evoilutioncast 45: How to build a solid foundation for AI on VCF?
In this episode of the IT podcast - evoilutioncast, Maciej Lelusz speaks with Frank Denneman - a very AI person in VMware by Broadcom. Frank plays a key role in the VCF division, where he shapes the roadmap for the Private AI Foundation in NVIDIA and heavily influences the division’s overall AI strategy.✔️Fancy to know whether the VCF is an infrastructure for AI? ✔️Does that put an AI construct in the DC?✔️The truth is that with AI, nothing is easy, but you can make it easier. ✔️As well as there are things to be approved by humans and things to be made by AI.✔️Listen to the conversation to find out new trends in AI infrastructure as RAG or #vector database and many more. 🤝 Episode's Partner: VMware by Broadcom𝓛𝓲𝓼𝓽 𝓸𝓯 𝓬𝓸𝓷𝓽𝓮𝓷𝓽:00:02:00 AI on VCF (VMware Cloud Foundation) platform: what's all about?00:06:50 vcf9 as a local hypervisor?00:09:10 SaaS solution as a starter on the cloudfoundation platform00:12:27 Platform, both for engineers and developers - what is this VCF platform? 00:20:58 cost spending tracking on private cloud platform00:24:41 Retrieval Augmented Generation (RAG) is the most common use case00:32:15 The most trending solutions on the market: summarizing based on augmented AI in healthcare00:36:30 digestion pipeline of data by building vector database 00:40:03 Similarity search and embedding model: how does it work?00:42:43 What gives the VCF platform to the organization as an open infrastructure model?00:49:24 Next steps on VCF? Wider integration and an easier way of consuming a platform - giving the best way of consuming the resources that you have🔔 Subskrybuj: https://bit.ly/sub_evoilutioncast
To pipeline jest coś, co można budować z tego, co nazywa się systemem data, indeksyzacji i utrzymania systemu VMI Pivot AI Foundation. Nazywamy to wewnętrznie RAC, co pozwala na budowę tego pipeline. Kolejną rzeczą, którą dajemy, jest to, co nazywa się agent-builder. The primary use case of the agent builder is to build that pipeline. These are my data sources, this is my vector database, this is my embedded model, this is my completion model. Go build it. And so tie it all together because you need to have a lot of glue. Those are the elements what we currently offer within private AI foundation with NVIDIA.
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In this episode of the IT podcast - evoilutioncast, Maciej Lelusz speaks with Frank Denneman - a very AI person in VMware by Broadcom. Frank plays a key role in the VCF division, where he shapes the roadmap for the Private AI Foundation in NVIDIA and heavily influences the division’s overall AI strategy.
✔️Fancy to know whether the VCF is an infrastructure for AI?
✔️Does that put an AI construct in the DC?
✔️The truth is that with AI, nothing is easy, but you can make it easier.
✔️As well as there are things to be approved by humans and things to be made by AI.
✔️Listen to the conversation to find out new trends in AI infrastructure as RAG or #vector database and many more.
🤝 Episode's Partner: VMware by Broadcom
𝓛𝓲𝓼𝓽 𝓸𝓯 𝓬𝓸𝓷𝓽𝓮𝓷𝓽:
AI on VCF (VMware Cloud Foundation) platform: what's all about?
vcf9 as a local hypervisor?
SaaS solution as a starter on the cloudfoundation platform
Platform, both for engineers and developers - what is this VCF platform?
cost spending tracking on private cloud platform
Retrieval Augmented Generation (RAG) is the most common use case
The most trending solutions on the market: summarizing based on augmented AI in healthcare
digestion pipeline of data by building vector database
Similarity search and embedding model: how does it work?
What gives the VCF platform to the organization as an open infrastructure model?
Next steps on VCF? Wider integration and an easier way of consuming a platform - giving the best way of consuming the resources that you have
🔔 Subskrybuj: https://bit.ly/sub_evoilutioncast