NVIDIA NVLink Fusion is a new software layer designed to optimize the performance of NVIDIA High Bandwidth Memory (NVHBM) GPUs. It provides a unified interface for applications to access the full bandwidth potential of NVHBM, regardless of the underlying GPU architecture. This allows for improved data transfer rates between GPUs, which is critical for many AI workloads.
The architecture of NVLink Fusion leverages NVLink’s high-speed interconnect to efficiently manage data flow. It reduces latency and increases throughput, enabling faster model training and inference. This is particularly relevant for applications requiring the simultaneous processing of large datasets across multiple GPUs.
NVLink Fusion is initially available on the Hopper H100 GPU. The software layer is designed to be adaptable and will be expanded to support future generations of NVIDIA GPUs. This approach offers a flexible pathway to maximize the performance of NVIDIA’s hardware investments.
This technology is intended to support increasingly large models and more complex reasoning workloads. The ability to efficiently move data between GPUs is a key enabler for advancements in areas such as generative AI and scientific computing.