At GTC 2026, Jensen Huang’s real message wasn’t about hardware. It was about inference, agents, and Nvidia’s attempt to ...
FriendliAI — founded by the researcher behind continuous batching, the technique at the core of vLLM — is launching ...
Nvidia Corp (NASDAQ:NVDA, XETRA:NVD) is expected to unveil a broader suite of specialized artificial intelligence chips and networking technologies at its flagship developer conference next week, ...
Adding big blocks of SRAM to collections of AI tensor engines, or better still, a waferscale collection of such engines, turbocharges AI inference, as has been shown time and again by AI upstarts ...
Much of the conversation around AI today is focused on building cloud capacity and massive data centers to run models. Companies like Apple and Qualcomm are in the early stages of making on-device AI ...
Cloudflare has released the Agents SDK v0.5.0 to address the limitations of stateless serverless functions in AI development. In standard serverless architectures, every LLM call requires rebuilding ...
Illustration: Kelsea Petersen / The Athletic; Takashi Ayoma / Getty, Antonio Calanni / AP Formula 1’s car design revolution for 2026 is the biggest in a generation. Not only are the chassis designs ...
The creators of the open source project vLLM have announced that they transitioned the popular tool into a VC-backed startup, Inferact, raising $150 million in seed funding at an $800 million ...
If GenAI is going to go mainstream and not just be a bubble that helps prop up the global economy for a couple of years, AI inference is going to have to come down in price – and do so faster than it ...
Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...
“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 ...
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