{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"TechDaily.ai","title":"Inside Google’s Ironwood: AI Inference, Performance & Data Protection","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/93468984\"></iframe>","width":"100%","height":180,"duration":573,"description":"In this episode of The Deep Dive, we unpack Google’s 7th-gen TPU, Ironwood, and what it means for the future of AI infrastructure. Announced at Google Cloud Next, Ironwood is built specifically for AI inference at scale, boasting 4,614 TFLOPs, 192 GB of RAM, and breakthrough bandwidth.\nWe explore:\nWhy inference optimization matters more than ever\nHow Ironwood compares to Nvidia, AWS, and Microsoft’s chips\nThe rise of sparse core computing for real-world applications\nPower efficiency, liquid cooling, and scalable AI clusters\nWhat this means for data protection, governance, and infrastructure planning\nThis episode is essential for IT leaders, cloud architects, and AI practitioners navigating the explosion of AI workloads and the growing complexity of data management.","thumbnail_url":"https://img.transistorcdn.com/MKzoODnpsE2Vy4aGphW9b-GBzDjrXS02jU9UfoOrOl4/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mZjQ4/NzM0YWU5MjE5MmI4/NzM3Mjg2YzM0NGE5/ZjUzYi5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}