Rent NVIDIA Tesla P100 Cloud Instances
📊 Pricing at a Glance
NVIDIA Tesla P100 rental pricing ranges from $0.60/GPU/hr to $0.60/GPU/hr across 2 instances from 2 providers (updated June 2026).
Looking for a specific provider? See LeaderGPU NVIDIA Tesla P100, or Vast.ai NVIDIA Tesla P100.
Available Offers
Compare the top 5 cheapest offers from 2 providers.
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Technical Specifications
Strengths & Limitations
- Relatively low cost compared to newer GPUs ($0.07/hr)
- High memory bandwidth suitable for memory-intensive workloads
- Double-precision floating-point performance for scientific computing
- Established ecosystem and software support
- Older Pascal architecture lacks Tensor Cores for accelerated deep learning training
- Lower single-precision performance compared to newer GPUs
- Higher power consumption than newer GPUs
- Limited availability compared to newer GPUs
Top Use Cases
Suitable for scientific simulations, computational fluid dynamics, and other HPC workloads that benefit from high memory bandwidth and double-precision performance.
Can accelerate data processing and analysis tasks, particularly those involving large datasets that require high memory capacity.
Adequate for deploying pre-trained deep learning models for inference, especially when Tensor Core acceleration is not critical.
Real-World Benchmark
Market Analysis
The Tesla P100 occupies a niche market segment for users seeking cost-effective GPU acceleration for HPC and data analytics. While its deep learning training capabilities are limited compared to newer GPUs, its low price point makes it an attractive option for specific use cases. It is being superseded by newer, more efficient GPUs like the Tesla T4 and A10, but remains relevant for budget-conscious applications. The price reflects its age and relative performance compared to modern GPUs.
Frequently Asked Questions
Is the Tesla P100 suitable for deep learning training?â–¾
While it can be used for deep learning training, its lack of Tensor Cores makes it significantly slower than newer GPUs like the Tesla V100 or RTX series. Consider other options if deep learning training is a primary focus.
What are the key advantages of the Tesla P100?â–¾
Its key advantages are its relatively low cost, high memory bandwidth, and double-precision floating-point performance, making it suitable for HPC and data analytics workloads.
How does the Tesla P100 compare to the Tesla V100?â–¾
The Tesla V100 offers significantly higher performance, especially in deep learning, due to its Tensor Cores. However, the P100 is more cost-effective for workloads where Tensor Core acceleration is not critical.
Alternative GPUs
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