The story so far: In 1999, California-based Nvidia Corp. marketed a chip called GeForce 256 as “the world’s first GPU”. Its purpose was to make videogames run better and look better. In the 2.5 ...

Axelera AI is a Netherlands-based technology company that specializes in high-performance, cost-effective hardware and software for AI inference at the edge. Here's what investors should know.

Cost control is a major priority for streaming services today. Video providers need smarter architectures that enable resources to be optimized, unnecessary costs prevented, alongside better use of ...

​If Nvidia integrates Groq’s technology, they solve the "waiting for the robot to think" problem. They preserve the magic of AI. Just as they moved from rendering pixels (gaming) to rendering ...

As the CGT market evolves, developers must answer one key question that will shape their manufacturing strategy: “Should we go with a modular platform or a fully integrated system?”  Both approaches ...

Enabling quicker research, development, and production for upstream bioprocessing through scale out Like the cells they culture, bioreactors come in various shapes, sizes, and specialties. While they ...

Q4 2025 Earnings Call February 17, 2026 7:01 PM ESTCompany ParticipantsKevin Gallagher - MD, CEO & DirectorLachlan Harris - ...

But knowledge gives us power—to separate facts from fears, speculation from reality, and worst-case scenarios from more likely outcomes. And this is my topic for today. What we know about AI, what ...

Demand for data center chips is not slackening.

Company Announcement no. 03/2026 cBrain delivers a solid EBT margin of 22% and increases dividends by 56% Copenhagen, February 19, 2026 cBrain is paving the way for a new type of enterprise software ...

cBrain maintains solid earnings, with earnings before tax (EBT) of DKK 56m, corresponding to an EBT margin of 22%. This is above our December 22, 2025, expectation of approximately DKK 45m, ...

As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?