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TESLA K80

TESLA GPU ACCELERATORS FOR SERVERS

Accelerate your most demanding HPC, hyperscale, and enterprise data center workloads with NVIDIA® Tesla® GPU accelerators. Scientists can now crunch through petabytes of data up to 10x faster than with CPUs in applications ranging from energy exploration to deep learning. Plus, Tesla accelerators deliver the horsepower needed to run bigger simulations faster than ever before. For enterprises deploying VDI, Tesla accelerators are perfect for accelerating virtual desktops to any user, anywhere.

 

LOWER DATA CENTER COSTS. BOOST PERFORMANCE.

The NVIDIA® Tesla® K80 Accelerator dramatically lowers data center costs by delivering exceptional performance with fewer, more powerful servers. It's engineered to boost throughput in real-world applications by 5-10x, while also saving customers up to 50% for an accelerated data center compared to a CPU-only system. This increased throughput means more scientific discoveries delivered to researchers every day, or better user engagement for web services.

More than 400 industry-leading applications already support NVIDIA GPUs, including 9 of the top 10 HPC applications. With features like dual-GPU design and Dynamic GPU Boost, Tesla K80 is built to deliver superior performance in these applications. Tesla is the world's leading platform for the accelerated data center, with innovations in interconnect technologies like GPU direct RDMA, popular programming models like NVIDIA CUDA® and OpenACC, and hundreds of accelerated applications and libraries.

 

TECHNICAL SPECIFICATIONS Tesla K80 TESLA K40
Peak single-precision floating point performance (board)

2.91 Tflops

1.43 Tflops

Peak single-precision floating point performance(board)

8.74 Tflops

4.29 Tflops

Number of GPUs

2 x GK210

1 x GK110B

Number of CUDA cores

4992

2,880

Memory size per board (GDDR5)

24GB

12 GB

Memory Interface

384-bit

384-bit

Memory bandwidth for board (ECC off)2

480 Gbytes/sec

288 Gbytes/sec

Thermal Solution

Passive

Active & Passive

Max Power Consumption

300W

235W

Form Factor

4.376"H x 10.5" L

4.376"H x 10.5" L

Architecture features

SMX, Dynamic Parallelism, Hyper-Q

SMX, Dynamic Parallelism, Hyper-Q

System

NVIDIA Certified Servers

Servers and workstation

 

* Please check with your server vendor for the CPU power connector usage before turn on the server to avoid potential damage.