Lauro Rizzatti Marketing Consulting https://validator.w3.org/feed/docs/rss2.html Round pegs, square holes: Why GPGPUs are an architectural mismatch for modern LLMs VSORA Board Chair Sandra Rivera on Solutions for AI Inference and LLM Processing Hardware is the Center of the Universe (Again) An AI-Native Architecture That Eliminates GPU Inefficiencies From Data to Drain: How AI Is Devouring the World’s Electricity The truth about AI inference costs: Why cost-per-token isn’t what it seems From Wooden Boards to White Gloves: How FPGA Prototyping and Emulation Became Two Worlds of Verification… and How the Convergence Is Unfolding The Great Divide: A Tale of Three Hardware Emulation Architectures Inference Acceleration from the Ground Up Vsora Tapes Out AI Inference Chip for Data Centers Lessons from the DeepChip Wars: What a Decade-old Debate Teaches Us About Tech Evolution The role of AI processor architecture in power consumption efficiency Why memory swizzling is hidden tax on AI compute Unlocking Efficiency: Key Requirements for Effective AI Inference Articles Authored By Lauro Rizzatti Home The Rise, Fall, and Rebirth of In-Circuit Emulation: Real-World Case Studies (Part 2 of 2) Benchmarking AI Processors: Measuring What Matters Purpose-built AI inference architecture: Reengineering compute design The Rise, Fall, and Rebirth of In-Circuit Emulation (Part 1 of 2) Will New Ultra-High-Performance AI Inference Chips Make AI Data Centers Cost-Effective? 11 Myths About AI Processors The next AI frontier: AI inference for less than $0.002 per query Silicon Valley, à la Française The Double-Edged Sword of AI Processors: Batch Sizes, Token Rates, and the Hardware Hurdles in Large Language Model Processing A Deep Dive into SoC Performance Analysis: What, Why, and How SNUG 2025: A Watershed Moment for EDA – Part 1 VSORA Raises $46 Million to Bring World’s Most Powerful AI Inference Chip to Market SNUG 2025: A Watershed Moment for EDA – Part 2 Beyond the Memory Wall: Unleashing Bandwidth and Crushing Latency A closer look at LLM’s hyper growth and AI parameter explosion A Deep Dive into SoC Performance Analysis: Optimizing SoC Design Performance Via Hardware-Assisted Verification Platforms Meeting Challenges Posed by AI Inference at the Edge The Journey of Interface Protocols: The Evolution of Interface Protocols – Part 1 of 2 Reduce Risk, Ensure Compliance – Hardware-Assisted Verification for Design Certification Competing for Supremacy: Strategies to Dominate the AI Accelerator Market The Immensity of Software Development and the Challenges of Debugging Series (Part 2 of 4) Strategies to Dominate the AI Accelerator Market The Immensity of Software Development the Challenges of Debugging (Part 1 of 4) The Immensity of Software Development and the Challenges of Debugging (Part 3 of 4) Transformers: Autopilot’s Secret Weapon The Immensity of Software Development and the Challenges of Debugging (Part 4 of 4) AI Inferencing in Data Centers: Breaking the Efficiency-Cost Tradeoff A Solution to knock down the memory wall The Journey of Interface Protocols: Adoption and Validation of Interface Protocols – Part 2 of 2 Technological Innovations in 2024 DVCon 2025: AI and the Future of Verification Take Center Stage Luc Burgun: EDA CEO, Now French Startup Investor 2024 DVCon US Panel: Overcoming the challenges of multi-die systems verification The Rise of LLM Inference at the Edge: Innovations Shaping the Future