Union.ai

““The Union.ai team is responsive on Slack and open to brainstorming, getting guidance on how to use Flyte, taking feature requests, and conveying them to the engineering team. We haven't had to hire a DevOps engineer on the team. I've been able to lean on Union.ai to abstract out that problem and handle the infrastructure. If I have a request, they do it the right way. I don't have to worry about: Am I following security best practices? Am I going to overload my API server? Those kinds of things.””

““We have been able to use Union.ai to configure local SSDs to download one and a half terabytes of data on the fly from GCS, store this on a local SSD, and run a batch operation. This allowed us to reduce the cost of doing MSAs from around $10,000 a month to hundreds of dollars .””

““We’ve been able to save a factor of two or three by using this esoteric instance type at high scale with Union.ai. Scaling out to a thousand and hopefully soon even more of these 48 and 60 CPU instances and scaling dynamically.””

““Union.ai gives us the fault tolerance we need to run our workflows on spot instances. We can configure the number of retries and fall back to on-demand if needed.””

““We get significant cost efficiency from running biomolecular structural AI inference on TPUs. Having the ability to scale dynamically—to go from zero to 500 TPUs across four regions—is unique and highly valuable. We get that from Union.ai, and I don’t know who else could give us that.’”

““We scaled from single-node experiments to 160 GPUs across 40 nodes without changing a line of workflow code. Union.ai handled the provisioning and our data volume with ease.””

““Support-wise it’s been nothing but excellent. Every request from our team gets addressed within a few hours.””

““I waited too long to switch to Flyte 2 — it’s just so much better. We can scale to 200,000–300,000 pods with the escalation logic baked right in, and the out-of-memory and scheduling headaches I used to fight are simply gone.””

““Union has become the backbone of our data processing. Almost all of our bioinformatics pipelines run on it now””

“Union.ai support has proven to be critical for us at the time that we needed to significantly scale up our data processing needs to meet major milestones.”

“My personal experience says there’s been at least 30% cost savings in efficiency.”

“A couple of us are sufficient to support a whole bunch of data scientists because we actually develop reusable Flyte workflows.”

“You can compose workflows; one workflow can call other workflows, and you can chain them together and reuse them.”

““Union.ai is our dedicated ML platform; we're all in, for both training and production inference. Migrating to Flyte 2 has made inference cheaper and more predictable. When we had a hard deadline, essentially the entire Union team was online with us until the early hours of the morning. That's the kind of partner we want as we scale.””

““Every single new model that comes out is being done on Flyte… They’re becoming more and more self-sufficient with every single release.””

““We want to make writing a workflow for people's jobs pleasant and straightforward… if it’s not simple and easy, people aren’t going to adopt the technology.””

“The ability to massively parallelise computations accelerates our development lifecycle. Researchers focus on the science rather than learning compute frameworks.”

““We’re amazed at the level of support. Union engineers respond within minutes and dive directly into the issue—no other vendor comes close.””

““We want one platform for orchestrating all these jobs. Writing everything in a Union workflow means less to manage—it's awesome.””

““We were able to save nine months of engineering time by avoiding any code changes and simply lifting and shifting our Airflow code and running it with Union.””

““The learning curve’s not steep, but the yield curve is incredible.””

““It’s important for us to have strong guarantees about inputs and outputs. It makes our predictions more reliable.””

““I’m not gonna lie: Kubernetes is all nuance… Union takes a huge load off our engineering team. They don’t need to manage ephemeral storage or cluster details.””

““A fraction of the time, larger area… We’re really excited about the capabilities this project will enable us to do, and Flyte’s going to get us there.””

““The community here is phenomenal… asking a million questions in Slack and getting answers from everybody. That’s been super helpful.””