The Sub-2nm Paradox


Key Takeaways: Process variation and physics are changing semiconductor design, manufacturing, and economics at 2nm and below. Even though new manufacturing processes are being introduced, it's taking longer for them to mature. The focus for many chip designs is faster data movement and more efficient computing, rather than just relying on more transistors per mm2. At 2nm an... » read more

Chip Industry Week In Review


Acquisitions and business pivots Teradyne acquired Israel-based TestInsight, a semiconductor test provider with pattern conversion, validation, and virtual test capabilities. Credo plans to acquire DustPhotonics, a developer of silicon photonics PICs for optical transceivers. Molex plans to acquire Teramount, a provider of detachable, passive-alignment fiber-to-chip connectivity solu... » read more

Startup Funding: Q1 2026


The new year started off with a bang for private semiconductor companies, with 18 garnering mega funding rounds exceeding $100 million, and two, Rapidus and Cerebras, reaching the $1 billion mark. Predictably, the vast majority of those are either designing chips primarily for AI inference workloads or attempting to overcome bandwidth limitations by improving interconnects from the chip level t... » read more

Chip Industry Week In Review


Deals IBM and Arm are collaborating on a new dual‑architecture hardware aimed at enterprise AI and data-intensive workloads, using virtualization to boost reliability, security, scalability, and software compatibility. The goal, according to an IBM spokesperson, is to deliver side-by-side deployments of S390x-Linux and Arm-Linux virtual machines in a single kernel-based hypervisor. Nv... » read more

Chip Industry Week In Review


Think tank IAPS' report on AI integrity attacks contends that advanced AI systems must be protected from hidden tampering, backdoors, or unauthorized changes that could alter their behavior or outputs, especially when AI adoption is scaling rapidly, with over 60% of the federal workforce now using AI every day. Geopolitics The U.S. government has drafted new export rules that may give W... » read more

Chip Industry Week In Review


Big Deals and Fundings Rapidus secured US$1.7B in a new funding round from the Japanese government and the private sector to ramp 2nm production by next year. Open AI announced a $110B in new funding, with $30B from Nvidia, $30B from Softbank and $50B from Amazon. In a $100B multi-year deal, Meta will power its AI infrastructure with up to 6GW of AMD's GPUs. SambaNova and Intel ar... » read more

Why Move To 2nm?


Key Takeaways: Scaling digital logic still provides significant benefits, especially lower power. Multi-die assemblies will be the predominant approach, and most of the circuitry will not be 2nm or below. While these systems are inherently more flexible, the number and complexity of tradeoffs required for optimizing PPA/C are increasing. The rollout of 2nm process nodes and ... » read more

Chip Industry Week in Review


Government funding/defunding NIST is terminating funding for the SMART USA Institute, a CHIPS Act research center focused on digital twins, prompting congressional concern that the decision disrupts active awards and weakens U.S. semiconductor R&D commitments. Korea Zinc was awarded $210M in CHIPS Act funding towards a new $6.6B Tennessee advanced smelter and minerals processing facility,... » read more

Chip Industry Week In Review


Breaking news: Nvidia and Synopsys announced a multi-faceted, multi-year deal that includes everything from digital twins to CUDA programming, engineering, and marketing collaboration, and Nvidia's $2B purchase of Synopsys stock. [Updated 12/1] Memory news: Micron is building a $9.6B HBM facility in the city of Higashi-Hiroshima Japan, reports Nikkei. China's ChangXin Memory Technol... » read more

Noise: A Chip Killer


Noise has always been important to communications experts, but it's quickly becoming an issue that every semiconductor designer has to contend with. Some chips already have been compromised. Noise can be defined as any deviation from the ideal that can impact intended functionality. When it comes to semiconductors, that could mean the ability to reliably extract a signal value at the intende... » read more

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