Heterogeneous Computing | Heterogeneous Computing
In recent years, the definition of heterogeneous computing has expanded to encompass processors based on different computer architectures. For example, processors based on the Arm architecture may be a better choice for some tasks, due to their higher number of cores, better power-efficiency, and compatibility with Arm-based mobile devices. The adoption of an alternative architecture may reveal smarter ways to handle existing workloads and computing tasks.
By the same logic, installing processors based on an entirely different architecture may be another way to realize the full potential of heterogeneous computing. In recent years, the trend has been to explore alternatives to the conventional x86 architecture, such as Arm processors. Industry experts are looking for ways to unleash the potential of these new products and develop new computing solutions. If your current configuration of processors and coprocessors is performing below expectations, it may be that heterogeneous computing based on a different architecture will have a better chance of fulfilling your needs.
What's more, GIGABYTE has worked for many years with Arm-based systems. GIGABYTE offers a full range of servers designed for Ampere® Altra® processors, based on the Arm architecture. These products are highly recommended for high performance computing (HPC), cloud computing, and edge computing because they can address diverse deployment scenarios with scalability and flexibility. NVIDIA® has also unveiled the NVIDIA® Arm HPC Developer Kit, which includes an Ampere® Altra® processor, two NVIDIA® A100 Tensor Core GPUs, and two NVIDIA® BlueField®-2 DPUs, all contained inside a G242 server by GIGABYTE. This shining example of heterogeneous computing will pave the way for industry leaders to find new ways of tackling computing workloads with tools suited to the task.
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