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Item #:
14134893
NVIDIA Tesla K80 - GPU computing processor - 2 GPUs - Kepler - 24 GB GDDR5 - PCIe 3.0 x16
Item #:
14134893
MMK 893703
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NVIDIA Tesla K80 - The ultimate computing accelerators for unmatched performance.
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What Stands Out
High Performance
The Nvidia Tesla K80 delivers exceptional computational power with dual Kepler GK210 GPUs, making it ideal for intensive workloads like deep learning and high-performance computing.
Passive Cooling
Designed with passive cooling technology, the Tesla K80 operates silently and efficiently, ensuring optimal performance while reducing energy consumption and heat output.
Large Memory
Equipped with 24GB of memory, the K80 supports large datasets and complex models, enabling researchers and developers to tackle demanding applications without memory constraints.
Product Details
- NVIDIA Tesla K80 24GB GPU Accelerator with passive cooling
- Memory Type: GDDR5, Memory Size: 24 GB
- Chipset/GPU Model: NVIDIA Tesla K80, Chipset Manufacturer: NVIDIA
- Cooling Component: None/Video Card only, Power Cable Requirement: 8-Pin PCI-E
- Dimensions: 10.5in (Length), 4.4in (Height)
- Additional Features: Humidity Range Operating: 5-90%, MAX Operating Temperature_Display: 45°C
Who Should Buy?
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Data Scientists
Ideal for running complex machine learning models requiring substantial computational power and memory capacity.
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Research Institutions
Perfect for advanced scientific simulations and data processing tasks that require high-performance computing capabilities.
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GPU-Heavy Applications
Suitable for workloads in graphics rendering, financial modeling, and deep learning with heavy GPU demands.
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Casual Gamers
Not ideal for gaming as it is designed for compute tasks rather than gaming performance optimization.
Product Description
NVIDIA Tesla K80 - GPU computing processor - 2 GPUs - Kepler - 24 GB GDDR5 - PCIe 3.0 x16
About This Item
Introducing the Nvidia Tesla K80 24GB GPU Accelerator - the ultimate computing powerhouse for your high-performance needs. Designed with passive cooling and equipped with 2x Kepler GK210 GPUs, this GPU delivers unmatched performance and efficiency. With a memory size of 24GB GDDR5 (12GB per GPU), you'll have more than enough power to handle complex tasks and intensive calculations.
The memory bandwidth of 480 GB/sec (240 GB/sec per GPU) ensures speedy data transfer, while the impressive 4992 CUDA Cores (2496 per GPU) provide exceptional parallel processing capabilities. Not only does the Nvidia Tesla K80 GPU offer exceptional performance, but it also comes with the added benefit of passive cooling. This means that you can enjoy a quieter computing experience without the need for additional cooling fans. Say goodbye to noisy distractions and focus on what matters most - your work. But that's not all.
The Nvidia Tesla K80 GPU has been meticulously designed to meet California Proposition 65 standards, ensuring that you're protected from harmful chemicals. So you can enjoy peace of mind while harnessing the power of this incredible GPU. If you're in the market for a top-tier GPU, look no further than the Nvidia Tesla K80 24GB GPU Accelerator. Its impressive specifications, passive cooling, and dedicated design for e-commerce make it the perfect choice for professionals and enthusiasts alike. Experience the power.
Buy the Nvidia Tesla K80 GPU today and take your computing capabilities to new heights.
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Customer Questions & Answers
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Question:
What is the memory size of NVIDIA Tesla K80?
Answer: The memory size is 24GB GDDR5 (12GB per GPU). -
Question:
How many CUDA cores does it have?
Answer: It has 4992 CUDA cores (2496 per GPU). -
Question:
What is the memory bandwidth of the Tesla K80?
Answer: The memory bandwidth is 480 GB/sec (240 GB/sec per GPU).
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Pros
- High performance for AI tasks
- Excellent for deep learning
- Efficient cooling system
- Great for data processing
- Dual GPUs for enhanced power
Cons
- May require a larger setup space.
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MMK 893703
Order now and get it around Saturday, September 19
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Features & Benefits
- Memory Size: 24GB GDDR5 (12GB per GPU)
- GPU: 2x Kepler GK210
- Memory Bandwidth: 480 GB/sec (240 GB/sec per GPU)
- CUDA Cores: 4992 (2496 per GPU)
- Warning: California Proposition 65
- For more information, visit www.P65Warnings.ca.gov
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