🌍 Public RSVP
Optimising Open Source Model Inference
When
Wednesday, 28 October 2026
09:30–11:00
“Interested” saves it to your list and sharpens your recommendations. “Going” marks your spot and opens the organizer’s page so you can grab the actual ticket.
Join Earlybird and Condense for a technical breakfast discussion on the economics of running open source models in production. There's a common promise that switching to open source cuts your inference bill - but in practice, it often doesn't. Output token prices look cheaper, yet cost per task tends to be higher because open models are more token-intensive. As startups scale, agent economics become one of the most important (and least understood) parts of the stack. Edvard Sivickij (Condense) will walk through what they're seeing across teams, with real benchmarks - cost per PR and per work unit, open source vs. frontier models like Opus 4.8 - before opening up to the room. We'll get into where the spend actually goes and how to optimize it: compaction, gateway routing, and model routing among them. This is a discussion, not a fireside chat. Come ready to share your own examples and push back. Best for engineers and founders working hands-on with LLM infrastructure. Agenda: Arrivals: 08:30–09:00 Kickoff & discussion: 09:00–10:00 See past roundtables here: https://www.akashbajwa.co/t/ai-roundtables I agree that photographs and/or video may be taken during the event and used by the hosts on social media and in future promotional materials.
Who's going
Sponsors & partners
Speakers from
- Where
- Zurich
- Organizer
- Anna Andersson
- Who's going
- ~50 expected
- Registration
- 🌍 Open to all
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