Oumi
Platform for training, evaluating and deploying specialized models
About Oumi
Oumi offers an open source library and platform for training, evaluating and running custom AI models and agents, including post-training and managed inference. Deployment options include hosted, VPC, on premises and edge.
Common use cases
- Fine-tuning specialized models
- Replacing API calls with owned models
- Model evaluation
Products and services
Oumi OSS
Open source library for model training and evaluation.
Train and Improve
Automated workflow for data curation, training and evaluation.
Inference
Managed inference with autoscaling.
Key features
- Model training
- Post-training methods
- Evaluation
- Managed inference
- Lineage and governance
- Flexible deployment
Integrations
- Hugging Face
- PyTorch
Oumi alternatives
FAQs
Is Oumi open source?
The Oumi OSS library is open source.
Where can models run?
Hosted, in a VPC, on premises or at the edge.
What is FAiE?
An agent for evaluation, data curation, training and deployment.
Work at Oumi? Request updates to this profile. Update this profile
Compare with similar providers
All ML Operations providersAnyscaleManaged platform for running Ray-based AI workloads at scale
Blend360Data science, analytics and AI services firm
Edge ImpulsePlatform for building and deploying machine learning on edge devices
Hugging FaceHub for open source models and datasets with hosted inference and enterprise tools
IguazioMLOps and generative AI operations platform built on the open source MLRun
LablupBackend.AI platform for GPU and AI infrastructure management
LaminiPlatform to tune, evaluate and deploy LLMs on private infrastructure
MakinarocksIndustry-specific AI operating system and AI agents for manufacturing and defense