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Based on the CUDA™ architecture codenamed “Fermi,” the Tesla™ M-class GPU Computing Modules are the world’s fastest parallel computing processors for high performance computing (HPC).
Based on the CUDA™ architecture codenamed “Fermi,” the Tesla™ M-class GPU Computing Modules are the world’s fastest parallel computing processors for high performance computing (HPC). Tesla GPU’s high performance makes them ideal for seismic processing, biochemistry simulations, weather and climate modeling, signal processing, computational finance, CAE, CFDand data analytics.
Accelerate your science with NVIDIA® Tesla™ 20-series GPUs. A companion processor to the CPU in the server, Tesla GPUs speed up HPC applications by 10x. Based on the Fermi architecture, these GPUs feature up to 665 gigaflops of double precision performance, 1 teraflop of single precision performance, ECC memory error protection, and L1 and L2 caches.
The Tesla M-class GPU modules are integrated into GPU-CPU servers from OEMs. This gives data center IT staff much greater choice in how they deploy GPUs, with a wide variety of rackmount and blade systems and with remote monitoring and management capabilities – enabling large data center, scale-out deployments.
Card Form Factor
Core Clock Speed
Double Precision Floating Point Performance
NVIDIA Tesla Series
Number of Cores
Single Precision Floating Point Performance
To help our clients make informed decisions about new technologies, we have opened up our research & development facilities and actively encourage customers to try the latest platforms using their own tools and if necessary together with their existing hardware. Remote access is also available
Join Boston, our sponsors and the Centre for High Performance Computing (CHPC) for our 2nd annual HPC roadshow, this time coming to you digitally. We invite you to join us as we explore the current state of High Performance Computing and detail our plans for the future including an exciting announcement during our keynote.