The HP Nvidia Tesla K40 12GB Active Cooling GPU Video Graphics Card with dynamic cooling from Nvidia is a GPU with no video outputs designed only exclusively for giving speed increase to help computational serious undertakings, for example, rendering 3D models, cryptography, and examination of complex informational indexes. It includes a 745 MHz core which can be helped (overclocked) before the end-user up to 875 MHz and has 2880 Kepler age CUDA centers (stream processors) which permit it to perform many calculations at the same time. To ensure data moves to and from the processors as proficiently as could be expected, the card highlights 12 GB of GDDR5 RAM over a 384-cycle memory interface. A 750 MHz local memory clock speed gets viably helped to 3 GHz on account of the reality GDDR5 type memory moves information at four words for every cycle. Inside and out this yields a memory data transfer capacity of 288 GB/s.

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

NVIDIA Tesla K40 GPU Accelerators to settle your most requesting HPC and huge information challenges. They highlight 1.4 TFLOPS execution, 12 GB memory, and super quick 288 GB/s throughputs, enabling you to deal with huge datasets while conveying up to10X speed increase contrasted with CPUs.

Features and Benefits

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

SPECIFICATIONS:

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