The NVIDIA A100 (Customized) is a high-performance data center GPU designed for AI, machine learning, deep learning, HPC (High-Performance Computing), and large-scale analytics. This customized version provides enhanced performance and memory configurations to meet specific enterprise and research requirements.
The A100 GPU delivers unmatched acceleration for compute-intensive workloads, enabling faster AI model training, high-throughput inference, and large-scale simulations. Its flexible architecture allows for multi-GPU scaling with NVLink, making it suitable for cloud, on-premises, and hybrid deployments.
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Specification |
Detail |
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GPU Architecture |
NVIDIA Ampere |
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CUDA Cores |
6,912–7,680 (depending on customized configuration) |
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Tensor Cores |
432 (3rd generation) |
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Memory |
40–80 GB HBM2 or customized options |
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Memory Bandwidth |
1.6–2.0 TB/s depending on configuration |
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NVLink Support |
Yes, for multi-GPU scaling |
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PCI Express |
PCIe 4.0 x16 or customized interconnect |
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Form Factor |
Dual-slot, full-height, customized for server compatibility |
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TDP (Thermal Design Power) |
250–400 W depending on configuration |
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Cooling |
Active cooling with server-optimized thermal design |
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Operating Temperature |
0 °C to 50 °C |
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Use Cases / Workload Fit |
AI/ML training, HPC simulations, deep learning inference, data analytics, multi-GPU clusters |
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Certifications |
CE, FCC, RoHS |
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Warranty / Support Options |
Standard NVIDIA warranty; optional enterprise support and service contracts available |