Startup Gimlet Labs is solving the AI inference bottleneck in a surprisingly elegant way

Gimlet Labs just raised an $80 million Series A for tech that lets AI run across NVIDIA, AMD, Intel, ARM, Cerebras and ...
Ventureburn

Gimlet Labs Raises $80M to Transform AI Inference Infrastructure

Gimlet Labs raises $80M in Series A funding to tackle the AI inference bottleneck with a new multi-silicon cloud platform.

AWS And Microsoft Are Borrowing What Google Already Built

AWS partnered with Cerebras. Microsoft licensed Fireworks. Google built Ironwood. One week of announcements reveals who ...
Network World

Arrcus targets AI inference bottleneck with policy-aware network fabric

As AI workloads shift from centralized training to distributed inference, the network faces new demands around latency requirements, data sovereignty boundaries, model preferences, and power ...
TheStreet.com

Inference Isn’t A Problem. To Democratize AI, We Need To Cut The Costs Of Data Access

“The rapid release cycle in the AI industry has accelerated to the point where barely a day goes past without a new LLM being announced. But the same cannot be said for the underlying data,” notes ...
Communications of the ACMOpinion

Inference at the Edge Is a Sovereignty Problem, Not a Latency Problem

The edge inference conversation has been dominated by latency. Read any survey paper, attend any infrastructure conference, ...
Princeton University

Inference in Nonstandard Problems

Paper: "Robust Nonparametric Bias-Corrected Inference in the Regression Discontinuity Design", (joint work with Sebastian Calonico and Rocio Titiunik).
Forbes

The Current And Future Path To AI Inference Data Center Optimization

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. We are still only at the beginning of this AI rollout, where the training of models is still ...