Tesla V100 16GB on Vast.ai
Visit Vast.aiVast.ai's NVIDIA Tesla V100 16GB offering delivers enterprise-grade Volta architecture GPUs through a decentralized marketplace, enabling ML engineers to access 16GB HBM2 VRAM, 5120 CUDA cores, and tensor cores for AI training, inference, and HPC at the lowest market rates. This combination stands out for its cost efficiency—often 50-80% below major clouds—via direct host connections and spot instances, ideal for cost-sensitive teams running deep learning experiments or distributed workloads. Key value propositions include granular filters like DLPerf per dollar, per-hour billing, and vast inventory for high availability. Target audience: ML practitioners prioritizing performance-per-dollar over premium support, with verified hosts ensuring reliability. While host variability requires careful selection, Vast.ai empowers scalable V100 deployments for ResNet-scale training or fine-tuning LLMs, balancing power and economy effectively.
Why NVIDIA Tesla V100 16GB on Vast.ai?
Vast.ai paired with NVIDIA Tesla V100 16GB excels for users chasing absolute lowest costs on proven DL hardware. The decentralized model sources idle datacenter V100s globally, driving prices as low as $0.20-0.50/hr versus $2-3/hr on hyperscalers, amplified by spot instances for interruptible savings. V100's 125 TFLOPS FP16 tensor performance shines in Vast.ai's ML-optimized ecosystem, with filters for DLPerf/$, NVMe storage, and multi-GPU support via NCCL. This combo suits experiment-heavy workflows, offering Docker templates for PyTorch/TensorFlow and API automation, uniquely complementing V100's enterprise capabilities with peer-to-peer flexibility and no egress fees.
Live Pricing
Real-time NVIDIA Tesla V100 16GB offers from Vast.ai
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 80 vCPU 31GB RAM 81GB Storage | Washington | $0.02/GPU/hr | Sold Out | ||
Vast.ai | 4×NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 80 vCPU 126GB RAM 255GB Storage | Washington | $0.02/GPU/hr $0.07/hr total (4×) | Sold Out | ||
Vast.ai | 8×NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 80 vCPU 189GB RAM 569GB Storage | Washington | $0.02/GPU/hr $0.14/hr total (8×) | Sold Out | ||
Vast.ai | 8×NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 80 vCPU 251GB RAM 638GB Storage | Washington | $0.02/GPU/hr $0.14/hr total (8×) | Sold Out | ||
Vast.ai | 8×NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 80 vCPU 252GB RAM 546GB Storage | Washington | $0.02/GPU/hr $0.14/hr total (8×) | Sold Out |
Performance Notes
NVIDIA Tesla V100 16GB on Vast.ai matches datacenter benchmarks: 15.7 TFLOPS FP32, 125 TFLOPS FP16 tensor, excelling in mixed-precision training. Host-dependent factors include 1-10Gbps network (adequate for single-node, limits large DDP), NVMe/HDD storage (check IOPS for datasets), and PCIe 3.0 multi-GPU scaling (~80-95% efficiency in 2-8x setups). DLPerf scores on listings predict ML throughput (e.g., ResNet-50 ~200 img/s). Strengths: consistent single-GPU perf; unknowns: exact CPU pairings (often Xeon, 16-64 cores). Spot interruptions possible; prioritize verified hosts with benchmarks for reliable expectations.
A decentralized marketplace for absolute lowest costs and distributed experiments.
Best For
Unique Features
- Granular search filters like DLPerf/$
- Decentralized marketplace
VRAM
16GB
Architecture
Volta
Tier
enterprise
Platform Features
Getting Started
Launching NVIDIA Tesla V100 16GB on Vast.ai is user-friendly for ML workflows. Sign up, search the marketplace with precise filters, select verified hosts, and deploy via one-click Docker/Jupyter templates. Instances boot in minutes with SSH/web access, supporting PyTorch, TensorFlow, or custom envs for immediate training.
Steps
- 1Create free Vast.ai account and add credit card or crypto payment.
- 2Search 'Tesla V100 16GB'; filter by price, DLPerf/$, RAM >=32GB, uptime >99%.
- 3Review host details (storage speed, CPU, reviews); select ML image like PyTorch.
- 4Configure SSH key, ports; choose on-demand or spot; click 'Rent Now'.
- 5Connect via SSH or browser console; run `nvidia-smi` to verify GPU.
Pro Tips
- Sort by DLPerf/$ for optimal ML perf-to-cost; test short rentals to benchmark hosts.
- Use spot instances for fault-tolerant jobs like hyperparam search to cut costs 70-90%.
- Enable auto-scale via API for distributed training; save templates for repeat setups.
Frequently Asked Questions
What is Vast.ai's billing model for NVIDIA Tesla V100 16GB?▾
Vast.ai bills per-hour for GPU instances including NVIDIA Tesla V100 16GB. 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 V100 16GB?▾
Yes, Vast.ai offers spot/preemptible instances for NVIDIA Tesla V100 16GB, 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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