NVIDIA Tesla A100 Ampere 40 GB Graphics Processor Accelerator - PCIe 4.0 x16 - Dual Slot
74% of respondents would recommend this to a friend
GBP 4422
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The NVIDIA A100 delivers unprecedented acceleration at every scale for AI, data analytics, and HPC to tackle the world's toughest computing challenges.
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What Stands Out
Product Details
| Graphics Coprocessor | NVIDIA Tesla A100 |
| Graphics Card Ram | 40 |
| Video Output Interface | DisplayPort, HDMI |
| Graphics Ram Type | HBM2 |
| Compatible Devices | Desktop |
| Graphics Card Interface | PCI-Express x16 |
| Memory Clock Speed | 1215 MHz |
| Display Maximum Resolution | 7680x4320 |
| Display Resolution Maximum | 7680x4320 |
| Brand | Dell |
| Video Processor | NVIDIA |
| Antenna Location | HPC Deep Learning |
| Built-In Media | Graphics Card |
| Model Name | A100 |
| Graphics Description | NVIDIA A100 Ampere 40 GB Graphics Card - PCIe 4.0 - Dual Slot |
| Unit Count | 1 Count |
| Number of Packs | 1 |
| Manufacturer | NVIDIA |
| Number of Items | 1 |
| Model Number | 490-BGFV |
| Mfr Part Number | 490-BGFV |
| Graphics Ram Size | 40 |
| Graphics Processor Manufacturer | NVIDIA |
| Item Weight | 3.5 lbs (1.59 kg) |
Who Should Buy?
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Deep Learning Researchers
Ideal for those developing AI models requiring high-performance computing and extensive memory for complex calculations.
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Data Scientists
Perfect for professionals who need powerful GPUs for large datasets, machine learning algorithms, and data analysis tasks.
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High-Performance Computing
Suitable for users working in scientific simulations or financial modeling that demands substantial computational power.
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Casual Gamers
Not suitable for gamers who don't require top-tier graphics and performance found in gaming-specific GPUs.
Product Description
NVIDIA Tesla A100 Ampere 40 GB Graphics Processor Accelerator - PCIe 4.0 x16 - Dual Slot
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Dell Graphics Cards 490-BGFV Editorial Review
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GBP 4422
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Features & Benefits
- Unprecedented acceleration for AI, data analytics, and HPC
- Efficient scalability to thousands of GPUs
- NVIDIA Multi-Instance GPU (MIG) technology for workload acceleration
- Third-generation Tensor Cores for diverse workloads
- 40 GB standard memory
- PCI Express 4.0 host interface
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