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Author: Admin | 2025-04-28
That capability from GPUs, allowing them to be more efficient. “So that’s why networking is important and having a schedule fabric where you have guaranteed delivery and guaranteed throughput is important,” Hoff says. “And DPUs help do that with standard, off-the-shelf switching.”Pairing a DPU with standard switching via Ethernet allows enterprises to create a “high-performance fabric that’s nearly lossless,” Hoff says, meaning a network that can transfer data with almost no packet loss.LEARN MORE: How can you use serverless computing to build and modernize applications?DPUs vs. GPUs vs. CPUs: What’s the Difference?DPUs are “completely different from CPUs and GPUs because they are also known as system-on-a-chip, application-specific integrated circuits, designed for a specific set of functions,” McGregor says. CPUs are designed to a specific instruction set to be completely programmable for a wide variety of functions, McGregor says. They are the backbone of modern computing and handle a wide range of computing tasks for operating systems and applications.“GPUs were designed for graphics and multimedia processing but increasingly have AI-specific cores because their massive parallelization makes them good for AI processing,” McGregor says. GPUs efficiently perform the kind of calculations needed for inferences in generative AI large language models, Hoff notes, saving organizations time and energy costs. “The DPU is on the infrastructure side, where I can then accelerate the network” for scheduled fabrics, security, encryption and storage connectivity, Hoff says.DIVE DEEPER: How automation can help IT leaders alleviate DevOps challenges.What Are the Benefits of DPUs?DPUs offload networking and storage functions
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