2.4
Valohai
SaaS Apps
The Valohai platform makes machine learning in production easy. Data scientists and machine learning engineers can work together to build end-to-end machine learning pipelines that take in data, train a model, and deploy to production automatically.
About Valohai
Models are temporary; pipelines are forever. Valohai is the only MLOps platform that automates everything from data extraction to model deployment. The Valohai platform makes machine learning in production easy. Data scientists and machine learning engineers can work together to build end-to-end machine learning pipelines that take in new data, train a model, and deploy to production automatically. Everything trained on Valohai is automatically stored and versioned, so every model is always reproducible, and work is never lost. The platform is technology agnostic and ready for any cloud or on-premise set up so even the strictest security requirements can be met.
Features
Alternatives to Valohai (4)
Amazon Bedrock
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need...
1.3 on average 
Run:ai
Transform your AI infrastructure with Run:ai to accelerate development, optimize resources, and lead the race in AI innovation.
1.6 on average 
Amazon SageMaker
Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows.
1.6 on average 
Amazon Sagemaker Studio
Amazon SageMaker Studio is an integrated development environment (IDE) that provides a single web-based visual interface where you can access purpose-built tools to perform all machine learning (ML) development steps, from preparing data to building, training, and deploying your...
1.3 on average Software as a Service SaaS
mlops
deep-learning
Machine Learning
Proprietary and Commercial product.
English
