Tesla K10M

Tesla K10M
Part No. TCSK10M-R2L-PB
EAN: 3536403342579

Thông số kĩ thuật

CUDA PARALLEL PROCESSING CORES 2 x 1536
INTERFACE 320-bit
FRAME BUFFER MEMORY 8 GB GDDR5
MEMORY BANDWIDTH 320 GBytes/sec
DISPLAY CONNECTORS None
MAX POWER CONSUMPTION 225 W
INTERNAL CONNECTORS AND HEADERS (1) 6-pin PCI Express power connector
(1) 8-pin PCI Express power connector
GRAPHICS BUS PCI Express 2.0 x16
FORM FACTOR 110 mm (H) x 265 mm (L) – Dual Slot
THERMAL SOLUTION Passive
Peak double precision floating point performance (board) 0.19 teraflops
Peak single precision floating point performance (board) 4.58 teraflops
Number of GPUs 2 x GK104s
GPU computing applications Seismic,
Image
Signal processing
Video analytics
Architecture features SMX
System Servers only
TESLA K10 – GPU Computing Accelerator Common Features
ECC Memory Error Protection Meets a critical requirement for computing accuracy and reliability in datacenters and supercomputing centers. External DRAM is ECC protected in Tesla K10 and both external and internal memories are ECC protected in Tesla K20X.
System Monitoring Features Integrates the GPU subsystem with the host system’s monitoring and management capabilities such as IPMI or OEM-proprietary tools. IT staff can thus manage the GPU processors in the computing system using widely used cluster/grid management solutions.
L1 and L2 caches Accelerates algorithms such as physics solvers, ray-tracing, and sparse matrix multiplication where data addresses are not known beforehand
Asynchronous Transfer with dual DMA engines Turbocharges system performance by transferring data over the PCIe bus while the computing cores are crunching other data.
Flexible programming environment with broad support of programming languages and APIs Choose OpenACC, CUDA toolkits for C, C++, or Fortran to express application parallelism and take advantage of the innovative Kepler architecture.
NVIDIA Tesla K-series GPU Accelerators are based on the NVIDIA Kepler™ compute architecture and powered by CUDA®, the world’s most pervasive parallel computing model. They include innovative technologies like Dynamic Parallelism and Hyper-Q to boost performance as well as power efficiency and deliver record application speeds for seismic processing, biochemistry simulations, weather and climate modeling, image, video and signal processing, computational finance, computational physics, CAE, CFD, and data analytics.
Optimized for single precision applications, the Tesla K10 includes two ultra-efficient GK104 Kepler GPUs to deliver high throughput. It delivers up to 2x the performance for single precision applications compared to the previous generation Tesla M2090 GPU in the same power envelope. With an aggregate performance of 4.58 teraflop peak single precision and 320 gigabytes per second memory bandwidth for both GPUs put together, the Tesla K10 is optimized for computations in seismic, signal image processing, and video analytics.

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