HP 653974-001 Nvidia Tesla M2090 6GB PCIe x16 GPU

HP 653974-001 Nvidia Tesla M2090 6GB PCIe x16 GPU
HP 653974-001 Nvidia Tesla M2090 6GB PCIe x16 GPU
The HP part number 653974-001 features the Nvidia Tesla M2090 GPU, a powerful accelerator designed for demanding scientific, engineering and data analytics workloads. With 6GB of high-speed GDDR5 memory and a full x16 PCI Express interface, this card... Read More
price
$249.95

Ships next business day.

  • In Stock: 3
  • Manufacturer: HP
  • Model or Part: 653974-001
  • Condition: Refurbished
  • Weight: 3.00lb
United States Shipping
Orders over $200 qualify for Free Super-Saver Shipping! We ship at our discretion via the most cost-effective method using FedEx, UPS, or USPS.

To ensure your order is processed efficiently, all shipping charges must be pre-paid at checkout. We are unable to bill directly to third-party shipper accounts or use customer-provided labels for domestic shipments.
International Shipping
International orders begin processing as soon as payment is confirmed.

  • Pre-paid Shipping: For your convenience, you can select and pay for international shipping directly at checkout.
  • Carrier Accounts: Alternatively, we can bill transport costs directly to your FedEx account number. (Note: We cannot bill to DHL, TNT, or UPS accounts).
  • Customer Labels: We are also happy to ship internationally using pre-paid labels provided by you for any carrier.
Expedited and Rush Shipping
Need it faster? HardwareJet.com offers 1 or 2-day expedited shipping options during checkout for eligible items.

To get your order to the front of the line, expedited orders include a small rush fee in addition to the carrier's shipping charges. If an item is not available for expedited shipping, these options will not appear in your cart.

Item Condition

New - Sealed or Open Box Condition
Excellent - Almost-New, Missing Original Packaging
Refurbished - Seller Refurbished, Good Condition, Previously Used Item

To bring you an even wider selection, some of our items are shipped directly from our trusted partners. Delivery times may vary for these items.

Overview

The HP part number 653974-001 features the Nvidia Tesla M2090 GPU, a powerful accelerator designed for demanding scientific, engineering and data analytics workloads. With 6GB of high-speed GDDR5 memory and a full x16 PCI Express interface, this card delivers massive parallel processing power that can dramatically reduce simulation times and increase throughput in compute intensive environments.

Key Features

  • 6GB GDDR5 memory with 192-bit bus for high bandwidth data access
  • 512 CUDA cores enable large scale parallelism for GPU accelerated applications
  • PCIe Gen2 x16 interface provides up to 8 GB/s of sustained throughput
  • Support for Nvidia CUDA, OpenCL and Direct Compute APIs for flexible development
  • Built-in ECC memory protection helps maintain data integrity in critical calculations
  • Optimized drivers for professional workloads including HPC, AI and deep learning

Technical Specifications

  • GPU Architecture: Fermi
  • CUDA Cores: 512
  • Memory Capacity: 6 GB GDDR5
  • Memory Bandwidth: 177 GB/s
  • Core Clock: 1.15 GHz
  • Boost Clock: 1.30 GHz
  • Thermal Design Power (TDP): 250 W
  • Interface: PCI Express x16 Gen2
  • Form Factor: Dual slot, full height
  • Operating Temperature Range: 0 to 85 degrees C

Typical Applications

  • High performance computing (HPC) simulations such as fluid dynamics and weather modeling
  • Machine learning and deep neural network training where large matrix operations are common
  • Scientific research including molecular dynamics, quantum chemistry and astrophysics calculations
  • Financial analytics for risk assessment, Monte Carlo simulations and real-time data processing
  • Engineering design tasks such as finite element analysis (FEA) and computer aided engineering (CAE)
  • Big data analytics platforms that require accelerated query processing and data mining

This Nvidia Tesla M2090 GPU from HP provides a reliable, high-performance foundation for any organization looking to accelerate compute intensive tasks while maintaining energy efficiency and system stability.