Confronting AI’s Next Big Challenge: Inference Compute

Inference computing for AI models is becoming a complex challenge requiring diverse hardware solutions rather than relying solely on GPUs. d-Matrix CEO Sid Sheth explains that while training has been dominated by NVIDIA, inference has varied workloads with different requirements for cost, interactivity, and throughput. His company's Corsair platform addresses this by stacking memory directly above compute components, significantly reducing data travel distance and improving performance for generative AI applications that require extensive data caching.