What we're about

This is the official group for the Open Data Data Science Salon Community in San Francisco: https://datascience.salon/

Designed for data folks who are interested in social impact and for social impact folks who are interested in how data can help them achieve their mission.

Access on demand DSS content on Insider: https://insider.datascience.salon/

Upcoming events (2)

DSS virtual: Finance, Technology & Travel

Online event

APPLYING AI & MACHINE LEARNING TO FINANCE, TECHNOLOGY & TRAVEL Register here: https://www.datascience.salon/travel-finance-and-technology/ Registration includes: - 25+ sessions with live Q&A - Networking and breakout sessions including Meditation and industry-focused Coffee Chats - One year access to DSS Insider, including all sessions from previous DSS events - Access to DSS Slack channel and event app to connect with fellow attendees To register or for more information about DSS: Travel, Finance & Technology, click here: https://www.datascience.salon/travel-finance-and-technology/

[Webinar] Serverless for ML Inference on Kubernetes: Panacea or Folly?

Register here: https://hubs.li/H0BvQkk0 As providers of an end-to-end MLOps platform, we find that autoscaling ML inference is a frequent customer ask. Recently, serverless computing has been touted as the panacea for elastic compute that can provide flexibility and lower operating costs. However, for ML, the need to precisely define hardware configurations and long warm-up times of certain ML models exacerbate the limitations of serverless. To provide the best solution to our customers, we have run extensive benchmarking experiments comparing the performance of serverless and traditional computing for inference workloads running on Kubernetes (with KubeFlow and with the ModelDB MLOps Toolkit). Our experiments have spanned a variety of model types, data modalities, hardware, and workloads. In this talk, we present the results from our benchmarking study and provide a guide to architect your own k8s-based ML inference system. Register here: https://hubs.li/H0BvQkk0

Past events (57)

DSS Retail & E-Commerce

Online event

Photos (72)

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