Jun 30, 2026

Why Hardware-Software Co-Design Is AI's Real 100x: Dylan Patel of SemiAnalysis

Dylan Patel, founder of SemiAnalysis, details how software-hardware co-design drives 100x gains in AI performance, citing examples like DeepSeek's optimization for Nvidia Hopper and the architectural differences between OpenAI's sparse and Anthropic's dense models. He introduces InferenceX, a living benchmark tracking a 60x annual cost reduction in AI quality, and explains why the "CUDA moat" narrative is shifting. Patel also delves into the persistent compute crunch, the strategic rise of neoclouds, and Jensen Huang's efforts to foster a multipolar AI world to prevent hyperscaler dominance.

Feb 19, 2026

AWS is Too Expensive: Here is the Open Source Alternative

Umur Cubukcu, co-founder of Ubicloud, explains the principles of an "open cloud," centered on an open-source control plane, portability, and freedom from data lock-in. He details Ubicloud's strategy to compete with hyperscalers by offering superior price-performance on core services like PostgreSQL and compute, particularly for startups and enterprises seeking control and data sovereignty.

Feb 12, 2026

Inference at Scale:Breaking the Memory Wall

Sid Sheth, CEO of d-matrix, details their memory-centric approach to AI inference hardware, focusing on their Digital In-Memory Compute (DIMC) architecture. He explains how DIMC, an augmented SRAM technology, minimizes data movement to solve the memory bottleneck, delivering significant gains in latency and energy efficiency, particularly for the 'decode' phase of large language models.