Nvidia is investing $5 billion in Intel via a common stock purchase at $23.28 per share, which translates to about a 4 percent stake. The companies plan to collaborate across multiple projects, developing custom data center and PC products to accelerate applications and workloads across the hyperscale, enterprise and consumer markets. Nvidia’s NVLink will be used to connect the architectures, integrating Nvidia’s GPUs with Intel’s CPU technologies. For data centers, Intel will customize x86 CPUs that Nvidia can integrate into its AI platforms. Intel also plans to build x86 SOCs that integrate Nvidia RTX GPU chiplets for PCs. Continue reading Nvidia Invests $5 Billion in Intel with Plans for AI Infrastructure

Meta Platforms has reportedly begun “a small deployment” of its first in-house chip designed for AI training. The accelerator chip is engineered around the open-standard RISC-V architecture. TSMC produced the working samples now being tested. The goal is to create purpose-specific chips that are more efficient than Nvidia’s general purpose GPUs, enjoying the cost-savings that would come with wide use and reducing reliance on outside chip suppliers in a tight market. If the tests go well, Meta plans to scale up production for expanded use by 2026. Details of the new chip’s specifications remain unknown at this time. Continue reading Meta Tests New AI Accelerator Chip Designed with Broadcom