InfoWorld

Multi-token prediction technique triples LLM inference speed without auxiliary draft models

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

The Inference Ceiling: Managing The Marginal Costs Of AI

The unbridled hype of the mid-2020s is finally colliding with the structural and infrastructure limits of 2026.
GIGAZINE

Anthropic tests its inference model using its own Claude 3.7 Sonnet and DeepSeek-R1 software to determine if the model's output 'thought content' is mismatched with the actual ...

Some large-scale language models have a function called 'inference,' which allows them to think about a given question for a long time before outputting an answer. Many AI models with inference ...
The Motley Fool

What Is AI Inference?

AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...
The Next Platform

Taalas Etches AI Models Onto Transistors To Rocket Boost Inference

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 ...
Semiconductor Engineering

ResNet-50 Does Not Predict Inference Throughput For MegaPixel Neural Network Models

Customers are considering applications for AI inference and want to evaluate multiple inference accelerators. As we discussed last month, TOPS do NOT correlate with inference throughput and you should ...
ZDNet

Nvidia doubles down on AI language models and inference as a substrate for the Metaverse, in data centers, the cloud and at the edge

Machine learning, task automation and robotics are already widely used in business. These and other AI technologies are about to multiply, and we look at how organizations can best take advantage of ...