NVIDIA Tesla V100 sees price hike and demand rise for AI inference
NVIDIA’s Tesla V100 GPU is gaining popularity as a cost-effective option for running AI models locally. With 32GB of HBM2 memory, it is available in PCIe and SXM2 versions, catering to buyers who want to avoid the high prices of newer GPUs like the RTX 6000 PRO, which exceeded $16,000 in August. The V100 now carries a $200 premium over its previous price, but it remains significantly cheaper…
Key points
- NVIDIA Tesla V100 now costs $200 more due to AI demand and limited supply
- 32GB HBM2 memory supports running 27B-parameter models like Qwen3.6-27B
- PCIe and SXM2 versions available, with modded coolers for traditional motherboards
The GPU’s 900GB/s memory bandwidth makes it suitable for token generation and prompt processing. Benchmarks show a 230% performance improvement over M5 Ultra and dual-DGX Spark units when paired with NVLink boards. Users have also modified the SXM2 version to pair with RTX 4080 GPUs, enabling the running of 27B-parameter models like Qwen3.6-27B. The article highlights the GPU’s enduring relevance despite its age, though the price increase may deter some buyers.
The story so far
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NVIDIA’s Tesla V100 Picks Up In Popularity And Price Thanks To AI Boom, PCIe & SXM2 Versions With 32GB VRAM Available To Purchase, But At A $200 Premium
wccftech.com · 16 October 2026
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