The team behind continuous batching says your idle GPUs should be running inference, not sitting dark

FriendliAI — founded by the researcher behind continuous batching, the technique at the core of vLLM — is launching InferenceSense, a platform that fills idle neocloud GPU capacity with paid AI ...
EurekAlert!

ELFI: Engine for Likelihood-Free Inference facilitates more effective simulation

The Engine for Likelihood-Free Inference is open to everyone, and it can help significantly reduce the number of simulator runs. Researchers have succeeded in building an engine for likelihood-free ...
VentureBeat

Pipeshift cuts GPU usage for AI inferences 75% with modular interface engine

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now DeepSeek’s release of R1 this week was a ...
Android Authority

Qualcomm launches its new AI Engine, works on existing Snapdragon processors

Most mobile Machine Learning (ML) tasks, like image or voice recognition, are currently performed in the cloud. Your smartphone sends data up to the cloud where it is processed and the results are ...
PC Magazine

AI training vs. inference

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, ...
Semiconductor Engineering

Inference Moves To The Network

Machine-learning inference started out as a data-center activity, but tremendous effort is being put into inference at the edge. At this point, the “edge” is not a well-defined concept, and future ...
EDN

A Breakthrough in FPGA-Based Deep Learning Inference

Mipsology’s Zebra Deep Learning inference engine is designed to be fast, painless, and adaptable, outclassing CPU, GPU, and ASIC competitors. I recently attended the 2018 Xilinx Development Forum (XDF ...