How much does the Nvidia V100 cost?

The Nvidia Tesla V100 remains a highly sought-after GPU in 2025, especially for AI, deep learning, and high-performance computing (HPC) workloads. Its pricing varies significantly depending on whether you are purchasing a new unit, a refurbished one, or opting for cloud-based rental services.

New Nvidia V100 Pricing

For those looking to buy a brand-new Nvidia Tesla V100, prices typically range from $8,000 to $11,000 USD per unit. This price depends on the specific configuration primarily the memory size, which comes in 16GB and 32GB HBM2 variants and the vendor. The 16GB model is generally more affordable, while the 32GB version commands a premium, sometimes exceeding $20,000 depending on the retailer and region. These prices reflect the V100�s enterprise-grade capabilities, including 5120 CUDA cores, 640 Tensor cores, and up to 15.7 teraFLOPS of single-precision performance, making it ideal for intensive AI model training and scientific computing.

Refurbished and Used Units

Refurbished or pre-owned Tesla V100 GPUs are available at lower prices, typically between $4,000 and $7,000 USD. These options are attractive for startups or research labs with tighter budgets but come with trade-offs such as shorter warranty periods and potentially reduced lifespan. Availability of refurbished units depends on data center hardware refresh cycles and reseller stock.

Cloud Rental Pricing

Instead of purchasing hardware outright, many organizations prefer renting Nvidia V100 GPUs through cloud providers to avoid large upfront costs and gain flexibility. Hourly rental prices vary by provider but generally start around $0.24 to $0.39 per hour for a single 16GB V100 instance. For example, Go4hosting offers competitive hourly rates that make it cost-effective for AI model training and inference tasks. Larger GPU clusters with multiple V100s can be rented at scaled prices, with costs increasing proportionally.

Factors Influencing Price

Several factors affect the Nvidia V100's cost in 2025:

• Supply and Demand: The V100 is an older generation GPU, and its price is influenced by the release and adoption of newer models like the Nvidia H100 and A100. As newer GPUs dominate the market, V100 prices tend to decline, especially for used units.

• Configuration: Memory size (16GB vs. 32GB) and vendor-specific warranties or support packages impact the price.

• Regional Variations: Import duties, taxes, and shipping costs can cause price differences across countries.

• Cloud vs. Ownership: Cloud rentals offer flexibility and lower upfront costs but may be more expensive over long-term use compared to buying hardware outright.

Comparison with Newer GPUs

While the Nvidia V100 remains a powerful GPU for many AI and HPC applications, it has been largely supplanted by newer models such as the Nvidia A100 and H100, which offer significantly higher performance but at a much higher price point (H100 starting around $25,000+). The V100 is still favored for cost-sensitive projects and workloads that do not require the absolute latest hardware.

Summary

• New Nvidia V100 price: $8,000 to $11,000 (16GB model), up to $20,000+ (32GB model)

• Refurbished price: $4,000 to $7,000

• Cloud rental: $0.24 to $0.39 per hour for single GPU instances

• Use cases: AI training, deep learning inference, HPC, scientific computing

• Advantages: Enterprise-grade performance, mature ecosystem, cost-effective for many workloads

• Considerations: Newer GPUs offer better performance but at higher costs

Choosing between buying a new or refurbished Nvidia V100 or renting it via cloud depends on your project duration, budget, and performance needs. For short-term or variable workloads, cloud rental offers flexibility and lower upfront investment. For long-term, continuous use, purchasing a new or refurbished V100 may be more cost-efficient.

In conclusion, the Nvidia Tesla V100 remains a valuable and cost-effective GPU option in 2025, especially for organizations balancing performance with budget constraints. Whether through direct purchase or cloud rental, it continues to power critical AI and HPC workloads worldwide

Was this answer helpful? 0 0