The simplest definition is that training is about learning something, and inference is applying what has been learned to make predictions, generate answers and create original content. However, ...

The software in an AI system that does processing for the user. A peculiar name for sure; however, the inference term dates back to very early AI systems and it has not gone away. Also called "AI ...

The shift from training-focused to inference-focused economics is fundamentally restructuring cloud computing and forcing ...

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 ...

Inference is rapidly emerging as the next major frontier in artificial intelligence (AI). Historically, the AI development and deployment focus has been overwhelmingly on training with approximately ...

AMD is strategically positioned to dominate the rapidly growing AI inference market, which could be 10x larger than training by 2030. The MI300X's memory advantage and ROCm's ecosystem progress make ...

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 ...

Simplismart has announced the launch of its optimized AI inference platform built on NVIDIA infrastructure, designed for ...