Super Data Science: ML & AI Podcast with Jon Krohn 886: In Case You Missed it In April 2025
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May 9, 2025 
Sama Bali from NVIDIA shares insights on AI software stacks, focusing on the power of CUDA and the innovative NIME microservices that simplify AI development. Emily Weber, an AWS Principal Machine Learning Specialist, discusses specialized AI accelerators like Graviton and Tranium 2 chips, spotlighting their impact on enterprise applications. They dive into the future of AI deployment, addressing challenges data scientists face and the shift from cloud reliance to on-device AI solutions, revealing exciting trends in model integration and performance efficiency.
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NVIDIA's Microservices Transform AI
- NVIDIA AI Enterprise delivers AI models as containerized microservices for easy swapping and updating.
- This microservice approach reduces disruption when AI models rapidly evolve, enhancing deployment speed.
Deploy AI Quickly with NIM
- Use NVIDIA Inference Microservices (NIM) to deploy AI models with one line of code.
- NIM handles tuning to GPU, removing technical overhead for data scientists.
Try NVIDIA Models Free Online
- Prototype and test AI models for free at NVIDIA's build.nvidia website.
- Signing up for the NVIDIA developer program allows offline experimentation with many models.