{"href":"https://api.simplecast.com/oembed?url=https%3A%2F%2Freshaping-workflows.simplecast.com%2Fepisodes%2Flive-from-gtc-jax-training-with-nvfp4-FFZ_YqI1","width":444,"version":"1.0","type":"rich","title":"Live from GTC: Train Smarter, Not Bigger with NVFP4","thumbnail_width":300,"thumbnail_url":"https://image.simplecastcdn.com/images/28a945fd-e1b5-4c16-b0ea-459c23b33a88/43ab6ae6-2fe5-41f9-8470-11d3f13b62b4/dell-20podcast-20artwork-20-1.jpg","thumbnail_height":300,"provider_url":"https://simplecast.com","provider_name":"Simplecast","html":"<iframe src=\"https://player.simplecast.com/f03e40fb-9bde-4246-8410-005e9be07ad4\" height=\"200\" width=\"100%\" title=\"Live from GTC: Train Smarter, Not Bigger with NVFP4\" frameborder=\"0\" scrolling=\"no\"></iframe>","height":200,"description":"What if you could train faster, use less compute, and not lose accuracy? Live from GTC 2026, Logan sits down with NVIDIA Solution Architect Hirofumi Kobayashi and Senior Software Engineer Max Xu to break down NVIDIA’s latest leap in LLM training. "}