Unify Your AI Development On A Single, End-to-End Platform

Our AI workflow and inference platform unifies data, models and compute with the workflows of execution on a single pane of glass.

Unify Your AI Development On A Single, End-to-End PlatformUnion Workflow

Nearly every company is becoming an AI company in one way or another. This AI transition has three common problems:

Disconnected Dev Teams

  • Inefficient & manual process
  • Interoperability with existing tools
  • Never feels like the right time

Runaway Cloud / GPU Costs

  • High costs
  • Scaling is expensive
  • No cost observability

Slow Speed to Market

  • Existing infrastructure limitations
  • Collaboration & knowledge gaps
  • Security & compliance

A Unified AI Platform — Powering End-to-End AI Development to:

Streamline the entire lifecycle of developing, managing and deploying AI models.

Unify data, models, and compute with the workflows of execution.

Increase speed to market and drive dev productivity.

Union Helps You Solve

Disconnected Dev Teams

How do we do it:
  • A platform to easily automate workflows, collaborate & exchange ideas & data.
  • A single pane of glass for:
    • Data Processes & Model Training
    • Inference & Apps
  • Increased dev productivity with existing tools integrated out of the box
  • Simplified compliance, governance & onboarding
Disconnected Dev TeamsDisconnected Dev Teams
Runaway Cloud / GPU Cost

Runaway Cloud / GPU Cost

How do we do it:

A platform to control runaway costs and operate as efficiently as possible.

  • Ephemeral infrastructure
  • Cost observability & optimization
  • Performance:
    • Caching
    • Actors to reduce upstart costs
    • Container start-up

Slow Speed to Market

How do we do it:

A platform that empowers teams through experimentation and rapid prototyping. 25x faster dev cycles that scale.

  • Experiment confidently
    • Reproducibility
    • Isolated executions
    • Debugging
  • Instant deployments
    • Automatic container builds
    • Fast registration
  • Inference (batch and real-time)
Slow Speed to Market

What Customers Are Saying

“Flyte is a top notch workflow orchestrator, and you guys have built really deep integrations with many tools in the ML ecosystem. Keep up the amazing work!”

Andrew Tag
ML/AI lead

“With its robust versioning system and intuitive UI, it’s graphical workflow visualization makes it a breeze to understand and monitor complex pipelines. “

Anantharaman J
Principal MLE

It integrates our diverse data tools into a cohesive data platform, that our developers enjoy working with.

Sonja Ericsson
Data Platform Lead

“Flyte is an ideal blend of out-of-the-box features and adaptability while leveraging modern technologies to successfully delivered significant business value.”

Vitali Kaiser
Vitali Kaiser

“Flyte & Union has been a game changer for us. It enabled rapid development and iteration cycles, reducing time-to-start for experiments from 10-15 minutes to under a minute on average. We were able to take control of and lower our compute costs despite a growing number of projects.”

Dr. Fabio Gratz
Principal Vision Researcher

“Flyte’s scalability, data lineage, and caching capabilities enable us to train hundreds of models on petabytes of geospatial data which gives us an edge in our domain.”

Arno Hollosi
CTO

“Union AI allows us to manage complex workflows that process hundreds of terabytes of data across more than 10,000 machines with efficiency and reliability.”

Viktor Barinov
Architect

“Flyte has been instrumental in accelerating our ETL and model training pipelines, for swift iteration, streamlined dev process, and quicker time-to-market.”

Lee Ning Jee Leon
ML Platform Lead

“…enabled us to run millions of jobs for our neural simulator that we migrated from Databricks.”

Victor Delepine
Senior AI Engineer

“By using Flyte, Stash cut its provision time by 50%, reduced its model execution time by 65% and lowered its compute costs by 67%. “What’s great now is that every single new model that comes out is being done on Flyte, and it's really exciting to be working with the modelers and having them write their own workflows… They’re becoming more and more self-sufficient with every single release.”

Katrina Palen
ML Platform Engineer

“From several pipelines we migrated to Flyte from our legacy tools, we see around 20% to 80% cost saving. Optimistically, we will have around 100-200 new workflows added to Flyte per month”

Pradithya Aria Pura
Data Science Platform

“Without Flyte Agents, we would need to refactor our legacy models by recreating them, evaluating performance, productionizing, etc. This is not trivial, and no business wants to take on this type of effort, especially if the model is not broken. 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.”

Shih-Gian Lee
Senior Machine Learning Engineer

“Based on a single team we’ve seen 10x more training jobs dispatched from Flyte, resulting in 5x more frequent model releases with sizable business gain… the realization here is that ML productivity is not a nice to have, it is a busin

Mick Jermsurawong
ML Infrastructure Engineer

“From locally trained models to remote, reproducible training pipelines. One of the main benefits from using Flyte is that the data scientists don’t need to understand Kubernetes… they can concentrate on what they do best.”

Jose Navarro
MLOps Engineer

“Flyte has been the workhorse of our system, producing actionable concentration and flux data since the very beginning. Flyte's SDK allows us to quickly integrate our algorithms and its control plan has let us scale to 10k nodes without issue. We look forward to moving over to Union.ai's managed offering as we move into full operations, freeing us up to drive even MORE impact and shape policy with MethaneSAT data.”

