by Karl Freund | Jun 1, 2026 | In the News
AI silicon complexity is outpacing engineering scale—even at NVIDIA’s headcount. Autonomy is becoming existential, not a nice-to-have. And EDA vendors are rusing in to fill that need. In February, Cadence Design rocked the chip world by announcing they had developed...
by Karl Freund | May 14, 2026 | In the News
Late last year, I wrote a Forbes piece about IBM, the leader in quantum computing using superconducting circuits, and promised an update on other modalities. This is the first follow-on piece and explores neutral-atom (NA) quantum, which operates at room temperature,...
by Karl Freund | Apr 6, 2026 | In the News
AMD, Nvidia and Intel participated in the most recent round of MLPerf inference benchmarks. While I was surprised that Google didn’t participate with their new Ironwood TPU, there is still plenty to talk about. This particular round of MLPerf benchmarks makes it...
by Karl Freund | Mar 23, 2026 | In the News
Donning his signature black leather jacket, Nvidia Founder and CEO Jensen Huang once again wowed his fans, totaling over 30,000 in the San Jose’s SAP Arena, with dazzling technology and extreme claims, including the company’s first post-GPU product. Agentic AI took...
by Karl Freund | Feb 24, 2026 | In the News
The AI hardware market looks a lot different today than it did yesterday, thanks to the introduction of the Taalas Hardcore AI architecture. Founded two and a half years ago, Taalas has developed a platform for transforming any AI model into custom silicon, hardening...
by Karl Freund | Feb 10, 2026 | In the News
The semiconductor industry has been applying AI to accelerate chip design for over three years, achieving 10X productivity gains and focusing primarily on tasks that now seem relatively easy, such as floor-plan optimization using massive recurrent neural networks. But...
