Concentrated AI development among major tech companies favors custom silicon, while broader distribution benefits NVIDIA’s general-purpose GPUs. Recent developments support both scenarios.

NVIDIA used SIGGRAPH 2025 to introduce two new additions to its professional graphics card range—both based on the latest Blackwell architecture. The new models, the RTX PRO 4000 Small Form ...

According to the TIOBE Programming Community index, the following are the top 10 programming languages in August 2025. Python: A general-purpose programming language commonly used for back-end ...

TechSpot's History of the GPU The modern graphics processor has become one of the largest, most complex, and most expensive components found in almost any computing device. From the early VGA days ...

Today, Boston Dynamics and Toyota Research Institute (TRI) announced a big step forward in robotics and artificial intelligence research: demonstrating a Large Behavior Model (LBM) powering the ...

“A lot of conversation in the last 15 years was about general-purpose GPUs, which are commercially successful, and CGRAs (course-grained reconfigurable arrays), which are less successful in the ...

Over the long run, custom silicon could reduce demand for Nvidia's general-purpose GPUs for AI training and inference, at least among the tech giants.

Having a stock you own get acquired at a premium feels good at first, but what about the long-term gains that will be left behind when your chips are off the table?

After 12 months of managing the Oshkosh Arena, VenuWorks management aims to expand the arena's programming outside of basketball.

The D_1 chip that was the core of Dojo wasn't just a general purpose GPU. It had a massive parallel design, but it was application specific. It was supposed to cut training times.