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Workstation Graphics and HPC Solutions  


NVIDIA Tesla K80

NVIDIA 900-22080-0000-000 Tesla K80 GPU Computing Accelerators

Introducing the NVIDIA® Tesla® K80 Dual-GPU Accelerator, the newest addition to the Tesla accelerated computing platform. The world’s fastest accelerator for the most complex high performance data analytics and scientific computing applications, the dual-GPU Tesla K80 has double the memory and memory bandwidth and is 80% faster than its predecessor. Plus, it outperforms CPUs by up to 10x on hundreds of applications.

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FASTEST SIMULATIONS HIGHEST PERFORMANCE
Up to 2.2x Faster than Tesla K20X, Up to 2.5x Faster than Tesla K10
Up to 10x Faster than CPU
24 GB Memory for High Performance Data Analytics Intelligently Maximize Performance and Efficiency
Teska K80 Features and Benefits
NVIDIA GPU Boost™: Dynamically scales clocks, based on characteristics of the workload, for maximum application performance. This ensures that each application runs at the highest clocks while remaining within the power and thermal envelope. Double shared memory and register file: Increase effective bandwidth with 2x shared memory and 2x register file compared to the Tesla K20X and K10. Zero-power Idle: Increase data center energy efficiency by powering down idle GPUs when running legacy non-accelerated workloads.
Multi-GPU Hyper-Q: Efficiently and easily schedule MPI ranks across GPUs, increasing GPU utilization and ease of programming. System Monitoring: Manage GPU processors in computing systems using widely used cluster/ grid-management solutions. Memory Protection: Error Correcting Codes (ECC) memory protection for both internal memories and external GDDR5 DRAM meets a critical requirement for computing accuracy and reliability in supercomputing and data centers.
Part Number 900-22080-0000-000
Number of GPUs 2 x GK210
Memory size (GDDR5) 24 GB
CUDA cores 4992
Peak double precision floating point performance 1.87 Tflops
Peak single precision floating point performance 5.60 Tflops
Memory bandwidth (ECC off) 480 GB/sec
GPU Computing Applications Machine Learning and Data Analytics, Seismic Processing, Computational Biology and Chemistry, Weather and Climate Modeling, Image, Video, , Signal Processing, Computational Finance/Physics, CAE, and CFD
Architecture Features SMX, Dynamic Parallelism, Hyper-Q
System Servers