Rafay Systems targets the operating layer of the AI infrastructure boom
The AI infrastructure market is moving through a critical transition. The first phase was about acquiring graphics processing units and standing up capacity. The next phase is about turning that expensive hardware into a secure, reliable and profitable cloud service.
Key Takeaways
- Rafay Systems CEO Haseeb Budhani explains how software, security and orchestration help providers monetize AI infrastructure faster.
UPDATED 22:12 EDT / AUGUST 03 2026 AI Rafay Systems targets the operating layer of the AI infrastructure boom by John Furrier The AI infrastructure market is moving through a critical transition.
- AI infrastructure is expensive, depreciates quickly and must begin generating returns as soon as possible.
"End of the day, the thing that matters most is faster time to market and a better user experience," Budhani said.
- If you can't do that, you're not a cloud.
" That distinction matters because many emerging AI providers are still building the operational capabilities that Amazon Web Services Inc.
- "The right AI cloud in this day and age, they do all of these things," Budhani said.
"It's not just about bare metal or not just about Kubernetes or VM or tokens.
- Countries and regions increasingly want local infrastructure that keeps data and computing resources closer to home.
Rafay Systems CEO Haseeb Budhani explains how software, security and orchestration help providers monetize AI infrastructure faster. UPDATED 22:12 EDT / AUGUST 03 2026 AI Rafay Systems targets the operating layer of the AI infrastructure boom by John Furrier The AI infrastructure market is moving through a critical transition. The first phase was about acquiring graphics processing units and standing up capacity.
The next phase is about turning that expensive hardware into a secure, reliable and profitable cloud service. That is where Rafay Systems Inc. In my recent conversation with Haseeb Budhani (pictured), co-founder and chief executive officer of Rafay Systems, we examined the operational pressure facing neoclouds, sovereign cloud providers, telecommunications companies and enterprises as they deploy increasingly large AI systems.
Providers are buying infrastructure at massive scale, often with customers already waiting for capacity. But buying GPUs does not create a cloud. Operators still need orchestration, networking, security, multitenancy, observability, auditing and a developer experience that lets customers consume infrastructure without a lengthy manual process.
For more details please read the original article at SiliconANGLE AI.
Continue Learning
Comments
Sign in to join the conversation