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 ...
Nature

Bayesian Inference and Statistical Inverse Problems

Bayesian inference provides a robust framework for combining prior knowledge with new evidence to update beliefs about uncertain quantities. In the context of statistical inverse problems, this ...
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, ...
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.
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 ...
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 ...
SDxCentralOpinion

The 5 dysfunctions of a high-performance AI cluster

At the center of this gap are five systemic dysfunctions that reinforce one another: communication bottlenecks, memory ...
Business Wire

AWS and Cerebras Collaboration Aims to Set a New Standard for AI Inference Speed and Performance in the Cloud

Fastest inference coming soon: AWS and Cerebras are partnering to deliver the fastest AI inference available through Amazon Bedrock, launching in the next couple of months. Industry-leading speed and ...