100 16GB VRAM | 16GB | 24 vCPU 23GB RAM 689GB Storage | Texas | $0.09/GPU/hr | Available | ||
![]() Vast.ai | 2×NVIDIA Tesla P100 16GB VRAM | 16GB | 24 vCPU 46GB RAM 1378GB Storage | Texas | $0.09/GPU/hr $0.19/hr total (2×) | Available | ||
![]() Vast.ai | 2×NVIDIA Tesla P100 16GB VRAM | 16GB | 24 vCPU 46GB RAM 1364GB Storage | Texas | $0.09/GPU/hr $0.19/hr total (2×) | Sold Out |





Performance Notes
On Vast.ai, Tesla P100 delivers consistent ~18-21 TFLOPS FP32 and ~9-10 TFLOPS FP16, with DLPerf scores around 40-60 for ResNet50 (host-dependent). Expect variable network (1-10Gbps Ethernet, some InfiniBand), NVMe/SSD storage (100GB-2TB), and CPU pairings (Xeon, 16-64 cores). Multi-GPU scaling works well on 4-8x hosts via NVLink/SLI, but verify host specs. Performance is reliable for single-node training/inference, though decentralized nature means uptime/network varies—favor verified hosts with >99% reliability. No universal benchmarks; use Vast.ai's DLPerf for proxies. Solid for legacy TensorFlow/PyTorch, but FP64 shines in HPC over bleeding-edge ML.
A decentralized marketplace for absolute lowest costs and distributed experiments.
Best For
Unique Features
- Granular search filters like DLPerf/$
- Decentralized marketplace
VRAM
16GB
Architecture
Pascal
Tier
enterprise
Platform Features
Getting Started
Launching a Tesla P100 on Vast.ai is straightforward via its intuitive web interface. Sign up, search with advanced filters, deploy pre-built ML images, and scale instantly. Perfect for quick experiments with minimal setup.
Steps
- 1Create a free Vast.ai account and add a payment method (credit card or crypto).
- 2Search 'Tesla P100', filter by price, DLPerf/$, VRAM, or spot availability; sort by value.
- 3Select a host instance, choose Docker image (e.g., PyTorch 1.13, TensorFlow 2.x), set SSH key.
- 4Click 'Rent' ($/hr shown), confirm, and launch—instance ready in 1-2 minutes.
- 5Connect via SSH (details in dashboard) or JupyterLab for immediate ML workloads.
Pro Tips
- Prioritize spot instances for 70-90% savings; use auto-save checkpoints to handle evictions gracefully.
- Filter for 'verified' hosts with high DLPerf/$ and >99% uptime to minimize variability.
- Test multi-GPU scaling early; pair with Vast.ai's templates for distributed PyTorch runs.
Frequently Asked Questions
What is Vast.ai's billing model for NVIDIA Tesla P100?▾
Vast.ai bills per-hour for GPU instances including NVIDIA Tesla P100. 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 Tesla P100?▾
Yes, Vast.ai offers spot/preemptible instances for NVIDIA Tesla P100, 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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