Webinar. Beyond ChatGPT: unlocking the power of open-source LLMs
As GenAI application builders face escalating costs and privacy concerns with proprietary models like ChatGPT, open-source alternatives such as Llama and Mistral are emerging as game-changers. These models offer comparable quality at a fraction of the cost, with enhanced privacy controls.
In this webinar, Nebius’ team of experts will unveil our in-house inference infrastructure and share critical insights on navigating the token-as-a-service market.
October 24, Thursday, 17:00 UTC+2 / 8:00 PST
For who
For GenAI builders, CTOs, product managers, technical co-founders, data scientists and related roles in AI development.
You will learn:
- How to evaluate build vs. buy decisions for your GenAI infrastructure.
- Selecting the optimal model: Balancing performance, cost and privacy.
- Step-by-step guide to migrating from third-party providers to open-source solutions.
- Key performance indicators for benchmarking inference providers.
- Overcoming technical challenges in implementing cost-effective inference infrastructure.
When
October 24, Thursday, 17:00 (UTC+2). We’ll finish around 18:00 after Q&A part.
Where
Zoom. You will receive the link after registration.
Nikita Vdovushkin, Product Lead
Nikita Vdovushkin, Product Lead
In his capacity as Product Lead at Nebius, Nikita oversees Machine Learning products, including Nebius AI Studio, Managed Service for MLflow and Soperator, Nebius' open-source solution for Slurm.
His expertise and ability to execute empower companies to bring industry-leading products to market, drawing on his extensive experience at BI.ZONE and Wallarm, as well as his involvement in volunteering projects such as organizing the OFFZONE conference and overseeing CTFZone competitions.
