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Item #:
86373078
Dell NVIDIA Tesla Tesla M10 Graphic Card, 32 GB
Item #:
86373078
UGX 2261644
Price Details
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*All items will import from US
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Accelerate your most demanding HPC, hyperscale, and enterprise data center workloads with NVIDIA Tesla GPU accelerators.
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What Stands Out
Virtualization Support
Innovatively designed to deliver superior virtualization performance, the NVIDIA Tesla M10 enables multiple users to run demanding applications simultaneously, maximizing resource utilization and enhancing productivity in data centers.
High Density
The Tesla M10 offers high GPU density, allowing organizations to pack more rendering power into a smaller physical space, which is ideal for enterprises looking to optimize their infrastructure while reducing costs.
Enhanced Performance
With its powerful architecture and multi-GPU support, the Tesla M10 provides exceptional performance for AI, deep learning, and data analytics, helping businesses tackle complex workloads with ease and efficiency.
Product Details
| Graphics | NVIDIA Tesla Tesla M10 |
| Graphics processor | Dedicated |
| Ram memory | 32 GB |
| Brand | Dell |
| Height | 3.00 in (7.6 cm) |
| Number of graphics processors | 1 |
| Model name | 490-BDIG |
| Weight | 2.7 |
| Has written warranty | No |
| Country of Origin | This item will be imported from US |
| Date First Available | June 28, 2022 |
| What is in the box | Dell NVIDIA Tesla Tesla... For more details, please check description/product details |
Who Should Buy?
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Data Scientists
Ideal for data scientists needing powerful GPU resources for machine learning and deep learning training workloads.
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Cloud Service Providers
Excellent for cloud providers looking to deliver virtual GPU solutions for multiple users, maximizing resource efficiency.
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High-Performance Computing
Suitable for organizations requiring high computational power for large-scale simulations and computations in scientific research.
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Casual Gamers
Not suitable for gamers, as this product is optimized for computation rather than gaming experiences and graphics.
Product Description
Dell NVIDIA Tesla Tesla M10 Graphic Card, 32 GB
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Customer Questions & Answers
-
Question:
What technology does the NVIDIA Tesla Tesla M10 Graphic Card use to boost performance?
Answer: It uses GPU Boost technology. -
Question:
What kind of workloads is the NVIDIA Tesla Tesla M10 Graphic Card suitable for?
Answer: It is suitable for HPC, hyperscale, and enterprise data center workloads. -
Question:
What is the built-in memory capacity of the NVIDIA Tesla Tesla M10 Graphic Card?
Answer: It has a built-in memory of 32 GB.
Dell Graphics Cards Editorial Review
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Pros
- High performance for graphics tasks
- Supports multiple users simultaneously
- Efficient power consumption
- Excellent for virtualization
- Reliable and durable hardware
Cons
- Might require advanced setup knowledge
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- Limitations : For products shipped internationally, please note that any manufacturer warranty may not be valid; manufacturer service options may not be available; product manuals, instructions, and safety warnings may not be in destination country languages; the products (and accompanying materials) may not be designed in accordance with destination country standards, specifications, and labeling requirements; and the products may not conform to destination country voltage and other electrical standards (requiring use of an adapter or converter if appropriate). The recipient is responsible for assuring that the product can be lawfully imported to the destination country. When ordering from Ubuy or its affiliates, the recipient is the importer of record and must comply with all laws and regulations of the destination country.
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UGX 2261644
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Fastest cross-border delivery
Features & Benefits
- Boost performance with GPU Boost technology
- Built-in 32 GB memory for rapid rendering
- Includes Error-Correcting-Codes (ECC) for data reliability
- Ideal for energy exploration, deep learning, and VDI deployments
- Enables faster simulations and accelerates virtual desktops
- Speeds up data processing up to 10x faster than CPUs
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