Real-World Lessons in Rightsizing VMware Cloud Foundation for On-Premises AI Workloads [INVB1300LV] | AI workloads—especially those powered by large language models (LLMs)—are reshaping how we design, size, and operate infrastructure. It is no longer just about compute and storage. Model size, inference latency, concurrency, and GPU allocation all have a major impact.
In this session, Frank Denneman and Johan van Amersfoort share real-world lessons from designing and deploying AI-ready VMware Cloud Foundation® platforms across multiple customer environments.
Real-World Lessons in Rightsizing VMware Cloud…
AI workloads—especially those powered by large language models (LLMs)—are reshaping how we design, size, and operate infrastructure. It is no longer just about compute and storage. Model size, inference latency, concurrency, and GPU allocation all have a major impact. In this session, Frank and Johan share real-world lessons from designing and deploying AI-ready VCF platforms across multiple customer environments.
virtual graveyard 
Hinterlasse einen Kommentar