Rent V100 32GB
per GPU-hour
📊 Pricing at a Glance
V100 32GB on-demand pricing, in stock right now, ranges from $0.95/GPU/hr to $2.30/GPU/hr across 49 offers from 2 providers with live stock tracking (updated October 2026). A further 13 tracked listings are shown below as listed / last-seen pricing.
Looking for a specific provider? See AWS V100 32GB.
Available Offers
The 5 cheapest on-demand offers reported in stock right now, from 2 providers with live stock tracking.
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Ori | 2×NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 30 vCPU 90GB RAM 500GB Storage | Beauharnois | $0.95/GPU/hr $1.90/hr total (2×) | Available | ||
Ori | 2×NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 30 vCPU 90GB RAM 800GB Storage | Lille | $0.95/GPU/hr $1.90/hr total (2×) | Available | ||
Ori | 2×NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 30 vCPU 90GB RAM 800GB Storage | Warsaw | $0.95/GPU/hr $1.90/hr total (2×) | Available | ||
Ori | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 15 vCPU 45GB RAM 400GB Storage | Frankfurt | $0.95/GPU/hr | Available | ||
Ori | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 15 vCPU 45GB RAM 400GB Storage | Warsaw | $0.95/GPU/hr | Available |
Other Tracked Listings (Last-Seen Pricing)
13 further listings GPUPerHour tracks for this GPU. These catalog rows do not qualify as current secure on-demand offers; stock observations may be missing or old. They are not confirmed in stock; check availability with the provider.
| Provider | Listed per GPU / hr | Pricing type | Availability |
|---|---|---|---|
| TensorDock | $0.29 | on-demand | Check provider |
| TensorDock | $0.29 | on-demand | Check provider |
| RunPod | $0.49 | on-demand | Check provider |
| Ori | $0.95 | on-demand | Check provider |
| Ori | $0.95 | on-demand | Check provider |
| Ori | $0.95 | on-demand | Check provider |
| Paperspace | $2.30 | on-demand | Check provider |
| Paperspace | $2.30 | on-demand | Check provider |
| Paperspace | $2.30 | on-demand | Check provider |
| Paperspace | $2.30 | on-demand | Check provider |
V100 32GB Availability Now
2 providers report V100 32GB in stock on-demand right now (49 offers across 9 regions). Last stock observation: .
| Region | Cheapest $/GPU-hr | Provider | Offers in stock |
|---|---|---|---|
| beauharnois | $0.95 | Ori | 6 |
| lille-4 | $0.95 | Ori | 5 |
| warsaw | $0.95 | Ori | 6 |
| frankfurt | $0.95 | Ori | 6 |
| lille-1 | $0.95 | Ori | 6 |
The 5 cheapest of 9 regions with stock. Regions are as the providers name them. Prices on this page were observed on (UTC) and are quoted for that day; they are rechecked every minute and can change before booking.
V100 32GB Price History (daily)
Over the last 14 days the cheapest on-demand V100 32GB was $0.95 per GPU-hour across up to 2 providers with stock.
| Date (UTC) | Cheapest $/GPU-hr | Median $/GPU-hr | Offers in stock | Providers with stock |
|---|---|---|---|---|
| $0.95 | $0.95 | 49 | 2 | |
| $0.95 | $0.95 | 49 | 2 | |
| $0.95 | $0.95 | 49 | 2 | |
| $0.95 | $0.95 | 49 | 2 | |
| $0.95 | $0.95 | 49 | 2 | |
| $0.95 | $0.95 | 49 | 2 | |
| $0.95 | $0.95 | 49 | 2 | |
| $0.95 | $0.95 | 51 | 2 | |
| $0.95 | $0.95 | 51 | 2 | |
| $0.95 | $0.95 | 50 | 2 | |
| $0.95 | $0.95 | 49 | 2 | |
| $0.95 | $0.95 | 49 | 2 | |
| $0.95 | $0.95 | 49 | 2 | |
| $0.95 | $0.95 | 48 | 2 |
One row per captured day (00:05 UTC). Cheapest is the lowest secure on-demand price per GPU-hour reported in stock by a provider with live stock tracking; median is the median of those offers. Days without a capture are not shown. Method and full series: Cloud GPU Price Index.
