In this episode, we explore Thinking Machines Lab's new "Tinker" fine-tuning API that democratizes advanced model customization while handling complex distributed training infrastructure. We dive into DualEntry's impressive $90 million Series A funding for their AI-native ERP solution promising 24-hour migration from legacy systems. Additionally, we analyze Nvidia's specialized Rubin CPX GPU designed specifically for long-context inference, featuring 128GB of GDDR7 memory and innovative "disaggregated inference" architecture. These developments represent significant advancements in AI accessibility, enterprise solutions, and hardware optimization that could reshape their respective markets.https://www.aiconvocast.comHelp support the podcast by using our affiliate links:Eleven Labs: https://try.elevenlabs.io/ibl30sgkibkvDisclaimer:This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by Thinking Machines Lab, DualEntry, Nvidia, or any other entities mentioned unless explicitly mentioned. The content provided is for informational purposes only and does not constitute professional, financial, or technical advice. All trademarks, logos, and company names are the property of their respective owners.

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