
Dell M10 GPU Computing Processor Tesla (Renewed)
Supercharge Your Server with the Dell Tesla M10 GPUElevate your server's computing capabilities with the Dell Tesla M10 GPU Computing Processor. Designed for PowerEdge R730 and R740 servers, this renewed card delivers exceptional performance for demanding workloads. Compatibility: PowerEdge R730...
*Price sourced from Amazon.com. Last updated:Jun 04, 2026.Price and availability are subject to change.
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Overview
Supercharge Your Server with the Dell Tesla M10 GPU
Elevate your server's computing capabilities with the Dell Tesla M10 GPU Computing Processor. Designed for PowerEdge R730 and R740 servers, this renewed card delivers exceptional performance for demanding workloads.
- Compatibility: PowerEdge R730, R740
- Compliance: TAA Compliance
- Memory: 32 GB
Key Features
Dell Tesla Tesla M10 Graphic Card - 32 GB - TAA Compliance
Specifications
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Pros & Cons
👍 Pros
- Features a substantial 32 GB of memory, which is beneficial for GPU computing applications.
- Designed to handle demanding graphic computing tasks effectively due to its specific architecture.
- The TAA Compliance aspect makes it suitable for government procurement and specific organizational requirements.
- Offers a renewed option, which can represent a cost-effective solution for specialized computing needs.
- Specifically identified as a Dell Tesla M10 Graphic Card, indicating its suitability for accelerated computing workloads.
👎 Cons
- As a renewed product, it might not come with the full manufacturer's warranty typically associated with new hardware.
- The 32 GB memory, while ample for its purpose, is not expandable beyond the stated capacity.
- Its specialized nature as a GPU Computing Processor means it might not be ideal for general consumer graphics or gaming.
- Specific performance metrics or benchmarks are not provided, making it challenging to compare against other options without external research.
- Details on cooling solutions or power consumption are absent, which are important considerations for GPU computing processors.
