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Item #:
77022396
NVIDIA NVIDIA Tesla M2090 Graphic Card, 6 GB GDDR5
Item #:
77022396
PHP 46345
Price Details
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Order now and get it around Tuesday, July 21
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NVIDIA Tesla M2090 Graphic Card: Boost performance of any application with GPU Boost technology.
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What Stands Out
High Performance
The NVIDIA Tesla M2090 delivers exceptional computational prowess with 6 GB GDDR5 memory, making it ideal for high-performance computing and deep learning applications.
Scalable Architecture
Designed for scalability, the Tesla M2090 supports multiple GPUs, enabling seamless expansion and enhanced processing power suited for demanding workloads.
Advanced Technologies
Incorporating NVIDIA's advanced technologies, such as CUDA and parallel computing capabilities, the M2090 empowers developers to achieve faster, more efficient computing solutions.
Product Details
- NVIDIA Tesla M2090 Graphic Card, 6 GB GDDR5 with CUDA architecture for high performance computing
- Ideal for seismic processing, biochemistry simulations, weather modeling, signal processing, and more
- GPU Boost technology for performance enhancement, Error-Correcting-Codes (ECC) for data reliability
- OpenCL API for automating tasks, hot-swappable PCI Express x16 interface for ease of use
- GDDR5 memory technology for efficient data movement, 6 GB memory for gaming and rendering
- ECC feature for maximum efficiency and reliability, Plug-in Card form factor
| Graphics | NVIDIA Tesla M2090 |
| Graphics processor | Dedicated |
| Ram memory | 6 GB |
| Brand | NVIDIA |
| Inputs/Outputs | Inputs - PCI Express x16 |
| Dimensions | 15.00 x 10.00 x 10.00 Inches (38.1 x 25.4 x 25.4 cm) |
| Number of graphics processors | 1 |
| Model name | Tesla |
| Weight | 8 lbs (3.63 kg) |
| Has written warranty | No |
| Input/output direction | Output |
Who Should Buy?
-
Data Scientists
This product excels in handling large datasets and complex computations, making it ideal for data analysis and modeling.
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Machine Learning Engineers
With high parallel processing capabilities, it's suited for training machine learning models efficiently and effectively.
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High-Performance Computing
Designed for scientific computing simulations, the Tesla M2090 is perfect for users in research and academia.
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Casual Gamers
This graphics card is not optimized for gaming; gamers may prefer consumer-grade GPUs for better performance.
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Basic Users
Typical office tasks or basic multimedia consumption do not require such advanced graphics capabilities.
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Budget-Conscious Buyers
The Tesla M2090 comes with a high price point, which may not be justifiable for entry-level hardware needs.
Product Description
NVIDIA NVIDIA Tesla M2090 Graphic Card, 6 GB GDDR5
Have any Query? Chat with us
Customer Questions & Answers
-
Question:
What is the benefit of GPU Boost technology?
Answer: GPU Boost technology maximizes the performance of any application by dynamically adjusting the clock speed of the GPU. -
Question:
Does this graphic card support data reliability?
Answer: Yes, it includes Error-Correcting-Codes (ECC) for safeguarding data reliability. -
Question:
What kind of tasks is this graphic card ideal for?
Answer: It is ideal for a range of high performance computing tasks such as seismic processing, biochemistry simulations, weather modeling, signal processing, computational finance, CAE, CFD, and data analytics.
NVIDIA Graphics Cards Editorial Review
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“The product received very good packaging & safe…Thank You”
16 June 2026 · via Trustpilot
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“Accurate delivery timing given”
16 June 2026 · via Trustpilot
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6/7/2026 · via Trustpilot
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“The process was smooth, with clear communication and timelines. This was my 1st purchase and I am really impressed. I will definitely be coming back.”
12 June 2026 · via Trustpilot
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PHP 46345
Order now and get it around Tuesday, July 21
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Features & Benefits
- Utilizes GPU Boost technology to maximize application performance
- Includes Error-Correcting-Codes (ECC) for data reliability
- OpenCL API automates time-consuming tasks
- Easy-to-use PCI Express x16 interface
- GDDR5 memory technology for efficient data transfer
- Ideal for high performance computing tasks like seismic processing, biochemistry simulations, weather modeling, etc.
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