Rent NVIDIA Tesla V100 16GB Cloud Instances
📊 Pricing at a Glance
NVIDIA Tesla V100 16GB rental pricing ranges from $0.19/GPU/hr to $3.06/GPU/hr across 55 instances from 8 providers (updated June 2026).
Looking for a specific provider? See TensorDock NVIDIA Tesla V100 16GB, Ori NVIDIA Tesla V100 16GB, or Paperspace NVIDIA Tesla V100 16GB.
Available Offers
Compare the top 5 cheapest offers from 8 providers.
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Texas | $0.19/GPU/hr | Available | ||
![]() TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | New York City | $0.19/GPU/hr | Available | ||
![]() Ori | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 8 vCPU 45GB RAM 400GB Storage | Beauharnois | $0.83/GPU/hr | Available | ||
![]() Ori | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 8 vCPU 45GB RAM 300GB Storage | Lille | $0.83/GPU/hr | Available | ||
![]() Ori | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 8 vCPU 45GB RAM 400GB Storage | Lille | $0.83/GPU/hr | Available |

QuantaCloud
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Technical Specifications
Strengths & Limitations
- Excellent double-precision (FP64) performance for scientific computing.
- High memory bandwidth enables faster data processing.
- Tensor Cores accelerate deep learning training and inference.
- Mature and well-supported architecture with a wide range of software tools and libraries.
- Suitable for mixed-precision workloads.
- Lower single-precision (FP32) performance compared to newer architectures.
- Lower memory capacity compared to newer GPUs.
- Higher power consumption than newer, more efficient GPUs.
- Relatively higher cost compared to some newer generation cards with similar performance in certain workloads.
Top Use Cases
Accelerate the training of complex neural networks with Tensor Cores and high memory bandwidth. Ideal for research and development in AI.
Perform computationally intensive simulations and modeling in fields like weather forecasting, computational fluid dynamics, and molecular dynamics.
Process large datasets and perform complex data analysis tasks with high throughput.
Real-World Benchmark
Market Analysis
The NVIDIA Tesla V100 16GB, priced at $0.11/hr, remains a relevant option for users seeking a balance of performance and cost for AI and HPC workloads. While newer GPUs like the NVIDIA A100 and H100 offer superior performance, the V100 provides a cost-effective entry point for many applications. It competes with other mid-range GPUs, and its value proposition depends on the specific workload requirements. For example, the A100 PCIe 40GB at $0.13/hr offers better performance, but at a slightly higher cost. The V100 is a mature product with excellent software support, making it a stable choice for production environments.
Frequently Asked Questions
What is the primary advantage of the Tesla V100 16GB?â–¾
Its strong double-precision performance and high memory bandwidth make it well-suited for scientific computing and deep learning tasks.
Is the Tesla V100 16GB suitable for gaming?â–¾
No, the Tesla V100 is designed for data center workloads and lacks the display outputs and drivers optimized for gaming.
How does the Tesla V100 16GB compare to newer GPUs like the A100?â–¾
Newer GPUs like the A100 offer significantly higher performance and more features, but the V100 remains a cost-effective option for many workloads, especially where double-precision performance is critical.
Alternative GPUs
Journalists, bloggers, and researchers: You're welcome to cite our data in your articles with attribution. Our pricing database is updated in real-time from 8+ cloud providers.
