NVIDIA H100 nvl 94gb gpu

Memory: Equipped with 94GB of high-speed HBM3 memory.
Architecture: Based on NVIDIA's advanced Hopper architecture.
Connection: Uses the high-speed PCIe Gen5 x16 interface.
Cooling: Features a passive cooling system, relying on server fans.
Performance: Utilizes fourth-generation Tensor Cores for acceleration.
Application: Optimized for large language model (LLM) inference.
Interconnect: Supports NVLink for high-speed communication between multiple GPUs.
Scalability: Includes Multi-Instance GPU (MIG) capability.
Power: Has a configurable power consumption of 350-400W.

Order & Purchase Details

27.295,00 $

The NVIDIA H100 Tensor Core GPU, based on the innovative Hopper architecture, is a powerful accelerator designed for the most demanding AI and high-performance computing (HPC) workloads. It is not a consumer-grade graphics card, but a highly specialized component built for data centers, capable of delivering massive computational performance and scalability. By introducing revolutionary features like the Transformer Engine, fourth-generation Tensor Cores, and support for the FP8 data type, the H100 achieves unprecedented speedups for large language model (LLM) training and inference, dramatically reducing the time-to-solution for complex AI and scientific tasks. Its ability to accelerate a wide range of computational tasks with high efficiency makes it a crucial piece of hardware for advanced research and enterprise AI deployments.
The H100 significantly improves upon its predecessor, the A100 GPU, through numerous architectural advancements. It is built with 80 billion transistors on a cutting-edge 4N manufacturing process, providing a substantial increase in raw compute power. For multi-GPU scaling, the H100 features enhanced connectivity with fourth-generation NVLink, enabling ultra-high bandwidth and low-latency communication between GPUs within a server or across a cluster. The second-generation Multi-Instance GPU (MIG) technology also allows for better resource utilization by securely partitioning the GPU into isolated instances, catering to diverse workloads and users in multi-tenant environments.
Beyond raw performance, the H100 is engineered with sophisticated features to enhance efficiency and security in the data center. Its Tensor Memory Accelerator (TMA) unit efficiently handles large data transfers, and new asynchronous execution capabilities allow for greater overlap of compute and data movement. The H100 is also the first GPU to feature confidential computing, providing hardware-based trusted execution environments to protect data and applications during processing. These security enhancements are vital for industries handling sensitive data, such as finance and healthcare.

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