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.
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 ...
Business Wire

Vultr Launches Cloud Inference to Simplify Model Deployment and Automatically Scale AI Applications Globally

WEST PALM BEACH, Fla.--(BUSINESS WIRE)--Vultr, the world’s largest privately-held cloud computing platform, today announced the launch of Vultr Cloud Inference. This new serverless platform ...
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, ...
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 ...
SiliconANGLE

Red Hat Expands AI offerings with inference server and validated models

Red Hat Inc. today announced a series of updates aimed at making generative artificial intelligence more accessible and manageable in enterprises. They include the debut of the Red Hat AI Inference ...
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 ...