Nvidia said its Groq 3 LPX inference accelerator is now in full production, a move that could speed up agentic AI systems used worldwide for coding, reasoning, and other tasks. The company said the platform is designed to improve responsiveness, lower latency, and support growing demand for real-time AI applications.

SpaceXAI plans to deploy Nvidia's new Vera CPUs to speed up agentic AI workloads, a move that could influence how advanced AI systems are built and run worldwide. The partnership also extends toward orbital computing, signaling a broader shift in where future AI infrastructure may be located.

In an August 24 press release, IBM announced that it is developing the first dual-architecture mainframe processor, a move that could let global enterprises run Arm-native and IBM workloads on the same future systems. The milestone may broaden software choices, accelerate AI adoption, and reshape mission-critical computing for banks, governments, and large cloud operators worldwide.

Inergy Technology said strong demand for AI server cooling and power management pushed the share of server-related applications to 47% of revenue in the second quarter of 2026, with shipments of system-on-chip (SoC) cooling fan driver ICs set to ramp up in the second half of 2026 and battery backup unit (BBU) demand expected to keep rising as AI moves toward high-voltage direct current power architectures.

Nvidia's AI memory orders helped drive a sharp split between SK Hynix and Samsung Electronics in the first half of 2026. According to Chosun Biz, Nvidia became SK Hynix's biggest customer in the first half of 2026, while it did not rank among Samsung's top five revenue sources.