RTX PRO 4000 Blackwell 24GB
10€ (excl. TAX)

P/N: 900-21001-0000-000
10€ (excl. TAX)
Delivery is made within 14-21 days
The prices are presented for both corporate clients and individuals.
Warranty 1 year
The prices are presented for both corporate clients and individuals.
Free 14 day returns
The prices are presented for both corporate clients and individuals.
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The prices are presented for both corporate clients and individuals.
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NVIDIA A100 80GB. Popular 80GB HBM2e model for balanced AI training/inference. Direct import, vendor warranty, 7–10-day delivery, invoice/cards/crypto.
| Weight | 1 kg |
|---|---|
| Dimensions | 252025141500-0400 × 102025131500-0500 cm |
| Country of manufacture | Taiwan |
| Manufacturer's warranty (years) | 1 |
| Model | NVIDIA A100 |
| Cache L2 (MB) | 40 |
| Process technology (nm) | 4 |
| Memory type | HBM2e |
| Graphics Processing Unit (Chip) | |
| Number of CUDA cores | 6912 |
| Number of Tensor cores | 432 |
| GPU Frequency (MHz) | 1065 |
| GPU Boost Frequency (MHz) | 1410 |
| Video memory size (GB) | 80 |
| Memory frequency (MHz) | 16000 |
| Memory bus width (bits) | 5120 |
| Memory Bandwidth (GB/s) | 1935 |
| Connection interface (PCIe) | PCIe 4.0 x16 |
| FP16 performance (TFLOPS) | 312 |
| FP32 performance (TFLOPS) | 156 |
| FP64 performance (TFLOPS) | Tue Jul 08 2025 14:15:00 GMT-0400 (Eastern Daylight Time) |
| Cooling type | Passive (server module) |
| Number of occupied slots (pcs) | 2 |
| Length (cm) | Fri Jul 25 2025 14:15:00 GMT-0400 (Eastern Daylight Time) |
| Width (cm) | Fri Jan 10 2025 13:15:00 GMT-0500 (Eastern Standard Time) |
| Weight (kg) | 1 |
| Temperature range (°C) | 0–85 |
| NVLink Throughput (GB/s) | 600 |
| Multi-GPU support | Yes, via NVLink |
| Virtualization/MIG support | MIG (up to 7 instances) |
NVIDIA A100 80GB PCIe OEM is a professional accelerator built on the Ampere architecture, designed for artificial intelligence, high-performance computing (HPC), and big data analytics. This GPU remains an industry standard for data centers and research institutions, offering the perfect balance between performance and cost.
80 GB of HBM2e memory with ECC and a bandwidth of up to 1,935 GB/s allows efficient processing of large AI models and massive datasets. Support for Multi-Instance GPU (MIG) technology makes it ideal for cloud and distributed environments, enabling a single GPU to be partitioned into up to seven independent instances.
NVIDIA A100 80GB is still regarded as a reliable standard for data centers — ideal for neural network training, inference, and scientific workloads, offering excellent stability and predictable performance. However, the release of NVIDIA H100 has shifted the focus to an entirely new level of AI computing.
While the A100 was designed as a universal accelerator for AI and HPC workloads, the H100 was built specifically for generative AI and large-scale language model training. It introduces next-generation Tensor Cores and FP8 precision support, dramatically boosting performance in LLM training and inference. With the same memory size, the H100 delivers much higher bandwidth and data throughput, while its Hopper architecture is overall more efficient than Ampere.
Thus, the A100 remains a more affordable and proven choice for organizations that need reliable, time-tested AI and big data accelerators — while the H100 is the solution for those working on the cutting edge of generative AI, seeking maximum performance for the most demanding workloads.
Purchasing the A100 80GB PCIe OEM means investing in a proven accelerator that has become the industry standard and remains relevant for the vast majority of enterprise and research applications.
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