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. Tesla K40 GPU Accelerator 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 2 and includes a Tesla GPUBoost 3 feature that enables power headroom to be converted into usercontrolled 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 1 . - 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. Specifications - Device Type: GPU computing processor - Bus Type: PCI Express 3.0 x16 - Graphics Engine: NVIDIA Tesla K40 - Memory: 12 GB - GDDR5 - Core Clock: 745 MHz - CUDA Cores: 2880 - Effective Memory Clock: 3 GHz - Memory Interface: 384-bit - Dimensions (WxDxH): 11 cm x 26.5 cm Features - SMX (streaming multiprocessor) - Dynamic Parallelism - ECC Memory Error Protection - L1 and L2 Caches - Tesla GPU Boost
