The January 30, 2020 Ray Meetup in San Francisco featured several talks and presentations from industry experts. The event included a welcome introduction by Dean Wampler, followed by talks on various topics such as fast scheduling in Ray 0.8, training sparse neural networks with Ray, and using Ray for machine teaching services. Additionally, a demo of the Ray Dashboard was showcased, although it was not recorded due to technical issues. A new scalable machine learning model serving library called `Ray.Serve` was also introduced by Simon Mo from Anyscale. The event concluded with an invitation to learn more about Ray and sign up for the free Ray Summit this Fall.