Community Discussions

Mixed workloads on [Anyscale](https://saaskart.co/software/anyscale) need a smart node mix. How are you splitting GPU and CPU node pools to avoid paying for idl

[Anyscale](https://saaskart.co/software/anyscale) supports Ray Serve for online inference. How does it compare to dedicated inference platforms for latency and

If you already run Ray locally, how much work is it to move to [Anyscale](https://saaskart.co/software/anyscale)? Any config or dependency surprises?

Some teams run ML on Kubernetes directly. How does [Anyscale](https://saaskart.co/software/anyscale) compare for developer experience and scaling versus a K8s-b

When a Ray job fails across dozens of nodes, root-causing is painful. What tools and dashboards in [Anyscale](https://saaskart.co/software/anyscale) actually he

Distributed compute bills add up fast. What quotas, autoscaling limits, and monitoring do you set on [Anyscale](https://saaskart.co/software/anyscale) to keep s

Data residency often requires compute in your own VPC. How smooth is the [Anyscale](https://saaskart.co/software/anyscale) setup for running clusters inside you

Fine-tuning large models across many GPUs is hard to orchestrate. How has [Anyscale](https://saaskart.co/software/anyscale) with Ray Train worked for your multi

Batch scoring millions of records is a classic Ray use case. How are people structuring Ray Data pipelines on [Anyscale](https://saaskart.co/software/anyscale)

Open-source Ray is free, so when is [Anyscale](https://saaskart.co/software/anyscale) worth paying for? For teams that upgraded, what enterprise features tipped

Teams often start with a Flask GPU server before adopting [Baseten](https://saaskart.co/software/baseten). What pushed you to migrate and what did the switch in

Most Baseten talk is about LLMs, but [Baseten](https://saaskart.co/software/baseten) also serves vision models. How is latency and batching for image workloads?

Between scale-to-zero and right-sizing hardware, there are several levers on [Baseten](https://saaskart.co/software/baseten). Which changes cut your inference b

Shipping a new model version safely matters. How are people using staged rollouts on [Baseten](https://saaskart.co/software/baseten) to catch regressions before

[Baseten](https://saaskart.co/software/baseten) exposes latency and error metrics, but what about output quality drift? How are teams layering drift detection o

Healthcare teams need HIPAA-eligible inference. How has running regulated workloads on [Baseten](https://saaskart.co/software/baseten) gone in terms of BAAs and

Getting high tokens-per-second from an LLM on [Baseten](https://saaskart.co/software/baseten) takes tuning batch size and hardware. What settings worked for you

Truss standardizes deployment on [Baseten](https://saaskart.co/software/baseten). How much boilerplate did it remove versus writing your own Dockerfile and serv

Cold-start latency makes or breaks user-facing AI. How quickly does [Baseten](https://saaskart.co/software/baseten) spin up a large model, and are people keepin

Both serve models, but [Baseten](https://saaskart.co/software/baseten) leans enterprise while Replicate leans developer-first. For production LLM serving, which