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NVIDIA

NVIDIA Tesla M2090 GPU Computing Card

★★★★★3.5 (3 reviews)

Unleash Parallel Computing Power The Nvidia Tesla M2090 GPU Card is engineered for integration into OEM GPU-CPU servers. Designed for data centers, this GPU offers IT professionals increased flexibility in GPU deployment across various rackmount and blade systems. Benefit from remote monitoring a...

$129.96*
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*Price sourced from Amazon.com. Last updated:Jul 21, 2026.Price and availability are subject to change.

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Overview

Unleash Parallel Computing Power

The Nvidia Tesla M2090 GPU Card is engineered for integration into OEM GPU-CPU servers. Designed for data centers, this GPU offers IT professionals increased flexibility in GPU deployment across various rackmount and blade systems. Benefit from remote monitoring and management capabilities, enabling expansive, scalable data center deployments.

Specifications:

  • Brand: NVIDIA
  • Model: TESLA M2090
  • Integration: Designed for OEM GPU-CPU servers
  • Deployment: Suitable for rackmount and blade systems
  • Management: Supports remote monitoring and management
  • Application: Ideal for large data center and scale-out deployments

Key Features

Number of Processor Cores: 512

Processor Core Clock: 1.3GHz

Memory Clock: 1.8GHz

Memory Size: 6GB

Peak single precision floating point performance: 1331 Gigaflops

Specifications

Brand
NVIDIA
Model
Tesla M2090
Product Type
GPU Computing Card
Number of Processor Cores
512
Processor Core Clock
1.3GHz
Memory Clock
1.8GHz
Memory Size
6GB
Peak Single Precision Floating Point Performance
1331 Gigaflops

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Frequently Asked Questions

The NVIDIA Tesla M2090 GPU computing card is equipped with 512 processor cores, designed for parallel processing tasks.
The processor cores on the NVIDIA Tesla M2090 operate at a clock speed of 1.3GHz, contributing to its computational performance.
This GPU computing card has a memory clock speed of 1.8GHz, facilitating fast data transfer for demanding applications.
The NVIDIA Tesla M2090 comes with 6GB of memory, suitable for handling large datasets in compute-intensive workloads.
The NVIDIA Tesla M2090 achieves a peak single precision floating point performance of 1331 Gigaflops, indicating its capability for scientific and engineering computations.

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