The shift from training-focused to inference-focused economics is fundamentally restructuring cloud computing and forcing ...
FriendliAI also offers a unique take on the current memory crisis hitting the industry, especially as inference becomes the dominant AI use case. As recently explored by SDxCentral, 2026 is tipped to ...
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 ...
Most organisations will never train their own artificial intelligence (AI) models. Instead, most customers’ key challenge in AI lies in applying it to production applications and inference, with ...
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 ...
How Siddhartha (Sid) Sheth and Sudeep Bhoja are building the infrastructure behind the next wave of artificial intelligence ...