PNY NVIDIA Tesla K40 GPU Computing Accelerator - 12GB
Scan code: LN54902
Manufacturer code: TCSK40CARD-PB
End Of Life
PNY NVIDIA Tesla K40 GPU Computing Accelerator - 12GB
12GB PNY Tesla K40 Computing Accelerator, PCIe 3.0 (x16), GDDR5, GPU 745MHz, 2880 Cores, 4.29 TFLOPS SP, 1.4 TFLOPS DP
Scan code:
LN54902
Manufacturer code:
TCSK40CARD-PB
This product is no longer available to purchase.
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Product Overview
TESLA K40 GPU COMPUTING ACCELERATOR
Solve your most demanding High-Performance Computing (HPC) challenges with NVIDIA Tesla family of GPUs. They're built on the NVIDIA Kepler™ compute architecture and powered by NVIDIA CUDA®, the world's most pervasive parallel computing model. This makes them ideal for delivering record acceleration and more efficient compute performance for big data applications in fields, including seismic processing; computational biology and chemistry; weather and climate modeling; image, video and signal processing; computational finance, computational physics; CAE and CFD; and data analytics.
Equipped with 12 GB of memory, the Tesla K40 GPU accelerator is ideal for the most demanding HPC and big data problem sets. It outperforms CPUs by up to 10x and includes a Tesla GPUBoost feature that enables power headroom to be converted into user controlled performance boost.
The innovative design of the Kepler compute architecture includes:
SMX (streaming multiprocessor)
Delivers up to 3x more performance per watt than the SM in last-generation NVIDIA Fermi GPUs.
Dynamic Parallelism
Enables GPU threads to automatically spawn new threads, by adapting to the data without going back to the CPU, this greatly simplifies parallel programming.
Hyper-Q
Allows multiple CPU cores to simultaneously use the CUDA cores on a single Kepler GPU. This dramatically increases GPU utilization and slashes CPU idle times. Features ECC MEMORY ERROR PROTECTION
Meets a critical requirement for computing accuracy and reliability in datacenters and supercomputing centers. Both external and internal memories are ECC protected in Tesla K40.
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.
TESLA GPUBoost
End-user can convert power headroom to higher clocks and achieve even greater acceleration for various HPC workloads on Tesla K40.
Solve your most demanding High-Performance Computing (HPC) challenges with NVIDIA Tesla family of GPUs. They're built on the NVIDIA Kepler™ compute architecture and powered by NVIDIA CUDA®, the world's most pervasive parallel computing model. This makes them ideal for delivering record acceleration and more efficient compute performance for big data applications in fields, including seismic processing; computational biology and chemistry; weather and climate modeling; image, video and signal processing; computational finance, computational physics; CAE and CFD; and data analytics.
Equipped with 12 GB of memory, the Tesla K40 GPU accelerator is ideal for the most demanding HPC and big data problem sets. It outperforms CPUs by up to 10x and includes a Tesla GPUBoost feature that enables power headroom to be converted into user controlled performance boost.
The innovative design of the Kepler compute architecture includes:
SMX (streaming multiprocessor)
Delivers up to 3x more performance per watt than the SM in last-generation NVIDIA Fermi GPUs.
Dynamic Parallelism
Enables GPU threads to automatically spawn new threads, by adapting to the data without going back to the CPU, this greatly simplifies parallel programming.
Hyper-Q
Allows multiple CPU cores to simultaneously use the CUDA cores on a single Kepler GPU. This dramatically increases GPU utilization and slashes CPU idle times. Features ECC MEMORY ERROR PROTECTION
Meets a critical requirement for computing accuracy and reliability in datacenters and supercomputing centers. Both external and internal memories are ECC protected in Tesla K40.
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.
TESLA GPUBoost
End-user can convert power headroom to higher clocks and achieve even greater acceleration for various HPC workloads on Tesla K40.
PNY NVIDIA Tesla K40 GPU Computing Accelerator - 12GB
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