At DevSparks 2026 in Bengaluru, Ramprakash Ramamoorthy, Director of AI Research at Zoho Corp, explained how open-weight ...

The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses a challenge for real-world applications that use ...

The origin story of this young AI chipmaker’s name captures its ambitious goals. “Everybody's looking for an alternative to ...

“I get asked all the time what I think about training versus inference – I'm telling you all to stop talking about training versus inference.” So declared OpenAI VP Peter Hoeschele at Oracle’s AI ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. AI has a shiny front end. As everyone who’s used an ...

While Chinese chipmakers have found success in supporting AI inference, they are struggling with the far more complex process ...

After years of pursuing ever-larger models, AI leaders are increasingly focused on efficiency, adaptability, and the rising ...

Unlike flexible GPUs or general-purpose ASICs, it embeds the full model, parameters, and weights into hardware, eliminating much of the overhead associated with loading and processing models ...

According to the AFL executive, rising compute demand is being matched by growing bandwidth requirements across AI-scale networks.

Microsoft’s new Surface RTX Spark Dev Box packs Nvidia Blackwell AI power and 128GB of unified memory to run large AI models locally, helping developers cut cloud costs and rethink enterprise AI ...