Accelerate your most demanding single & double precision workloads in scientific computing, seismic processing, & data analytics applications by upgrading to the NVIDIA Tesla K80 dual-GPU accelerator. It delivers up to 2.2x faster perfor
- mance than the Tesla K20X, up to 2.5x faster performance than the Tesla K10, & up to 10x faster performance than CPUs on real-world applications The Tesla K80 accelerator delivers more than 2x application speed-up compared to the previous generation of accelerators, & up to 10x faster performance compared to CPUs. With exclusive features like 24 GB of GDDR5 memory, 480 GB/s memory bandwidth, & enhanced GPU Boost technology, the Tesla K80 delivers the computational horsepower that means that you can crunch through petabytes of data & run simulations faster than ever before. Tesla GPU Accelerators are built on the NVIDIA Kepler compute architecture & powered by CUDA, the world’s most pervasive parallel computing model. This makes them ideal for delivering record acceleration & compute performance efficiency for applications in fields including: Machine Learning & Data Analytics, Seismic Processing, Computational Biology & Chemistry, Weather & Climate Modeling, Image, Video, & Signal Processing, Computational Finance/ Physics, CAE & CFD. The Kepler-based Tesla family of GPUs is part of the innovative Tesla Accelerated Computing Platform. As the leading platform for accelerating data analytics & scientific computing, it combines the world’s fastest GPU accelerators, the widely used CUDA parallel computing model, & a comprehensive ecosystem of software developers & software vendors. The innovative design of the TESLA K80 compute architecture
Includes::
- Zero-power Idle Increases data center energy efficiency by powering down idle GPUs when running legacy nonaccelerated workloads.
- 2x Shared Memory & 2x Register File Increases effective throughput & bandwidth with 2x shared memory & 2x register file compared to the K40.
- GPU Boost Enables the end-user to convert power headroom to higher clocks & achieve even greater acceleration for various HPC workloads. Dynamically scales GPU clocks for maximum application performance & enhanced energy efficiency Specifications:
- Device Type: GPU computing processor
- Bus Type: PCI Express 3.0 x 16
- Graphics Engine: 2 GPUs
- NVIDIA Tesla K80
- Memory: 24GB GDDR5
- Core Clock: 560 MHz
- Boost Clock: 875 MHz
- CUDA Cores 4992
- Effective Memory Clock: 2.5 G Hz
- Memory Interface: 384-bit
- API Supported: Open ACC
- Fanless: Yes
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Dimensions (Wx Dx H): 11.115 cm x 26.7 cm
Features:
- ECC Memory Error Protection
- System Monitoring Features
- L1 & L2 Caches
- Asynchronous Transfer with Dual DMA Engines
- TESLA GPU Boost
- 2 x Shared Memory & 2 x Register File
- Zero-Power Idle