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nVidia Tesla M2090 GPU PCI-E x16 6GB Processing Computing Unit

nVidia Tesla M2090 GPU PCI-E x16 6GB Processing Computing Unit

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Starting at: $2,500.00  $99.00
Save: 96% off

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Add to Cart:
  • SKU: Tesla_m2090
  • UPC: 886818393
  • Model: M2090
  • Shipping Weight: 5lbs
  • 3 Units in Stock
  • Manufactured by: nVidia

DESCRIPTION

nVidia Tesla M2090 6GB GDDR5 PCI-E x16 Processing Module/Unit/GPU
HP Part Number: A0J99A, 653974-001

Manufacturer: nVidia
Model Number: M2090
HP Part Numbers: A0J99A, 653974-001
Number of Processor Cores: 512
Processor Core Clock: 1.3GHz
Memory Clock: 1.8GHz
Memory Interface: 384-bit
Memory Size: 6GB
Peak double precision floating point performance: 665 Gigaflops
Peak single precision floating point performance: 1331 Gigaflops
Memory bandwidth (ECC off): 177 GBytes/sec
Board Interface: PCI-E x16
Output: None
Power Connector Requirements: One 6-pin PCI-E Power Connector
One 8-pin PCI-E Power Connector
Board Power Requirements: 225 Watt
 
Included: Tesla Computing Processor Only
Condition: New, OEM (brown box)
Warranty: 30 Days

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, CFD and 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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Condition:

New


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