Tesla K40 Gpu
Overview
Product sourcing insights & recommendations
The Tesla K40 GPU, once a flagship of the NVIDIA Kepler architecture, has transitioned into a niche "utility" role in the 2026 hardware market. While no longer at the cutting edge of AI or supercomputing, it remains a valuable co-processor for budget-constrained scientific simulations due to its 12GB GDDR5 VRAM and robust Double Precision (FP64) performance ratio (1:3) MicrowayTechpowerup.
Market Trends & Pricing (2026)
The market for the Tesla K40 is currently dominated by refurbished and secondary-market supply. Despite the surge in 2026 GPU prices driven by AI memory shortages (where high-end cards like the RTX 5090 reached $5,000+), legacy Tesla cards have maintained relatively stable, low prices, making them attractive for high-VRAM, low-compute hobbyist or educational tasks Tech-InsiderGpunex.
Key sourcing insights from verified B2B suppliers:
- Availability: Readily available from specialized electronics and server hardware suppliers in regions like Shenzhen and Hong Kong AlibabaAlibaba.
- Sourcing Strategy: Bulk orders are common for legacy high-performance computing (HPC) clusters that require consistent hardware for older software environments.
- Market Positioning: It is positioned strictly as a budget enterprise card, far below the performance of modern H100 or B200 accelerators, but offering high memory capacity at a fraction of the cost Techpowerup.
Technical Insights & Use Cases
| Feature | Specification | 2026 Market Context |
|---|---|---|
| Memory | 12GB GDDR5 | Sufficient for legacy scientific datasets and lightweight VM acceleration Techpowerup. |
| Architecture | Kepler (GK180) | Driver support has officially ended, restricting its use to legacy software stacks Techpowerup. |
| FP64 Performance | ~1.43–1.68 TFLOPS | Exceptional for its price point; modern consumer cards are often "crippled" to a 1:32 or 1:64 FP64 ratio Microway. |
| Efficiency | 245W TDP | Considered inefficient by 2026 standards; best suited for environments with low energy costs Techpowerup. |
Primary 2026 Applications:
- Legacy Scientific Clusters: Running fluid dynamics or structural analysis codes that rely on native FP64 throughput Microway.
- CUDA Education: A cost-effective tool for teaching parallel computing on a hardware buffer larger than most budget consumer cards Techpowerup.
- Home Lab / Transcoding: Serving as a dedicated resource for video transcoding or virtualized server environments Reddit.
For detailed supplier information and active B2B listings, please refer to the sourcing file provided.
Based on these insights, you can continue with:
Tesla K40 Gpu 12gb Gddr5
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Sources & References
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