AI may be the talk of the town, but Red Hat is betting big and believes that adding open source to the mix will be what moves the needle.
That was the message attendees got from the opening keynote at this year’s Red Hat summit as the firm’s president and CEO Matt Hicks took to the stage to unveil some big news and generate excitement around how its customers and partners can get on board.
“This year’s summit is going to hone in on the intersection of open source and AI and the incredible impact that happens when we combine those two. It’s hard to even describe just how much AI has advanced since last summer. We said it was ‘the moment of AI’ and for those of us trying to keep track of the changes, it’s been a long moment,” Hicks said.
“The rate of innovation has only accelerated. It is every month, every week, every hour at this point. But in all the advancements, the most interesting thing that has happened to AI over the last year has been the explosion of choices. What used to be only achievable in trillion parameter models is now being replicated in models orders of magnitude. Capabilities that just a year ago were coupled to high-end, fairly exotic hardware can now run on a laptop. Training techniques that once ran in the hundreds of millions of dollars are now being replicated for a few thousand.”
An open source education
Looking back two decades ago, academic breakthroughs took an age, according to Hicks who said “The rule of thumb, I would often say, was about 10 years to never.”
This was because the pace at which academia and software were working were massively at odds. It made it almost impossible to find a “meaningful intersection” between the two worlds. That all changed when academia embraced open source, according to Hicks.
“These days it feels like we go from breakthrough to model in a week,” he said. “The capabilities in AI are being developed by some of the best academic researchers on the planet. And open source gives them a channel for their work.”
Myriad press announcements hit today, a heady mix of product, customer and partner news. Not all were AI-focussed, but the topic definitely dominated and with good reason as it’s a solid direction of travel for Red Hat.
Key highlights in the news lineup included the launch of:
- Red Hat Enterprise Linux AI (RHEL AI), which is now available as a developer preview.
- RHEL Lightspeed, which will infuse GenAI capabilities across the firm’s Linux and hybrid cloud applications and platforms to help reduce complexity and increase efficiency when it comes to computing tasks.
- Image mode for RHEL, which is now available as a technology preview in RHEL 9.4.
- Podman AI Lab which extends on the capabilities of Podman Desktop and enables developers to make use of an intuitive GUI to create, test and then run GenAI-powered apps in containers.
- Instruct Lab, an open source initiative created by Red Hat in collaboration with IBM Research, designed to enhance LLMs that are used in GenAI apps. The hope being that barriers to entry will be removed so almost anyone can get involved.
Open for AI business
Red Hat has already done a lot to help realize the promise of AI. But there is still much more to be done. The company realizes it cannot do this alone. Indeed, as is the open source way, community, collaboration, cooperation and, at times, coopition that will enable Red Hat to turn theory into reality when it comes to turning AI theory into reality.
“AI won’t be built by a single vendor. It isn’t going to revolve around a single monolithic model. Your choice of where to run AI will be everywhere and it’s going to be on open source,” Hicks added.
“When I saw Meta take the first step into the open source arena with their Llama model, making it accessible to the world, it was a tectonic shift. Then I witnessed Mistral expand on that by releasing a model under the Apache license, allowing unhindered use of what they released. And I’ve watched Hugging Face aggregating the data and models to allow research scientists to iterate on this.”
He continued: “Today, I am very proud to announce that Red Hat is going to add the next link in the chain of open source contributions. We believe in the power of open to drive innovation. That means open licensing, open data, and open contributions.”
While on stage Hicks reminisced about his start in the industry and his work as a Linux administrator. He said that his passion for tech has been “reinvigorated by seeing what AI can do,” something he said he believes he has in common with the Summit audience.
“I feel fortunate to be experiencing the convergence of open source and AI and am proud to be contributing to it… I know you are all at different points in your AI journey. That’s the good thing. There is no set in state end date,” he said.
“Every organization is trying to determine what is real for the industry and what is real for them. Wherever you are, Red Hat can reach you…Let’s show the world what we can do with open source AI.”
