Powerful GPU servers for AI/ML workloads

The NVIDIA H100 GPU brings several key innovations to the table:

• Fourth-generation Tensor Cores: These Tensor Cores are designed to perform matrix computations faster than ever before. They are capable of handling a wider range of AI and HPC workloads with improved efficiency.
• Transformer Engine: The H100 GPU incorporates a new Transformer Engine, which results in remarkable speed improvements. It can deliver up to 9x faster AI training and up to 30x faster AI inference speed compared to the prior generation A100 GPU, particularly beneficial for large language models.
• NVLink Network Interconnect: The GPU features a new NVLink Network interconnect, enabling seamless GPU-to-GPU communication. This interconnect can connect up to 256 GPUs across multiple compute nodes, facilitating efficient data exchange and parallel processing.
• Secure MIG (Multi-Instance GPU): Secure MIG partitions the GPU into isolated instances, optimizing the quality of service (QoS) for smaller workloads. This ensures that different tasks running on the GPU do not interfere with each other, enhancing overall performance and security.