Product Overview
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.
Key Features
Hundreds of CUDA cores ECC Memory Error Protection 6GB of GDDR5 Memory per GPU System Monitoring features L1 and L2 Caches as part of the NVIDIA Parallel Datacache™ NVIDIA Gigathread™ Engine Asynchronous transfer with Dual DMA Engines Flexible programming environment with broad support of programming languages and APIs
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Card Form Factor
9.75"
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Core Clock Speed
1.15 GHz
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Double Precision Floating Point Performance
515 Gflops
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GPU Family
NVIDIA Tesla Series
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GPU Manufacturer
NVIDIA
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GPU Model
M2070-Q
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Interface
PCI-E x16
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Manufacturer
Supermicro
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Memory Bandwidth
150 GB/sec
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Memory Interface
384-bit
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Memory Sizes
6GB
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Memory Speed
1.566GHz
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Memory Type
GDDR5
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Number of Cores
448
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Power Consumption
225W
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Single Precision Floating Point Performance
1030 Gflops