Chip Industry Startup Funding: Q3 2025


The third quarter of 2025 was dominated by massive rounds for companies developing AI chips and quantum computers. Over $2.5 billion went to AI, with wafer-scale chip maker Cerebras leading the pack with a $1.1 billion raise. While several edge AI companies received backing, the quarter saw a marked shift towards solutions for the data center as firms seek to reduce the cost and power consumpti... » read more

Chip Industry Week in Review


Samsung and SK hynix joined OpenAI's Stargate initiative to ensure there will be enough memory chips to meet the needs of AI data centers. The goal is to produce up to 900,000 DRAM wafer starts per month. OpenAI also inked agreements to explore the development of next-gen data centers in Korea. Axcelis Technologies (ion implantation systems) will merge with Veeco Instruments (compound semic... » read more

Chip Industry Week In Review


U.S. Trade Representative Jamieson Greer warned Southeast Asian semiconductor manufacturers that they must shift production to the U.S. or face new punitive tariffs, reports the South China Morning Post. President Trump previously floated a 100% tariff on imported chips. Malaysia and other regional economies are offering large concessions and promises of U.S. goods purchases in hopes of securin... » read more

Chip Industry Week in Review


Amkor, TSMC, and Cadence partnered with Tesoro VC, which will serve as the lead operator of a new Global AI + Semiconductor Startup Hub and a Global Design Center in Phoenix, Arizona, aimed at chip innovation, startup growth, and advanced manufacturing. Nvidia will invest $5 billion in Intel common stock at a purchase price of $23.28 per share and the companies will collaborate on AI infrastru... » read more

Chip Industry Week in Review


The U.S. is considering annual approvals for Samsung and SK hynix to export chipmaking tools and materials to their factories in China, replacing perpetual waivers granted under the validated end user system, reports Bloomberg. The proposal, presented by the U.S. Commerce Department to South Korean officials, would require the companies to reapply each year for specific quantities of restricted... » read more

Coloring Optical Signals For More Bandwidth In Data Centers


Copper cabling has been the workhorse for moving data inside of AI and HPC data centers, but fiber is nipping at its heels. Optics brings three possible bandwidth multipliers — wavelength-division multiplexing (WDM), the use of different modes, and polarization. Each has a role in longer-distance optical links, but the tradeoffs are different in the data center. WDM appears poised to boost... » read more

What Do LLMs Want from Hardware


Figure 1: Noam Shazeer, Google Gemini vice president, presented this in his Hot Chips 2025 talk. Noam Shazeer is Google’s vice president of engineering for Gemini, their LLM competitor to ChatGPT. He talked recently at Hot Chips: “Predictions for the Next Phase of AI." He has worked on LLMs for a decade since inventing the transformer model in 2017. As his slide says, LLMs can take adv... » read more

Chip Industry Technical Paper Roundup: Sept 2


New technical papers recently added to Semiconductor Engineering’s library: [table id=469 /] Find more semiconductor research papers here. » read more

Chip Industry Week in Review


Microsoft, OpenAI, and NVIDIA warned about power swings and physical damage to power grids increasing from AI training workloads and jointly proposed a multi-pronged approach to stabilize power in AI training data centers. Meanwhile, Anthropic issued a warning about the weaponization of agentic AI in a new 25-page Threat Intelligence report. Key concerns involve the evolution in AI-assisted ... » read more

Power Stabilization To Allow Continued Scaling Of AI Training Workloads (Microsoft, OpenAI, NVIDIA)


A new technical paper titled "Power Stabilization for AI Training Datacenters" was published by researchers at Microsoft, OpenAI, and NVIDIA. Abstract "Large Artificial Intelligence (AI) training workloads spanning several tens of thousands of GPUs present unique power management challenges. These arise due to the high variability in power consumption during the training. Given the synchron... » read more

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