Tesla V100 GPU Pricing Details

In the rapidly evolving fields of artificial intelligence (AI), high-performance computing (HPC), and data science, the NVIDIA Tesla V100 GPU has been a cornerstone for researchers and enterprises alike. Introduced in 2017, the V100, built on NVIDIA's Volta architecture, offers exceptional performance, making it a popular choice for intensive computational tasks. As of 2025, understanding the current pricing and availability of the Tesla V100 is crucial for organizations planning their infrastructure investments.​

Current Market Pricing

Purchase Options

The Tesla V100 GPU is available in two memory configurations: 16GB and 32GB. As of early 2025, the pricing for new units varies based on the retailer and specific model:​

16GB Model: Prices for new units start at approximately $1,020. 

32GB Model: Some retailers list this model at around $20,655, though prices can vary. 

It's important to note that these prices can fluctuate based on factors such as retailer, availability, and regional market differences.​

Cloud Rental Options

For organizations or individuals who require the capabilities of the Tesla V100 without the commitment of a full purchase, cloud-based rental options offer a flexible alternative. Several cloud service providers offer Tesla V100 GPUs on an hourly basis:​

Vast.ai: Offers rentals starting at $0.24 per hour. ​

Cudo Compute: Provides V100 instances from $0.23 per hour, with potential savings of up to 35% through commitment pricing. ​

DataCrunch.io: Lists V100 16GB instances at $0.39 per hour, with options for multiple GPUs. 

These cloud-based solutions are particularly advantageous for short-term projects or for scaling resources based on demand, allowing users to access high-performance cloud computing power without significant upfront investment.​

Factors Influencing Pricing

Several factors contribute to the pricing structure of the Tesla V100 GPU:

Technological Advancements: Since its release, newer GPU models like the NVIDIA A100 and H100 have entered the market, offering enhanced performance. This progression often leads to price adjustments for older models like the V100.​

Market Demand and Supply: The demand for GPUs in AI and HPC sectors remains high. Supply chain dynamics, including manufacturing capacities and component availability, can impact pricing.​

Cloud Service Competition: The increasing number of cloud service providers offering GPU rentals has fostered competitive pricing, benefiting consumers seeking flexible access to high-performance hardware.​

Conclusion

The NVIDIA Tesla V100 GPU continues to be a valuable asset for AI, HPC, and data science applications in 2025. With purchase prices starting around $1,020 for new units and various cloud rental options available at competitive hourly rates, organizations have multiple avenues to leverage this powerful GPU cloud hosting based on their specific needs and financial considerations. As the technological landscape evolves, staying informed about current pricing and deployment options ensures that investments align with both performance requirements and budget constraints.