SAN FRANCISCO, Aug. 16, 2026 /PRNewswire/ -- ScitiX unveiled the full scope of its production inference platform, purpose-built for enterprises running AI at scale. As organizations move from ...

As agents reason, replan, call other agents, and work continuously in the background, Gartner predicts inference costs per workflow will rise more than fivefold through 2028.

Now, it’s worth noting Stock Advisor’s total average return is 965 % — a market-crushing outperformance compared to 215% for ...

Cerebras is well-positioned for a shift toward smaller, faster AI models that prioritize inference speed and memory ...

Infinity (Infinity Artificial Intelligence Institute), an early-stage AI infrastructure research company building the software layer that makes any AI chip inference-ready, today announced a new case ...

Here is what changes when you cannot afford to be probabilistic about everything, and how a cascade architecture solves it.

You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...

Model inversion and membership inference attacks create unique risks to organizations that are allowing artificial intelligences to be trained using their data. Companies may wish to begin to evaluate ...

Today, Community Labs is launching Cascadia, a distributed AI inference runtime for Intel hardware. Developed in collaboration with Intel, Cascadia allows organizations to turn their existing ...