Microsoft: Project Solara & the Agentic Operating Plane for the Non-NVIDIA World

Microsoft Project Solara

At its recent Build 2026 event, Microsoft introduced Project Solara, a chip-to-cloud platform built specifically for devices whose primary interface is an AI agent. Solara runs on the Microsoft Device Ecosystem Platform (MDEP), a lightweight operating system built on AOSP that hosts an Agent Shell capable of dynamically loading and tailoring cloud-based agents, paired with […]

Computex 2026: AI Infrastructure, the PC Wars, and the New Connectivity Arms Race

Computex 2026

Computex has historically been a client- and consumer-focused event, but those markets now take a back seat to enterprise infrastructure and the components that define an AI factory. The key messages were all AI, all the time.

The keynotes were entirely semiconductor-first, with talks by three chip CEOs: Jensen Huang of NVIDIA, Cristiano Amon of Qualcomm, Lip-Bu Tan of Intel, and Matt Murphy of Marvell. Each painted a slightly different picture about where the AI buildout is headed.

Google Cloud: 8th-Generation TPU Family Splits Training and Inference

AI Abstract

At Google Cloud Next 2026, Google unveiled its 8th-generation Tensor Processing Unit (TPU) family, splitting its custom silicon lineup into two purpose-built architectures for the first time.

The TPU 8t targets large-scale model training, emphasizing compute throughput and scale-up bandwidth, while the TPU 8i addresses inference and reasoning workloads, emphasizing memory bandwidth and low-latency communication.

Research Note: Microsoft Azure Maia 200 Inference Accelerator

Microsoft Azure Maia 200

Microsoft recently announced its second-generation custom AI accelerator, the Maia 200. The new chip is an inference-optimized alternative to third-party GPUs in its Azure infrastructure. The company says the accelerator delivers 30% better performance per dollar than existing Azure hardware while supporting OpenAI’s GPT-5.2 models and Microsoft’s own synthetic data generation workloads.

Call Notes: Q4 Semiconductor Tracker

Microsoft Azure Cobalt 100

We’re in a moment that’s less about individual chip performance and more about processing-at-scale. It’s all about sprawling AI racks, optics, interconnect, and custom silicon hungry for scale, speed, and a story.