In the latest episode of “The VMAccel Podcast,” Steph Chan sits down with Marc Austin, the visionary CEO of Hedgehog, to unravel the transformative journey of open networking in the realm of AI and cloud computing.
With over a year in the industry, Marc reflects on the lessons learned from the early days of Internet Retail to the present AI boom.
Hedgehog’s mission is clear: provide developers the flexibility to run their workloads with the same convenience as major public clouds.
The key lies in their open networking platform, offering a foundation for distributed AI cloud deployment.
Discover how Hedgehog, in collaboration with VMAccel, is shaping the future of AI infrastructure.
From the inception of Hedgehog anchored on Sonic, an open-source project by Microsoft, to the recent strides in automating distributed cloud networks, Marc shares insights into their accomplishments.
The partnership with VMAccel highlights the commitment to providing accessible GPU resources for AI developers and creating a user experience as seamless as public cloud but at a fraction of the cost.
As Marc delves into the industry’s evolution, he sheds light on the emerging trends in AI, particularly the surge in GPU cloud demand for training and tuning models.
The conversation unfolds to reveal Hedgehog’s upcoming innovation—the DPU mesh. This collaboration with Nvidia promises high-performance networking for AI applications, addressing the challenges of GPU utilization and network congestion.
The discussion takes a forward-looking turn as Marc envisions a safe and productive AI future that we are already witnessing in our daily lives. He emphasizes the role of edge compute in autonomous driving and the importance of providing cloud network services to support the ever-improving AI experiences.
About Hedgehog
Hedgehog is a software company that specializes in open network fabric, providing businesses with the tools and capabilities to easily deploy and operate physical networks. This service is particularly geared towards supporting AI, edge, and data center compute infrastructure, streamlining the process of setting up and managing these complex network systems.
