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The Habana® team is excited to be at re:Invent 2022, November 28 – December 1.  We’re proud that Amazon EC2 DL1 instances featuring Habana Labs Gaudi deep learning accelerators are providing an alternative to GPU-based EC2 instances, delivering a new level of performance … Continuer la lecture →

Vy Vo is a research scientist working on deep neural networks in the Brain-Inspired Computing Lab as a part of Emergent AI research at Intel Labs.   Highlights:  The Memory in Artificial and Real Intelligence (MemARI) workshop is scheduled for December 2nd, … Continuer la lecture →

Highlights from Innovation 2022, panel discussion: “Productivity and Performance at Scale.”

Scaling AI/ML deployments can be resource-limited and administratively complex while requiring expensive resources for hardware acceleration. Popular cloud platforms offer scalability and attractive tool sets, but those same tools often lock users in, limiting architectural and deployment choices. With Red Hat® … Continuer la lecture →

The AI for Accelerated Materials Design (AI4Mat) workshop is scheduled for December 2nd, 2022, during the NeurIPS 2022 at the New Orleans Convention Center. 

To the Edge and Beyond’s Gabrielle Bejarano spoke with Intel Product Engineer Sean Williams on how Intel utilizes open-source solutions to overcome the communication hurdles and get industries the data, they need to solve pressing business problems. 

Intel’s Artificial Intelligence (AI) Solutions Group has generated USD 1.3B in business value so far and is exploring ways to scale AI across all of Intel’s business domains.

Today MLCommons® published industry results for their AI training v2.1 benchmark that contained an impressive number of submissions, with over 100 results from a wide array of industry suppliers, with roughly 90% of the entries for commercially available systems, ~10% … Continuer la lecture →

Deploy Models Faster Best Practices: Learn about AI reference kits

One of the key challenges in Large Language Model (LLM) training is reducing the memory requirements needed for training without sacrificing compute/communication efficiency and model accuracy.  DeepSpeed [2] is a popular deep learning software library which facilitates memory-efficient training of large language … Continuer la lecture →