
NVIDIA Tesla M2090 GPU Computing Card
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...
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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
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Pros & Cons
👍 Pros
- The NVIDIA Tesla M2090 GPU Computing Card features 512 processor cores, delivering significant parallel processing power for computational tasks.
- With a processor core clock speed of 1.3GHz, it offers robust performance for demanding scientific and engineering applications.
- Equipped with 6GB of memory, it provides ample capacity for large datasets and complex simulations.
- The memory clock speed of 1.8GHz ensures rapid data access for high-performance computing workloads.
- It achieves a peak single precision floating point performance of 1331 Gigaflops, highlighting its strong computational capabilities.
- This computing card is designed for GPU-accelerated computing, making it highly efficient for specific parallelizable algorithms.
👎 Cons
- The NVIDIA Tesla M2090 is an older generation GPU computing card, which may not offer the same performance or power efficiency as newer models.
- It is primarily designed for scientific and engineering computing, making it unsuitable for typical consumer gaming or standard desktop graphics.
- The card requires a system with specific compatibility, including appropriate PCI Express slots and power connectors, which may not be present in all workstations.
- Information on cooling solutions (e.g., passive vs. active) is not provided, which is critical for maintaining performance under heavy load.
- As a specialized computing card, it may have a higher power consumption profile compared to general-purpose graphics cards.
- Driver support and ongoing software optimization for this older model might be less extensive than for current-generation GPUs.