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Item #:
194792197
Tesla V100 32GB SXM2 GPU W/ Pcie Adapter & 6+2 Pin For AI Computing
Item #:
194792197
INR 123110
Price Details
Price
INR 123110
M.R.P. INR 123110
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from US
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Product Details
- GPU Name:GV100 Process Size:12 nm Bus Interface:PCIe 3.0 x16 Base Clock:1230 MHz Boost Clock:1380 MHz Memory Clock:876 MHz Slot Width:Dual-slot TDP:250 W Suggested PSU:600 W Power Connectors:2x 8-pin Memory Size:32 GB Memory Type:HBM2 Memory Bus:4096 bit DirectX:12 (12_1)
| Graphics | V100 |
| Graphics processor | V100 |
| Ram memory | 32 GB |
| Brand | ASPIRING |
| Height | 4 in (10.2 cm) |
| Model name | V100 |
| Weight | 1.3 lb (590 grams) |
| Accessories | VIDEO CARD |
Product Description
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Customer Questions & Answers
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Question:
What type of workloads is the Tesla V100 designed for?
Answer: It is optimized for artificial intelligence workloads, including deep learning and high-performance analytics. -
Question:
How much memory does the Tesla V100 have?
Answer: It boasts an impressive 32 GB HBM2 memory configuration. -
Question:
Is the Tesla V100 energy efficient?
Answer: Yes, it is engineered for exceptional power savings while maintaining top-tier performance.
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Paritosh
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“Quality, fit, and variety are all good. Very good quality, perfect fit, with a good variety in 70s Bellbottom jeans. Keep them coming.”
20-Jul-26 · via Trustpilot
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“Product is nice. Well packaged and delivered promptly”
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neeraj
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“Product was delivered before time. At each steps remider given time to time ,product is also good and fruitful”
3 July 2026 · via Trustpilot
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siva
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“I received the product properly packed and without any damage. If you can provide a video showing how to assemble the parts, it would be a great help. Thanks & Regards, Siva Prakash.”
16-Jul-26 · via Trustpilot
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INR 123110
Order now and get it around Monday, August 17
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QTY:
Only 12 items left in stock.
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Features & Benefits
- Optimized for AI workloads with high-precision performance.
- Versatile for deep learning, analytics, and more across various sectors.
- Features 32 GB HBM2 memory for handling large data sets effortlessly.
- Energy-efficient, lowering operational costs and carbon footprint.
- Supports scalable deployments with built-in NVLink for multi-GPU setups.
- Designed for enterprise-level solutions with exceptional throughput.
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