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Item #:
57851701
NVIDIA Tesla V100 - GPU computing processor - Tesla V100 - 16 GB HBM2 - PCIe 3.0 x16 - fanless
Item #:
57851701
INR 71254
Price Details
Price
INR 71254
M.R.P. INR 75655
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6%
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Tesla V100 is the world's first GPU to break the 100 teraflops (TFLOPS) barrier of deep learning performance, dramatically reducing training time from weeks to days.
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Product Details
- NVIDIA Tesla V100 - GPU computing processor - Tesla V100 - 16 GB
| Graphics | NVIDIA Tesla V100 |
| Graphics processor | Tesla V100 |
| Ram memory | 16 GB |
| Brand | NVIDIA |
| Inputs/Outputs | PCI Express 3.0 x16 |
| In/Out type | PCI |
| Model name | NVIDIA Tesla V100 |
| Weight | 3 lb (1.36 kg) |
| Has written warranty | No |
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NVIDIA Graphics Cards Editorial Review
NVIDIA Tesla V100 - GPU computing processor - Tesla V100 - 16 GB HBM2 - PCIe 3.0 x16 - fanless is a powerful graphics card designed for high-performance computing tasks. Boasting 16 GB of HBM2 memory, it delivers exceptional processing capabilities, making it suitable for AI, deep learning, and data analytics. The PCI Express 3.0 x16 interface ensures high bandwidth, enabling efficient data transfer between the GPU and the system. Users appreciate its fanless design, which contributes to quieter operation and reduced energy consumption, making it an excellent choice for data centers. However, it should be noted that there is no warranty provided with this product, reinforcing its professional use case.
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Pros
- 16 GB HBM2 memory for superior performance
- PCIe 3.0 x16 for high-speed data
- Fanless design for quiet operation
- Ideal for AI and deep learning tasks
- Lightweight at just 3 lbs
Cons
- No warranty available for this product
Product Price History
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INR 71254
Order now and get it around Tuesday, October 13
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QTY:
Only 3 items left in stock.
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Features & Benefits
- Breaks the 100 TFLOPS barrier for deep learning performance.
- Reduces AI model training times from weeks to just days.
- Delivers 30X higher inference performance than traditional CPU servers.
- Combines AI with High Performance Computing for enhanced data analysis.
- By using NVLink, it connects multiple GPUs at speeds up to 300 GB/s.
- Enables researchers to affordably tackle complex AI challenges.
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