Local Models: Trust, Control, Optimization
Carter Abdallah, Vincent Weisser, Lucas Atkins, Chris Alexiuk
- When
- Thursday, July 21:30 PM – 1:50 PM · 20 min
- Where
- Track 4San Francisco, CA · imported from ai.engineer's public schedule feed
About this session
Local Models: Trust, Control, Optimization looks at why builders are choosing local AI for privacy, reliability, customization, cost, and ownership, while still asking where cloud remains necessary. The panel covers local-first versus hybrid strategies, the role of open-source models, and the infrastructure stacks making frontier-quality intelligence possible outside centralized APIs.
Moderator: Carter Abdallah (NVIDIA). Panelists: Vincent Weisser (Prime Intellect), Lucas Atkins (Arcee AI), Chris Alexiuk (NVIDIA), Lou (Z.ai).
Speakers (4)
Senior Developer Tech, NVIDIA
Founding Engineer at the NVIDIA aquired GPU dev tool Brev.dev. Now leads Agent Marketing and Experience, and internal OSS strategy at NVIDIA.
Co-founder & CEO, Prime Intellect
Vincent Weisser is Co-founder & CEO of Prime Intellect. Prime Intellect provides an open stack for training, deploying, and continuously improving AI models with compute, RL post-training, evaluations, and inference.
CTO, Arcee AI
Lucas Atkins serves as CTO and Head of Research at Arcee, where he led the development of the company’s proprietary training stack. He has worked in machine learning since 2019, including text-to-speech systems for automotive systems. His work also includes training specialized language translation systems for the UAE in 2022 and collaborating with ROCM from 2023 to 2024 on optimizing enterprise GPUs for large-scale model training.
Sr. Product Research Engineer, NVIDIA
Chris Alexiuk is a Sr. Product Research Engineer at NVIDIA, he is obsessed with everything and anything about large language models as well as Dungeons & Dragons.
More in Local AI
- State of the Union: Why Local, Why NowThursday, July 2 · 10:45 AM – 11:05 AM · Track 4
- State of the Union: Why Local, Why NowThursday, July 2 · 11:10 AM – 11:30 AM · Track 4
- Demo: GLM 5.2 on DGX Station — Frontier Intelligence Under Your DeskThursday, July 2 · 11:40 AM – 12:00 PM · Track 4
- Local AI DemosThursday, July 2 · 12:05 PM – 12:25 PM · Track 4
- Local Models: Trust, Control, OptimizationThursday, July 2 · 1:55 PM – 2:15 PM · Track 4
For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpointsHide
- JSONEvery published session and speaker, in one request./aie-worldsfair-2026-import/feed.json
- iCalSubscribe in Google, Apple or Outlook Calendar./aie-worldsfair-2026-import/feed.ics
- Schedule XMLfrab / pentabarf — the format conference apps import./aie-worldsfair-2026-import/feed.xml
- MCP + RESTPoint Claude at the programme. OpenAPI 3.1 included./agents
No key, no signup, CORS open. Everything here is generated from the same data the organisers edit.