Enterprises are increasingly moving AI workloads to private clouds, a new study shows. Security, compliance, and cost are the ...

While most investors focus on AI training, the long-term opportunity may be in AI inference—the process of actually running ...

According to Perplexity, its upcoming hybrid AI system can automatically route tasks between on-device and cloud models, ...

Matrix, the pioneer in low-latency AI inference for data centers, today announced its Corsair™ inference accelerator platform ...

There's a new challenger to Nvidia that says its chip can run AI inference at ten times the speed of a standalone GPU. The ...

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 ...

Just when investors may have gotten a firm grasp on artificial intelligence (AI), the game is changing again. According to Deloitte Global's TMT Predictions 2026 report, inference will account for two ...

Nvidia just paid $20 billion for Groq's inference technology in what is the semiconductor giant's largest deal ever. The question is: Why would the company that already dominates AI training pay this ...

NVIDIA leads AI infrastructure with Blackwell and CUDA driving adoption and moat. Click here to read an analysis of NVDA ...

As demand for AI computing explodes, the bottleneck is shifting from chips to powered, ready-to-use data center capacity.

Memory is going to play a central role in AI inference workloads, and that's great news for Micron Technology and Sandisk investors.

SA emerging as global AI inference powerhouse By Admire Moyo, ITWeb news editorJohannesburg, 08 Jun 2026Dean Wolson, general manager of Lenovo Infrastructure Solutions Group Southern Africa. South ...