Apple will skip the high-end M6 Mac chips and instead focus on launching the AI-focused M7 series, which includes the M7 Pro, M7 Max, and M7 Ultra. The base M6 processor is still set to debut for entry-level Macs later this year.

OpenAI has unveiled Jalapeño, its first custom-built inference processor developed in collaboration with Broadcom. Early tests indicate that Jalapeño offers significantly better performance-per-watt compared to existing state-of-the-art chips.

Meta has sold millions of camera glasses that utilize artificial intelligence. Silicon Valley executives advocate for these devices as a solution to screen addiction, despite concerns about their practicality and aesthetics.

Robotics research is now accessible to small teams and individuals due to the significant reduction in hardware costs and the availability of foundation models. A research setup featuring an industrial-grade arm, two cameras, and a teleoperation system can be assembled for under €5,000, excluding VAT and compute costs.

The price of 32GB of DDR5 RAM has reached a minimum of $375, driven by increased demand from AI applications. Lower-priced RAM kits are rapidly disappearing from the market as AI continues to strain the PC hardware supply chain.

Gemma 4’s MTP drafters can be quantized and verified on older hardware, specifically a recycled server with 128 GB of DDR3 RAM and an Intel Xeon E5-2620 v4 CPU from 2016. Despite the server's lower performance compared to modern laptops, it is capable of running complex AI tasks.

Tesla has agreed to acquire an unnamed AI hardware company for up to $2 billion in stock and equity awards, as disclosed in its Q1 2026 10-Q filing. This information was included in Note 14 — Subsequent Events, without mention in the shareholders’ letter or earnings call.

A new memory architecture using single-layer fluorographane can achieve 447 terabytes per square centimeter with zero retention energy. This innovation aims to address the widening gap between processor throughput and memory bandwidth, exacerbated by increased AI demand and a NAND flash supply crisis.

TurboQuant compresses the KV cache in AI applications, improving efficiency without sacrificing accuracy. This innovation addresses the challenges of HBM density penalties and DRAM price pressures in the AI memory landscape.

Arm has announced the Arm AGI CPU, a new class of production-ready silicon built on the Arm Neoverse platform, aimed at enhancing AI infrastructure. This marks Arm's first foray into delivering its own silicon products, expanding the options for customers deploying Arm compute.