NVIDIA L20 48GB
10€

Price range: 10€ through 100€
Delivery is made within 14-21 days
The prices are presented for both corporate clients and individuals.
Pricing for
The prices are presented for both corporate clients and individuals.
NVIDIA H800 80GB. Hopper-class 80GB accelerator tuned for regional regs; strong LLM inference. Direct import, warranty, fast shipping, secure payments, enterprise docs.
NVIDIA H800 80GB PCIe OEM is a specialized data center GPU based on the Hopper architecture, built for next-generation artificial intelligence clusters and large-scale model training. Combining massive HBM2e memory, high bandwidth, and NVLink connectivity, it is the perfect choice for data centers handling LLMs and generative AI workloads.
Compared to the A800 series, the H800 delivers significantly improved efficiency thanks to the new Hopper architecture and FP8 precision support, accelerating both training and inference of large-scale AI models.
H800 80GB PCIe OEM is optimized for:
A800 80GB has proven reliable for AI workloads, but its Ampere architecture limits performance with next-generation LLMs. The H800 retains the same 80 GB memory size but benefits from the Hopper architecture, FP8 precision, and faster interconnects — providing a major leap in performance for generative AI and large model training.
In short, the A800 remains a stable option for established data centers, while the H800 is designed for those adopting advanced AI systems that demand cutting-edge computational power.
NVIDIA H800 80GB PCIe OEM delivers a reliable foundation for large-scale AI workloads and next-generation compute clusters. It represents a new era of GPUs built for Generative AI and large language models, combining the Hopper architecture, FP8 precision, and NVLink scalability to empower data centers and enterprises at the forefront of AI innovation.
| Weight | 1 kg |
|---|---|
| Dimensions | 26,8 × 11,2 cm |
| Country of manufacture | Taiwan |
| Manufacturer's warranty (years) | 1 |
| Model | NVIDIA H800 |
| Cache L2 (MB) | 50 |
| Process technology (nm) | 4 |
| Memory type | HBM2e |
| Graphics Processing Unit (Chip) | |
| Number of CUDA cores | 14592 |
| Number of Tensor cores | 432 |
| GPU Frequency (MHz) | 1095 |
| GPU Boost Frequency (MHz) | 1755 |
| Video memory size (GB) | 80 |
| Memory frequency (MHz) | 16000 |
| Memory bus width (bits) | 5120 |
| Memory Bandwidth (GB/s) | 2000 |
| Connection interface (PCIe) | PCIe 5.0 x16 |
| FP16 performance (TFLOPS) | 1979 |
| FP32 performance (TFLOPS) | 989 |
| FP64 performance (TFLOPS) | 49 |
| Cooling type | Passive (server module) |
| Number of occupied slots (pcs) | 2 |
| Length (cm) | 26.8 |
| Width (cm) | 11.2 |
| Weight (kg) | 1 |
| Temperature range (°C) | 0–85 |
| NVLink Throughput (GB/s) | 400 |
| Multi-GPU support | Yes (NVLink embedded) |
| Virtualization/MIG support | MIG (up to 7 instances) |
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