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Agentic AI Drives Next-wave Computing Demands
Agentic AI systems are capable of sophisticated reasoning, iterative planning, and autonomous decision-making which reshape computing needs. Unlike traditional query-response models, agentic AI can decompose complex challenges into multi-step tasks, execute them autonomously, and continuously refine its strategy through feedback loops.
Scaling On-Prem Infrastructure to Support Evolving AI Workloads
As AI workloads continue to evolve from model training to agentic and real-time inference, the demand of edge infrastructure with low-latency and high-bandwidth surges. While cloud resources remain useful for early-stage experimentation,
Scalable DDR5 Memory Solutions for Network Appliances and Servers
Introduced in the late 1990s, Synchronous DRAM (SDRAM) revolutionized computer performance by replacing earlier asynchronous DRAM designs. System memory (RAM) acts as the temporary workspace between processors and storage devices (SSDs or HDDs) and increasing its bandwidth and capacity has long been one of the most effective ways to boost computing performance.

