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 & powered by NVIDIA CUDA, the world’s most pervasive parallel computing model. This makes them ideal for delivering record acceleration & more efficient compute performance for big data applications in fields, including seismic processing; computational biology & chemistry; weather & climate modeling; image, video & signal processing; computational finance, computational physics; CAE & CFD; & data analytics. Tesla K40 GPU Accelerator Equipped with 12 GB of memory, the Tesla K40 GPU accelerator is ideal for the most demanding HPC & big data problem sets. It outperforms CPUs by up to 10x 2 &
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 & slashes CPU idle times. Specifications
- Device Type: GPU computing processor
- Bus Type: PCI Express 3.0 x 16
- 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
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Dimensions (Wx Dx H): 11 cm x 26.5 cm Features
- SMX (streaming multiprocessor)
- Dynamic Parallelism
- ECC Memory Error Protection
- L1 & L2 Caches
- Tesla GPU Boost