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Schedule a demo


LIVE WEBINAR


AN ESSENTIAL GUIDE TO ML MODEL SERVING STRATEGIES (INCLUDING LLMS)

DATE:

February 13, 2024

TIME:

16:00

GMT

11:00

EST




AGENDA

There are many ways to serve ML models to end users today, and even though new
ways keep popping up as time passes, many questions remain. Firstly, how do we
pick the appropriate serving approach and, secondly, how can we execute it as
fast and efficiently as possible?

In this talk, Ramon Perez, our Developer Advocate at Seldon, will dive into the
different machine learning deployment strategies available today for both
traditional ML systems and Large Language Models, and we’ll also touch on a few
dos and don’ts while we’re at it.

Seldon enables a data-centric approach to model inference with ML-focused
pipelines and empowers users to run multi-model serving (MMS) strategies. MMS
provides a scalable and cost-effective solution when the number of models you
are deploying increases.

Both hosting costs and deployment overhead are significantly reduced when using
an MMS approach. This is the ideal solution for hosting a large number of models
with the same ML framework, or different ones, on a shared platform.


REGISTER YOUR SPOT



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SPEAKER

Ramon Perez

Developer Advocate, Seldon






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Where can I find your other webinars?

We run webinars every month. You can find all our webinars listed here.

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