AI product strategies and research topics highlighted at Red Hat Colloquium

Dec 6, 2023 | Boston University, Featured News, News

AI technology is developing so quickly that by the time an enterprise implements a solution, it can easily be out of date. How do you know whether you’re pursuing a sound long-term strategy or just chasing the next shiny thing? In addition, the massive scale of AI workloads costs a lot of time and money, and the complexity of AI confuses many of the users who could benefit from it most. The barriers to full-scale adoption are formidable—but not insurmountable. 

To learn why, check out the recording of “AI Product Strategies and Research Topics,” where Sherard Griffin, Red Hat Senior Director of Engineering for OpenShift AI, discussed the challenges to operationalizing AI for researchers and engineers. The presentation is one of a series of forums sponsored by the Red Hat Collaboratory at Boston University. 

The conversation covered:

  • Supporting deployment of foundation models in the hybrid cloud
  • Tuning for better resource allocation and efficiency
  • Managing the costs of AI at the edge
  • Creating transparency to detect and reduce bias and ensure fairness

Griffin talked about the importance of keeping open source practices at the center of developing AI capabilities and tools and the development of OpenShift AI, for which Boston University was the first customer.

“If there’s anything I want you to walk away with,” Griffin said, “It’s that we need to have things running cheaper and faster, and we have to understand what is going on with AI. To democratize access to AI, models must be cheaper to run, and the lineage of those models must be transparent and fully understandable.”

Learn more

See the presentation slides

Check out Red Hat Research’s portfolio of AI/ML-related projects.

About Sherard Griffin

Sherard Griffin was responsible for the development of Open Data Hub, a community-driven reference architecture for building an AI-as-a-service platform on OpenShift.  He also leads engineering for Red Hat’s OpenShift AI products and services.  

About the Red Hat Collaboratory

A partnership between Red Hat and Boston University, the Red Hat Collaboratory connects BU faculty and students with industry practitioners working in open-source software communities. The Collaboratory aims to advance research focused on emerging technologies in several areas, including operating systems, cloud computing services, machine learning and automation, and big data platforms.

Related Stories

MGHPCC receives $16 million to deploy neutral atom quantum computer

MGHPCC receives $16 million to deploy neutral atom quantum computer

The Massachusetts Green High Performance Computing Center (MGHPCC) has received nearly $5 million from the state of Massachusetts and $11 million from QuEra Computing to create a natural atom quantum computing complex. The MOC Alliance will make the quantum computer...

AI, LLMs, and hybrid cloud get the spotlight at DevConf.US

AI, LLMs, and hybrid cloud get the spotlight at DevConf.US

Members of the Red Hat Research team and several of our collaborators are presenting at DevConf.US at Boston University, held August 14-16, 2024. This is the sixth annual convening of this Red Hat-sponsored technology conference for community projects and professional...

How to find Red Hat Research and our partners at DevConf.CZ 2024

How to find Red Hat Research and our partners at DevConf.CZ 2024

DevConf.CZ 2024 , held June 13-15 in Brno, features a packed agenda with talks on AI and data science, IoT and edge computing, security and cryptography, DevOps, and much more. As usual, many presentations feature the work of Red Hat Research and our research...