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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

CPU: 12 cores, E5-2697v2 @ 2.70GHz. 64GB System Memory, CentOS 6.2. GPU: Single Tesla K80, Boost enabled or Single Tesla K40, Boost Enabled


SELECT THE TESLA GPU that's right for you

Tesla K80 GPU Accelerator
A dual GPU board that combines 24 GB of memory with blazing fast memory bandwidth and up to 2.91 Tflops double precision performance with NVIDIA GPU Boost™, 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 demands high data throughput. Try the Tesla K80 GPU Accelerator today for free.


Tesla K40 GPU Accelerator
The Tesla K40 Accelerator comes equipped with 12 GB of memory and delivers 1.66 TFlops of double precision performance with GPU Boost. 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.


Select the Right Tesla GPU

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.



Additional information on current and legacy GPU accelerators



A complete list of supported operating systems is available at:


NVIDIA knowledgebase is 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.

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