Anthony Dina, Dell Technologies | Nvidia GTC 2024
summary
Dell details concrete work: shipping RAG models from workstation to cluster, integrating PowerScale and a Dell Data Lake House for unified data, and claiming the first ever ethernet certified super pod to make Ethernet-first large-scale training/inference practical. Plans include pushing SLMs to mobile and PCs (leveraging millions of pre-existing Nvidia-enabled units), experimenting with NIMs and AI Foundry portability, offering storage in the Azure marketplace, and ramping consulting to solve data-silo and power/sovereignty constraints for deployments.
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chapters (10)
- 0:00Introduction to GTC 2024
- 0:21Dell’s AI vision and solutions
- 1:24HPC vs enterprise AI workloads
- 3:10Ethernet vs InfiniBand in AI
- 5:01Nvidia’s AI foundry and NIMs
- 6:27Small language models and agents
- 7:08Enterprise data readiness challenges
- 8:34Dell-Nvidia partnership and AI factory
- 9:38Market enthusiasm and capacity limits
- 10:19Show vibe and industry impact
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