Hardware

At Google Cloud Next, Google unveiled two new TPU generations — 8t for training and 8i for inference — and opened Gemini Enterprise Agent Platform with Model Garden access to 200+ models. The clearest direct shot at Nvidia's AI-compute moat Google has taken yet.

Antioch lets robot builders spin up digital instances of their hardware with simulated sensors, compressing hardware iteration cycles from weeks to hours. An under-the-radar name worth watching as robotics catches up to software tooling.

After years of software dominance, capital is shifting toward robotics, physical infrastructure, and hardware integration. The buildout mirrors 19th-century railroad investment—excess capacity unlocks unseen uses.

Cognichip is building deep learning models to assist chip design engineers, claiming 75% cost reduction and 50% faster timelines. The $60M round bets that AI can eat its own supply chain.

NVIDIA poured $2B into Marvell to accelerate NVLink Fusion chip interconnection technology, doubling down on the networking layer that makes multi-GPU clusters work.

Meta's MTIA chip family — the 300, 400, 450, and 500 — is rolling out across its AI infrastructure, reducing reliance on external GPU suppliers.