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Vik Malyala
Senior VP, MD & President of the EMEA Division, Supermicro

Vik Malyala, Supermicro | Expanding AI Access Through Developer-Centric Infrastructure

🎥 Dec 01, 2025 📺 AMD Developer Central ⏱ 1m 👁 662 views
Vik Malyala, Senior Vice President at Supermicro, shares how democratizing AI starts with getting hardware and platforms into the ...
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About Vik Malyala

Vik Malyala, Senior Vice President, Managing Director and President of the EMEA Division at Supermicro, has been discussing the company's AI infrastructure portfolio and the importance of balancing CPU and GPU architectures for enterprise AI workloads. In interviews and presentations, Malyala emphasized that AI infrastructure should not be viewed solely as a decision around GPUs, stating that CPUs, accelerators, memory, networking, storage, cooling, software, and rack integration must work as one system. He noted that with the rise of agentic AI, workloads on the CPU can impact 50 to 90 percent of latency, and called it "a criminal waste not to have the best computation" for orchestration. Malyala also highlighted the rapid pace of technology refresh, which he said is now less than a year, while typical data center projects take 12 to 24 months, creating a fundamental challenge where infrastructure can become outdated before deployment. At COMPUTEX 2026, Malyala showcased Supermicro's next-generation platforms powered by NVIDIA, AMD, Intel, and ARM processors, including the Vera Rubin, HGX B300, and AMD Helios systems. He described the AMD Helios as a "beast" and a "massive 7,000 lb machine." Malyala also discussed the company's data center building block strategy, which includes liquid cooling, rack-scale systems, and infrastructure management software. He referenced estimates of $1.5 trillion in IT infrastructure spending, calling it a "big number," and noted that customers are increasingly exploring on-premises deployment after seeing the costs of public cloud services. Malyala added that Supermicro is working with partners such as AMD to co-design systems that can be quickly taken from proof of concept into production.

Source: AI-verified profile updated from Vik Malyala's recent appearances. Browse all interviews →

Transcript (1 segments)
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Vik Malyala0:00
So one of the things that we have done is to democratize this whole AI adoption, and one way to do that is to make sure that it is getting adopted by as many developers and as many customers as possible. We work with AMD and we also work with several neo clouds, such as Vulture, Tensor Wave, Crusoe, and Digital Ocean, and all these guys to bring these platforms into their hands so that developers will have access to the systems easily. In addition to that, we also have kept some small number of systems in our jump start program, so one can actually sign up for that and get access to this. The whole idea again here is how do we bring this hardware in different shapes and sizes and capacities for our customers so they can take care of different types of workloads, whether it's training or inferencing or edge applications, whatever the verticals may be. So this is what actually excites us in working with AMD and the ecosystem to make sure that we have an end-to-end solution for that.