Trend Blogs

AI compute can scale only as fast as reliable power can be delivered. Transformer lead times, grid interconnection and grid-to-rack architectures are shifting investment attention toward the...

CPO has crossed into early production, but broad AI-network adoption will depend on manufacturing yield, field reliability, serviceability, interoperability, and total cost...

DeepSeek and Huawei are opening key layers of the Ascend software stack. The strategic test is whether portability, tools and production evidence can follow...

Humanoid robotics is moving from demonstrations to measurable deployment. The real test is independent demand, sustained runtime, repeat orders and viable service economics...

AI is shifting semiconductor value creation toward the package. Chiplets, HBM, hybrid bonding, substrates, test, yield and thermal integration are becoming critical determinants of usable performance...

Advanced AI packaging depends on qualifying equipment, materials and test methods together. Taiwan’s Baipu cluster makes that hidden scaling constraint visible...

Robot Data Factories: The Missing Infrastructure for Physical AI Physical AI may be constrained less by model size than by the supply of validated robot experience. A new infrastructure concept—the...

Anthropic’s Model Hardware Standard could reduce the cost of connecting AI agents to laboratory and industrial equipment. Early pilots are promising, but safety, conformance and integration with...

AI infrastructure is becoming a constraint-stack problem: a finished GPU die is not deployable compute until enough high-bandwidth memory is available, qualified and integrated through advanced...

Europa brings Axelera's edge-first inference architecture to server cards. Its commercial test is whether system-level performance and software portability match the silicon promise...