Tom Melendez
Senior Engineering Director

“Union is a key accelerant for us at Physical Intelligence. We needed a centralized platform that would allow us to run our ML data processing workflows at scale without worrying about the infrastructure. Union delivered exactly that. The platform's plugin ecosystem also allowed us to quickly integrate the libraries & tools we were already using, saving us a lot of time and effort. We ramped up and had key production workloads running quickly. Without Union, we wouldn't have gotten into production this quickly.”

Ury
Lead MLE

“Flyte has been a game changer for us. Flyte enabled rapid development and iteration cycles, reducing time-to-start for experiments from 10-15 minutes to under a minute on average. We were able to take control of and lower our compute costs despite a growing number of projects.”

Dr. Fabio Gratz
Principal Vision Researcher

“Union AI allows us to manage complex workflows that process hundreds of terabytes of data across more than 10,000 machines with efficiency and reliability.”

Viktor Barinov
Architect

“Flyte has been instrumental in accelerating our ETL and model training pipelines, for swift iteration, streamlined dev process, and quicker time-to-market.”

Lee Ning Jee Leon
ML Platform Lead

“Flyte enabled us to run millions of jobs for our neural simulator that we migrated from Databricks.”

Victor Delepine
Senior AI Engineer

“Flyte has been the workhorse of our system, producing actionable concentration and flux data since the very beginning. Flyte's SDK allows us to quickly integrate our algorithms and its control plan has let us scale to 10k nodes without issue. We look forward to moving over to Union.ai's managed offering as we move into full operations, freeing us up to drive even MORE impact and shape policy with MethaneSAT data.”

Tom Melendez
Senior Engineering Director

“We often have a very fast-cycle exploratory collaboration in sort of a computational notebook context between a scientist and a data scientist to begin framing an amorphous scientific problem down into some kind of computational tool or solution. Then we have another handoff in collaboration between a data scientist and an engineer to really take that prototype system and knit that into our production infrastructure. We collaborate across that entire stack, and we need a tool set that supports that.”

Alex Ford
Head of Data Platform

“Without Flyte, we couldn’t have done what we’ve done so far with the people that we have. You need a workflow orchestration engine if you’re going to do ML at our level, and Flyte is the best one.”

Eli Bixby
Eli Bixby

“With Union, we can co-locate pod specifications and compute resource requirements directly with our tasks and workflows. It reduces at least by 2x the time it takes to make changes to the compute resources for our workflows.”

Reda Oulbacha
ML Developer

“There’s actually less than a handful of [Kubernetes-native workflow engines], and Flyte was one of them,” Balakrishnan says. “But what was also important to us was that it needed to have a sense of credibility and to be battle-tested. “It’s not an understatement to say that Flyte is really a workhorse at Freenome!”

Jeev Balakrishnan
Staff Software Engineer

“[Flyte is] the de facto workflow orchestration engine. I really think Flyte has got the model correct, absolutely correct with respect to architecting and deploying workflows as both code first and leveraging the Kubernetes scheduler to abstract away the scheduling on a per-task granularity.”

Kenny Workman
CTO

”Union is a key accelerant for us at Physical Intelligence. We needed a centralized platform that would allow us to run our ML data processing workflows at scale without worrying about the infrastructure. Union delivered exactly that. The platform's plugin ecosystem also allowed us to quickly integrate the libraries & tools we were already using, saving us a lot of time and effort. We ramped up and had key production workloads running quickly. Without Union, we wouldn't have gotten into production this quickly.“

Ury
Lead MLE

“Flyte has been a game changer for us. Flyte enabled rapid development and iteration cycles, reducing time-to-start for experiments from 10-15 minutes to under a minute on average. We were able to take control of and lower our compute costs despite a growing number of projects.”

Dr. Fabio Gratz
Principal Vision Researcher

“Flyte enabled us to run millions of jobs for our neural simulator that we migrated from Databricks.”

Victor Delepine
Senior AI Engineer

“Union AI allows us to manage complex workflows that process hundreds of terabytes of data across more than 10,000 machines with efficiency and reliability.”

Viktor Barinov
Architect

“Flyte is an ideal blend of out-of-the-box features and adaptability while leveraging modern technologies to successfully delivered significant business value.”

Vitali Kaiser
AI Platform Architect

“Flyte’s scalability, data lineage, and caching capabilities enable us to train hundreds of models on petabytes of geospatial data which gives us an edge in our domain.”

Arno Hollosi
CTO

Request A Demo

Recent Posts by Your Dev Team

Actors: Faster, Cheaper AI Workflows with Stateful Containers
Sage Elliott
Sage Elliott
December 4, 2024
Unified AI Platform
Reusable Containers
AI Workflows

Actors: Faster, Cheaper AI Workflows with Stateful Containers

AI workflows often use containers as isolated environments per task, but each spin-up requires initializing dependencies, configuring models, and loading data, slowing down workflows that need rapid, repeated executions.
Read the story
Union: The Unified AI Platform
Sage Elliott
Sage Elliott
December 2, 2024
Unified AI Platform
Inference
AI Workflows

Union: The Unified AI Platform

Developing and deploying AI models at scale is challenging. Many teams face obstacles like disconnected workflows, runaway or prohibitive infrastructure costs, and slow time-to-market for AI solutions.
Read the story
Join Union at AWS re:Invent 2024!
Sage Elliott
Sage Elliott
November 21, 2024
NVIDIA
Company
Events

Join Union at AWS re:Invent 2024!

Visit Union in the re:Invent Expo Hall as part of the NVIDIA booth #1620.
Read the story