… Enterprise-grade AI assistants depend on structured retrieval infrastructure, AST-based chunking, standardized orchestration via Model Context Protocol, and domain-specific fine-tuning, enabling dependable, production-ready agents that reduce integration failures and review overhead. …
… Previously she worked on privacy implications of federated learning, focused on distributed training techniques and got fascinated by inefficiencies in GPU usage in research and industry settings. She established the AI Infrastructure Club and is based in Munich, Germany. …
… His work entails the application of the combined NVIDIA hardware and software stacks to enable successful customer outcomes. Outside of his professional role, he is driven by technical curiosity and a commitment to personal growth. …
… Discuss 0 Discuss 0 Tags Agentic AI / Generative AI | Developer Tools & Techniques | Trustworthy AI / Cybersecurity | General | Intermediate Technical | Deep dive | AI Agent | Build AI Agents | Open Source | Trustworthy AI About the Authors About Moshe Abramovitch Moshe Abramovitch is an AI product… …
… While the MLIP models themselves run on GPUs, the surrounding simulation infrastructure often relies on legacy CPU-centric code. NVIDIA ALCHEMI AI Lab for Chemistry and Materials Innovation helps to address these challenges by accelerating chemicals and materials discovery with AI. …
… For physics-informed AI, this means simpler code and higher sustained throughput that is not constrained by a slower, higher latency, PCIe link. …
… Discuss 0 Discuss 0 Tags Agentic AI / Generative AI | Data Science | MLOps | General | Blackwell | NeMo | Intermediate Technical | Tutorial | featured | LLMs | Training AI Models About the Authors About Guyue Huang Guyue Huang is a deep learning architect at NVIDIA, specializing in post-training RL… …