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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.
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Card Form Factor
9.75"
Core Clock Speed
1.15 GHz
Double Precision Floating Point Performance
515 Gflops
GPU Family
NVIDIA Tesla Series
GPU Manufacturer
NVIDIA
GPU Model
Tesla M2075
Interface
PCI-E x16
Manufacturer
Supermicro
Memory Bandwidth
150 GB/sec
Memory Interface
384-bit
Memory Sizes
6GB
Memory Speed
1.565GHz
Memory Type
GDDR5
Number of Cores
448
Power Consumption
200W
Single Precision Floating Point Performance
1030 Gflops
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
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