Product information: Nvidia Tesla K40 Parallel Computing Platform Card - 12GB GDDR5 - 2880 CUDA CoreRun your most demanding scientific models on NVIDIA® Tesla® GPU Accelerators.
Based on the NVIDIA Kepler™, Tesla GPUs are designed to deliver faster, more efficient compute performance.
With the introduction of Tesla K40 GPU Accelerators, you can run big scientific models on its 12GB of GPU accelerator memory, capable of processing 2x larger datasets and ideal for big data analytics. It also outperforms CPUs by up to 10x with its GPUBoost feature, converting power headroom into user-controlled performance boost.
With teraflops of single and double precision performance, NVIDIA® Kepler GPU Computing Accelerators are the world’s fastest and most efficient high performance computing (HPC) companion processors. Based on the Kepler compute architecture, which is 3 times higher performance per watt than the previous “Fermi” compute architecture1, the Tesla Kepler GPU Computing Accelerators make hybrid computing dramatically easier, and applicable to a broader set of computing applications. NVIDIA Tesla GPUs deliver the best performance and power efficiency for seismic processing, biochemistry simulations, weather and climate modeling, image, video and signal processing, computational finance, computational physics, CAE, CFD, and data analytics.
• SMX (streaming multiprocessor) design that delivers up to 3x more performance per watt compared to the SM in Fermi. It also delivers 1 petaflop of computing in just 10 server racks.
• Dynamic Parallelism capability that enables GPU threads to automatically spawn new threads. By adapting to the data without going back to the CPU, it greatly simplifies parallel programming and enables GPU acceleration of a broader set of popular algorithms, like adaptive mesh refinement (AMR), fast multipole method (FMM), and multigrid methods.
• Hyper-Q feature that enables multiple CPU cores to simultaneously utilize the CUDA cores on a single Kepler GPU, dramatically increasing GPU utilization, slashing CPU idle times, and advancing programmability. Ideal for cluster applications that use MPI.
- 2880CUDA Cores
- 706MHz Core Clock
- 320Bit GDDR5
- 5GB Memory