News stories tagged with #Arm
Arm Shakes Up Chip Industry with First-Ever AGI CPU for AI Data Centers
Arm has launched its first silicon product, the AGI CPU, marking a strategic shift from IP licensing to direct chip manufacturing. Co-developed with Meta and based on the Neoverse-V3 architecture, the processor features up to 136 cores, 300W TDP, and supports PCIe Gen 6, CXL 3.0, and DDR5-8800. Targeting agentic AI workloads, it is backed by server partners including Lenovo, Supermicro, and ASRock Rack, with systems expected to be available by late 2026.
Lenovo and AMD Advance AI and Edge Computing with New Solutions, Drivers, and Consortium
Lenovo has launched a new generation of AI-driven ThinkEdge solutions, including compact gateways, high-performance edge computers, and its first industrial all-in-one panel PC, enabling localized AI for industrial applications. Meanwhile, AMD has released the VEK385 Evaluation Kit for its Versal AI Edge Series Gen 2, supporting embedded AI, vision, and control systems with 4K/8K video processing, and has published Linux kernel patches to enhance virtual machine security via SEV-SNP BTB isolation. The modern AMD graphics driver in Linux 7.0 has surpassed six million lines of code, making it the largest single driver in the kernel. Additionally, Arm and Linaro have launched the CoreCollective consortium, with founding members including AMD, Google, and Microsoft, to advance open-source development in data centers, edge computing, and confidential computing.
NVIDIA Sells Remaining ARM Stakes: Strategic Move for AI Infrastructure and Agentic AI
NVIDIA has sold its remaining $140 million stake in Arm Holdings to free up capital for future investments in AI infrastructure. This follows the failed $40 billion acquisition in 2020, which was blocked by regulators over competition concerns. While ending its ownership, NVIDIA retains licensing rights to Arm’s IP and instruction set for its Grace and Vera CPUs. The move is less a retreat from Arm and more a strategic diversification to adapt to the evolving demands of the Agentic-AI era, where x86 platforms are increasingly important.