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NVIDIA H100 80GB

Nvidia

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NVIDIA H100 80GB. Hopper data-center accelerator for LLM inference/training, 80GB HBM. Direct import, vendor warranty, compliant docs, delivery 7–10 days, flexible payments.

Product description

H100 80GB PCIE OEM graphics card: graphics, speed, and capabilities without compromise

NVIDIA H100 80GB PCIe OEM is a professional accelerator based on the Hopper architecture, designed for training and inference of artificial intelligence models, big data processing, and high-performance computing. This card is intended for use in data centres and corporate infrastructures where scalability and efficiency are important.

Unlike gaming graphics cards, the H100 is not equipped with video outputs or multimedia units. It is a specialised tool for building clusters and server solutions, optimised for machine learning and HPC tasks.

Specifications

  • GPU architecture: NVIDIA Hopper
  • Graphics processor memory: 80GB HBM2e
  • Number of CUDA cores: 14,592
  • Number of Tensor Cores: 576 (4th generation)
  • FP64, FP32: Depends on optimisation and workload
  • Tensor Core Performance: Delivers high performance for task solving and deep learning
  • INT8: Delivers high performance for AI tasks
  • GPU frequency: Base frequency and boost frequency vary depending on workload and cooling system
  • Process Technology: 4nm (TSMC 4N)
  • PCIe Support: PCIe Gen5
  • Memory Bandwidth: 3 TB/s
  • Memory interface: 5120 bits
  • Form factor: PCIe expansion card
  • Maximum thermal design power: up to 350 W (may vary depending on load)
  • Cooling system: Active
  • Interfaces: PCIe Gen5 x16
  • Multi-instance GPU: number of instances depends on configuration
  • NVIDIA AI Software Stack: Supports various AI libraries and frameworks such as CUDA, cuDNN, TensorFlow, PyTorch, etc.
  • NVIDIA Data Centre GPUs: Optimised for data centre operations
  • NVIDIA Virtual GPU: Supports splitting the GPU into separate instances.

Key benefits and areas of application

H100 80GB PCIe is in demand where world-class computing power is required:

  • training large language models (LLMs) and generative neural networks;
  • inference and model optimisation in enterprise AI services;
  • scalable computing clusters using Multi-Instance GPU (MIG);
  • virtualisation and resource sharing through NVIDIA Virtual GPU and AI Software Stack;
  • integration with popular frameworks (CUDA, cuDNN, TensorFlow, PyTorch, etc.).

Features and positioning

NVIDIA H100 80GB PCIe OEM combines high performance with scalability. Support for PCIe Gen5, large memory capacity, and optimisation for AI frameworks make it a versatile solution for enterprise customers.

Compared to the previous generation A100, the H100 accelerator delivers a multiple increase in power for machine learning and inference tasks, opening up opportunities for generative AI and LLM model processing.

How the H100 differs from the A100

While the A100 80GB was a versatile accelerator for HPC and AI, the H100 was designed specifically for generative models and ultra-large-scale language systems.

  • Double the number of CUDA cores and Tensor Cores.
  • FP8 support — a key difference that provides a huge speed boost when training LLMs.
  • Higher memory bandwidth (HBM3 vs. HBM2e).
  • PCIe 5.0 and NVLink 4.0 interface for next-generation clusters.

Thus, the A100 remains a proven and more affordable solution for data centres, while the H100 is the choice for those working at the forefront of generative AI.

Why you should buy NVIDIA H100 80GB PCIe OEM from OsoDoso-Store

We offer original NVIDIA H100 PCIe OEM server accelerators with warranty and official support:

  • direct delivery from the US and Europe;
  • 3-year warranty;
  • Any form of payment. Card, bank transfer (w/ex VAT), USDT cryptocurrency;
  • consultations on selecting equipment for specific tasks.

Buying the H100 80GB PCIe OEM at OsoDoso-Store means investing in performance and stability for modern AI systems and data centres.

NVIDIA H100 80GB PCIe OEM is a specialised accelerator designed for AI clusters, HPC and enterprise computing. It combines the Hopper architecture, HBM2e memory, and support for modern tools, providing the foundation for the future of artificial intelligence.

Additional information

Weight 1 kg
Dimensions 268 × 111 cm
Country of manufacture

Taiwan

Model

NVIDIA H100

Technological process

4 nm

Architecture

Hopper

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 type

HBM2e

Memory frequency (MHz)

16000

Memory bus width (bits)

5120

Memory Bandwidth (GB/s)

2039

Cache L2 (MB)

50

Connection interface (PCIe)

PCIe 5.0 x16

FP16 performance (TFLOPS)

1979

FP32 performance (TFLOPS)

49

FP64 performance (TFLOPS)

49

Cooling type

Passive (server module)

Number of occupied slots (pcs)

2

Temperature range (°C)

0–85

Multi-GPU support

Yes, via NVLink

Virtualization/MIG support

MIG (up to 7 instances)

Width (mm)

111

Length (mm)

268

Weight (kg)

1

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