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TESLA GPU ACCELERATORS FOR SERVERS

Accelerate your most demanding data analytics and scientific computing applications with NVIDIA® Tesla® GPU Accelerators. Based on the NVIDIA Kepler™ Architecture, Tesla accelerators are designed to deliver faster, more efficient compute performance.

From energy exploration to machine learning, data scientists can crunch through petabytes of data with Tesla accelerators, up to 10x faster than with CPUs. For computational scientists, Tesla accelerators deliver the horsepower needed to run bigger simulations faster than ever.

 

NVIDIA Tesla K80 Accelerator Performance

 

SELECT THE TESLA GPU THAT’S RIGHT FOR YOU

Tesla K80 GPU Accelerator
The Tesla K80 GPU is designed for the most demanding computational tasks. It’s ideal for single and double precision workloads that not only require leading compute performance but also demand high data throughput. Learn more.

Tesla K40 GPU Accelerator
The Tesla K40 Accelerator comes equipped with 12 GB of memory and delivers 1.43 TFlops of double precision performance. A flexible solution for applications in high performance computing and data analysis, the Tesla K40 Accelerator effortlessly tackles high performance computing and data analytics applications.

 

HYPERSCALE

Tesla M4 GPU Accelerator
The Tesla M4 GPU brings the power of the Tesla Accelerated Computing Platform to the hyperscale data centre. This is a low-power, small form factor GPU accelerator optimised for video transcoding, image processing, and machine learning inference that efficiently offloads demanding applications and boosts data centre throughput. Coming soon.

Tesla M40 GPU Accelerator
The Tesla M40 GPU Accelerator is purpose-built for deep learning training and is the world's fastest deep learning training accelerator for data centres. Tesla M40 is based on NVIDIA Maxwell™ architecture and a Tesla M40 server outperforms CPU server by 13x. Learn more.

 

ENTERPRISE VIRTUALISATION

Tesla M6 GPU Accelerator
The Tesla M6 GPU Accelerator is designed specifically for data centres that are virtualising desktop graphics. It comes in an MXM form factor running at less than 100W for high-density data centres with blade servers and converged infrastructure and can support 16 concurrent users. Find out more about GRID technology.

Tesla M60 GPU Accelerator
This accelerator is designed specifically for data centres that are virtualising desktop graphics. It's a dual-slot PCI Express form factor for rack and tower servers capable of supporting 32 concurrent users. Find out more about GRID technology.

 
 

SELECTING THE RIGHT TESLA GRAPHICS CARD

Features Tesla K801 Tesla K40
GPU 2x Kepler GK210 1 Kepler GK110B
Peak double precision floating point performance 2.91 Tflops (GPU Boost Clocks)
1.87 Tflops (Base Clocks)
1.66 TFlops (GPU Boost Clocks)
1.43 Tflops (Base Clocks)
Peak single precision floating point performance 8.74 Tflops (GPU Boost Clocks)
5.6 Tflops (Base Clocks)
5 Tflops (GPU Boost Clocks)
4.29 Tflops (Base Clocks)
Memory bandwidth (ECC off)2 480 GB/sec (240 GB/sec per GPU) 288 GB/sec
Memory size (GDDR5) 24 GB (12GB per GPU) 12 GB
CUDA cores 4992 (2496 per GPU) 2880
 

1 - Tesla K80 specifications are shown as aggregate of two GPUs.
2 - With ECC on, 6.25% of the GPU memory is used for ECC bits. For example, 6 GB total memory yields 5.25 GB of user available memory with ECC on.

 
 

PRODUCT LITERATURE

Additional information on current and legacy GPU accelerators.

 

SUPPORTED OPERATING SYSTEMS

A complete list of supported operating systems is available at:

TESLA GPU HARDWARE SUPPORT

Knowledgebase
NVIDIA knowledgebase available online 24x7x365 and contains answers to the most common questions and issues.

User Forums
Discuss Tesla products, talk about CUDA development, and share interesting issues, tips and solutions with your fellow NVIDIA Tesla users on the GPU computing forums.

RMA Requests
For RMA requests, replacements and warranty issues regarding your NVIDIA based product, please contact the OEM or reseller that you purchased it from.

 
 
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