The AI boom shows no signs of slowing, but while training gets most of the headlines, it’s inferencing where the real business impact happens. Every time a chatbot answers, a fraud alert triggers or a ...

AI development is less about building a model from scratch these days and more about picking, integrating and running the ...

AI training could be suited for centralized cloud infrastructure. However, inference presents a different case. The data is already in motion—coming from cameras, factory sensors, point-of-sale ...

Qualcomm’s AI200 and AI250 move beyond GPU-style training hardware to optimize for inference workloads, offering 10X higher memory bandwidth and reduced energy use. It’s becoming increasingly clear ...

Head over to our on-demand library to view sessions from VB Transform 2023. Register Here A grand challenge in AI is developing a conversational system that can reliably understand the world and ...

Chipmakers are getting ready to debut inference chips for endpoint devices, even though the rest of the machine-learning ecosystem has yet to be established. Whatever infrastructure does exist today ...

A food fight erupted at the AI HW Summit earlier this year, where three companies all claimed to offer the fastest AI processing. All were faster than GPUs. Now Cerebras has claimed insanely fast AI ...

“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 ...

Gimlet Labs Inc., a startup that helps developers speed up their inference workloads, has raised $300 million in funding at a ...