In our continuing series on current and future leaders of HPC-AI, Lawrence Livermore National Lab’s Todd Gamblin has a well-deserved reputation in the HPC software community as a passionate ….
At the Convergence of HPC, AI at Scale, Quantum
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Re-Engineering Ethernet for AI Fabric
Ethernet wasn’t built with AI in mind. While cost-effective and ubiquitous, its best-effort, packet-based nature creates challenges in AI clusters… But fabric-scheduled Ethernet transforms Ethernet into a predictable, lossless, scalable fabric – ideal for AI. It uses cell spraying and virtual output queuing ….
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From Hallucination to Reality: Navigating the World of HPC and AI with Dell Technologies, CTG Federal and NVIDIA
As Federal agencies navigate an increasingly complex and data-driven world, learning how to get the most out of high-performance computing (HPC), artificial intelligence (AI), and machine learning (ML) technologies is imperative to their mission. These technologies can significantly improve efficiency and effectiveness and drive innovation to serve citizens’ needs better. Implementing HPC and AI solutions […]
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- Instilling Foundational Trust in Agentic AI: Techniques and Best PracticesBy Dr. Eoghan Casey, Field CTO at Salesforce With artificial intelligence advancing and becoming increasingly autonomous, there is a growing shared responsibility in the way trust is built into the systems that operate AI. Providers are responsible for maintaining a trusted technology platform, while customers are responsible for maintaining the confidentiality and reliability of information […]
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