OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, ...
Two systems with identical parameter counts can behave dramatically differently depending on how they are built.
Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
Yes, that simple question is, in the modern Nvidia world that has come to dominate AI training and to a certain extent HPC simulation and modeling, heretical. But given that CPUs are in many cases ...
Real-time system observability for Zephyr RTOS, delivered over SWD. Stop guessing your stack margins and heap health. ZView provides a zero-footprint, high-fidelity visualization of your Zephyr ...
Buffer overflow vulnerabilities have driven remote code execution for decades and keep appearing in critical network ...
OpenAI’s Jalapeño chip signals a deeper push into AI infrastructure, but cost savings and independence from Nvidia still depend on scale.
The variable most organizations are missing isn’t compute — it’s storage purpose-built for AI context, not just data capacity ...
It has been nine years since a Chinese HPC supercomputer was at the top of the High Performance Linpack performance rankings, but as we all know, China did break through the exascale flops barrier at ...
First look: OpenAI is taking the wraps off Jalapeño, a custom "intelligence processor" built with Broadcom to make its large language models cheaper and more efficient to run. The company even used ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results