V100 32GB Price by Provider
Cheapest on-demand offer per provider that is reported in stock right now. Prices are per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site.
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| Ori | beauharnois | 2 | $0.95 | $1.90 | Deploy this GPU |
| Paperspace | ny2 | 4 | $2.30 | $9.20 | Deploy this GPU |
Notify me when V100 32GB drops below a price
One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $0.95/GPU-hr.
V100 32GB Catalog Listing History (30 days)
Catalog listings, not live prices.
These averages are of every tracked catalog listing, including spot, reserved, out-of-stock and older rows. They do not measure live on-demand prices or availability (the daily price history table above does that) and cannot establish savings against the current offers. Each day averages its recorded catalog snapshots; the median gives each day equal weight. Missing days are excluded.
| Lowest daily catalog average | $1.12/GPU/hr |
|---|---|
| Median of daily catalog averages | $1.12/GPU/hr |
| Days with recorded catalog prices | 30 of 30 |
| Latest catalog snapshot | October 19, 2026 |
QuantaCloud
Need GPUs at scale?
Building out an inference fleet or training cluster? QuantaCloud brokers reserved capacity across multiple data center partners. 16+ GPUs, flexible terms, custom quote in 24 hours.
Technical Specifications
Strengths & Limitations
- Large 32GB HBM2 memory capacity allows for processing larger datasets and more complex models.
- Excellent double-precision (FP64) performance suitable for scientific computing.
- Tensor Cores accelerate deep learning training and inference.
- High memory bandwidth reduces data transfer bottlenecks.
- Mature and well-supported architecture.
- Higher cost compared to consumer-grade GPUs.
- Lower single-precision (FP32) performance compared to newer generation GPUs like the NVIDIA RTX 3080 ($0.05/hr).
- Power consumption can be significant.
- HBM2 memory, while fast, is more expensive than GDDR6.
- Lacks support for newer features like sparsity acceleration found in Ampere and later architectures.
Top Use Cases
Training large and complex deep learning models, especially those requiring significant memory capacity, such as large language models or high-resolution image processing models.
Accelerating scientific simulations and computations in fields like fluid dynamics, molecular dynamics, and weather forecasting.
Processing and analyzing large datasets in fields like finance, genomics, and marketing.
Real-World Benchmark
Market Analysis
Generated market commentary, not current pricing. Live prices and stock are in the sections above.
The NVIDIA Tesla V100 32GB remains a viable option for users needing substantial memory capacity for their workloads. It's important to consider the overall cost-performance ratio compared to newer alternatives, especially if the workload is not heavily memory-bound. The availability of newer GPUs has driven down the relative value of the V100.
Frequently Asked Questions
What is the difference between the Tesla V100 16GB and 32GB?â–¾
The primary difference is the memory capacity. The 32GB version can handle larger datasets and more complex models that exceed the 16GB limit of the smaller version. Both have the same core architecture and number of CUDA and Tensor cores.
Is the Tesla V100 32GB suitable for gaming?â–¾
No. The Tesla V100 is designed for data center and HPC workloads, not gaming. It lacks the display outputs and drivers optimized for gaming performance. Consumer-grade GPUs like the GeForce RTX series are much better suited for gaming.
What kind of power supply is required for the Tesla V100 32GB?â–¾
The Tesla V100 typically requires a high-wattage power supply, often 750W or greater, depending on the overall system configuration. Refer to the manufacturer's specifications for the recommended power supply requirements.
Alternative GPUs
Journalists, bloggers, and researchers: You're welcome to cite our data in your articles with attribution. Our pricing database is checked periodically from 5 cloud providers tracking this GPU.