Frontiers

Numerical foundations for scalable statistical and machine learning methods

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
VentureBeat

How Snowflake's open-source text-to-SQL and Arctic inference models solve enterprise AI's two biggest deployment headaches

Snowflake has thousands of enterprise customers who use the company's data and AI technologies. Though many issues with generative AI are solved, there is still lots of room for improvement. Two such ...
Forbes

The Rise Of The AI Inference Economy

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. When OpenAI’s ChatGPT first exploded onto the scene in late 2022, it sparked a global obsession ...
Forbes

The Inference Economy: How Sparse Computing And Model Optimization Are Reshaping Enterprise AI Deployment

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...
Datacenter Dynamics

The inference lattice: One option for how the AI factory model will evolve

The centralized mega-cluster narrative is seductive – but physics, community resistance, and enterprise pragmatism are conspiring to scatter AI compute across a distributed lattice of specialized ...
Business Wire

Hugging Face Partners with Cerebras to Give Developers Access to Industry’s Fastest AI Inference for Open-Source Models

SUNNYVALE, Calif.--(BUSINESS WIRE)--Cerebras and Hugging Face today announced a new partnership to bring Cerebras Inference to the Hugging Face platform. HuggingFace has integrated Cerebras into ...
Semiconductor Engineering

Securing AI/ML Training And Inference Workloads

AI/ML can be thought about in two distinct and essential functions: training and inference. Both are vulnerable to different types of security attacks and this blog will look at some of the ways in ...