NVIDIA Tesla K40 900-22081-0040-000 12GB GDDR5 GPU Computing Accelerators - Passive

  NVIDIA Tesla K40 900-22081-0040-000 12GB GDDR5 GPU Computing Accelerators - Passive
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NVIDIA Tesla K40 900-22081-0040-000 Passive Computing Accelerators - Memory Size: 12GB GDDR5, Memory Bandwidth: 288 GB/s, CUDA Cores: 2880.
Description

 

NVIDIA Tesla K40 - Passive


NVIDIA 900-22081-2250-000 Tesla K40 GPU Computing Accelerators - Passive

Solve your most demanding HPC and big data challenges on the NVIDIA Tesla K40 GPU Accelerator. The world's fastest accelerator, it outperforms CPUs by up to 10x and is equipped with 12 GB of GPU accelerated memory to process 2x larger datasets than previous GPUs - making it ideal for big data analytics.

 

FASTEST SIMULATIONS

Accelerates results with 1.4 TF of throughput, 2,880 CUDA cores, and 288 GB/s bandwidth

HIGHEST PERFORMANCE

Unlocks extra application performance with NVIDIA GPU Boost technology

 

 

LARGEST DATASET ACCESS

Ideal for fluid dynamics simulations, seismic analysis, and rendering applications

 

Teska K40 Features and Benefits

 

  • NVIDIA GPU Boost: On-demand performance boost to attain up to 25% additional application speedup
  • ECC Memory: Address a critical requirement for computing accuracy and reliability in supercomputing and data centers.
  • Streaming Multiprocessor (SMX): Perform 3X the workload with the same power budget
  • System Monitoring Features: Manage GPU processors in computing systems using widely used cluster/ grid-management solutions.
  • NVIDIA Kepler Architecture: Accelerate all your applications with the world's fastest, most efficient HPC architecture.

 

Specification
General
BrandNVIDIA
GPU900-22081-0040-000
HighlightsNVIDIA Tesla K40 900-22081-0040-000 Passive Computing Accelerators - Memory Size: 12GB GDDR5, Memory Bandwidth: 288 GB/s, CUDA Cores: 2880.
Specifications
ChipGK110B
Memory Size12GB GDDR5
CUDA Cores2880
Peak double precision floating point performance1.43 Tflops
Peak single precision floating point performance4.29 Tflops
Memory bandwidth (ECC off)288 GB/sec
GPU Computing ApplicationsCFD, CAE, Financial computing, Computa- tional chemistry and Physics, Data analytics, Satellite imaging, Weather modeling
Architecture FeaturesSMX, Dynamic Parallelism, Hyper-Q
SystemWorkstation
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