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The Nvidia Tesla V100 has been a dominant force in AI, deep learning, and cloud-based GPU computing since its release. Even as newer GPUs like the A100, H100, and H200 take center stage, the V100 remains relevant due to its powerful tensor cores, high memory bandwidth, and strong support for AI training and inference.
As 2025 unfolds, businesses, AI researchers, and cloud users are looking at Tesla V100 pricing to determine whether it's still a viable option for high-performance computing. Whether you're considering buying a Tesla V100 for an on-premise setup or leveraging cloud-based GPU hosting from Cyfuture Cloud, understanding the 2025 pricing landscape is crucial.
Before diving into costs, let’s refresh on what makes the Tesla V100 a sought-after GPU:
CUDA Cores: 5,120
Tensor Cores: 640
Memory: 16GB / 32GB HBM2
Memory Bandwidth: 900GB/s
TDP (Power Consumption): 250W
Primary Use Cases: AI model training, machine learning, deep learning inference, HPC workloads
While Nvidia has since introduced more powerful models, the V100 is still widely used in cloud hosting environments and AI labs, especially where cost efficiency is a priority.
The price of the Tesla V100 in 2025 depends on whether you're buying a brand-new unit, a refurbished GPU, or renting via a cloud hosting provider.
For businesses looking to buy and own a Tesla V100, here’s what you can expect:
Condition |
Estimated Price (2025) |
Brand-New Tesla V100 (32GB HBM2) |
$7,000 - $12,000 |
Brand-New Tesla V100 (16GB HBM2) |
$5,000 - $8,000 |
Refurbished Tesla V100 (32GB HBM2) |
$3,500 - $6,000 |
Refurbished Tesla V100 (16GB HBM2) |
$2,500 - $5,000 |
New V100 GPUs remain expensive due to limited availability and high demand in niche markets.
Refurbished V100 GPUs are more affordable, but availability depends on data center upgrades and reseller stock.
As newer GPUs like the H100 and H200 dominate the market, Tesla V100 prices may continue to drop, making used or refurbished units a cost-effective choice for certain AI applications.
Many businesses prefer cloud-based GPU hosting instead of investing in expensive hardware. Here’s how Tesla V100 rental pricing compares across leading cloud hosting providers like Cyfuture Cloud, AWS, Google Cloud, and Microsoft Azure:
Cloud Provider |
Tesla V100 (Per Hour) |
Tesla V100 (Per Month) |
Cyfuture Cloud |
$2.50 - $4.50 |
$1,500 - $3,500 |
AWS (EC2 Instances) |
$3.00 - $5.50 |
$1,800 - $4,000 |
Google Cloud (G2 Instances) |
$3.20 - $5.00 |
$2,000 - $4,200 |
Microsoft Azure |
$3.10 - $5.20 |
$1,900 - $4,100 |
Cloud hosting eliminates upfront costs, making it an attractive option for AI workloads with variable processing needs.
Cyfuture Cloud offers competitive pricing, making it one of the best choices for cost-effective AI model training and inference.
Hourly pricing is ideal for short-term projects, while monthly reserved instances provide better value for long-term AI applications.
AI and cloud computing growth continue to drive GPU demand.
While newer GPUs dominate, V100 demand persists in research labs, AI startups, and cost-sensitive enterprises.
Used and refurbished Tesla V100 units are becoming more popular as budget-friendly alternatives to the A100 and H100.
The A100, H100, and H200 GPUs are pushing older models like the V100 out of mainstream cloud deployments.
As data centers upgrade, more V100 GPUs enter the secondary market, potentially lowering prices further.
Cloud GPU hosting remains a cost-effective alternative to buying hardware.
As cloud computing becomes the norm, prices for on-premise V100s may decline while cloud GPU hosting sees more competitive pricing.
Cyfuture Cloud and other hosting providers are optimizing pricing to attract AI-driven businesses.
Factor |
Buying Tesla V100 |
Cloud Hosting Tesla V100 |
Upfront Cost |
$5,000 - $12,000 |
No upfront cost |
Maintenance & Power Costs |
High |
Managed by provider |
Scalability |
Limited |
Scale up or down as needed |
Flexibility |
Fixed infrastructure |
Pay-as-you-go or reserved pricing |
Best For |
Long-term AI training |
Short-term or dynamic AI workloads |
If you need Tesla V100 for continuous AI training, buying might make sense.
If your workload is unpredictable, cloud hosting is the better choice.
Compare Prices from Multiple Vendors – Authorized Nvidia resellers, cloud providers, and refurbished marketplaces offer different pricing.
Look for Bulk Discounts – Enterprise customers may find bulk discounts on Cyfuture Cloud’s hosting services.
Consider Cloud GPU Hosting – Instead of spending thousands on hardware, renting Tesla V100 GPUs from Cyfuture Cloud can reduce operational costs.
Use Reserved Cloud Instances – Committing to long-term cloud GPU hosting can provide significant discounts compared to hourly pricing.
Watch for Promotions & Free Credits – Some cloud providers offer incentives for new customers, reducing the cost of AI model training.
The Tesla V100 remains a valuable GPU in 2025, but its price depends on new vs. used availability, cloud hosting costs, and market demand. While buying a Tesla V100 costs anywhere from $5,000 to $12,000, cloud-based GPU hosting from Cyfuture Cloud offers a cost-effective and flexible alternative for businesses needing AI compute power without upfront investments.
For most AI-driven applications hosting , cloud GPU hosting is the smarter choice, offering scalability, lower maintenance, and optimized pricing for AI workloads. Whether you choose to buy or rent, understanding Tesla V100 pricing trends in 2025 helps you make an informed decision for AI training, inference, and cloud-based high-performance computing.
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