Smulyanski: AI inference demands heterogeneous hardware co-designed for different phases
Misha Smulyanski · Multi-GPU Kernels, Intelligence per Watt, Heterogeneous Inference, and More | YC Paper Club · Y Combinator · Jul 29, 2026 · at 47:35
Misha Smulyanski of Marlowe presents at YC Paper Club, arguing that shifting resource bottlenecks across inference phases require specialized, heterogeneous hardware infrastructure.
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“Inference Is a very heterogeneous workload, right? Different phases of inference exercise, compute, network, storage, memory bandwidths differently, and so when we look at it makes sense to actually co-design the systems that will opt to, you know, use different hardware, different systems for different phases.”
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