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The V100 is a professional data centre-grade GPU engineered to deliver reliable, sustained high-load computing within server environments.
SXM2 V100 Acceleration Card 16GB VRAM Tensor Cores and High-load HBM2 Memory Massive Bandwidth for Data Handling Video Driver Card
€ 306
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from UK
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The V100 is a professional data centre-grade GPU engineered to deliver reliable, sustained high-load computing within server environments.
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What Stands Out
Product Details
| Item Weight | 2.95 lbs (1.34 kg) |
Who Should Buy?
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AI Researchers
Perfect for AI researchers leveraging GPU power for training advanced models and algorithms efficiently.
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Data Scientists
Ideal for data scientists handling large data sets and performing complex computations smoothly with high bandwidth.
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Game Developers
Beneficial for game developers requiring robust GPU resources for rendering graphics and managing high-load applications.
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Casual Gamers
Overkill for casual gamers who don’t require extensive GPU capabilities for regular gaming experiences.
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Budget Users
Not suitable for users on a tight budget as this card represents a significant financial investment.
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Home Users
Excessive for home users with basic computing needs who do not utilize advanced GPU functionalities.
Product Description
SXM2 V100 Acceleration Card 16GB VRAM Tensor Cores and High-load HBM2 Memory Massive Bandwidth for Data Handling Video Driver Card
Customer Questions & Answers
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Question:
What is the maximum performance of the SXM2 V100?
Answer: The SXM2 V100 can achieve up to 125 TFLOPS for deep learning inference. -
Question:
What type of memory does the V100 use?
Answer: The V100 uses 16GB of HBM2 high-bandwidth memory for enhancing data handling capabilities. -
Question:
Is the V100 suitable for data center environments?
Answer: Yes, the V100 is specifically engineered for reliable and sustained high-load computing in server environments.
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“The process was smooth, with clear communication and timelines. This was my 1st purchase and I am really impressed. I will definitely be coming back.”
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Important information
- Limitations : For products shipped internationally, please note that any manufacturer warranty may not be valid; manufacturer service options may not be available; product manuals, instructions, and safety warnings may not be in destination country languages; the products (and accompanying materials) may not be designed in accordance with destination country standards, specifications, and labeling requirements; and the products may not conform to destination country voltage and other electrical standards (requiring use of an adapter or converter if appropriate). The recipient is responsible for assuring that the product can be lawfully imported to the destination country. When ordering from Ubuy or its affiliates, the recipient is the importer of record and must comply with all laws and regulations of the destination country.
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€ 306
This product is not Fulfilled by Ubuy and can take minimum 10 days in delivery. We might cancel the product from the order and refund you if any issue arise with the delivery of this product.
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
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Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Features & Benefits
- Groundbreaking Volta architecture with dedicated tensor cores.
- Achieves up to 125 TFLOPS for deep learning inference.
- 16GB of high-bandwidth HBM2 memory for massive data handling.
- Direct board-to-board SXM2 connection for stable power delivery.
- Features robust traditional cores, up to 7.5 TFLOPS double-precision.
- Optimized for high-load computing in data center environments.