Learn how Wallaroo powers AI deployment at scale: Download?Guide >
? Wallaroo makes it fast, scalable & secure to deploy, run & migrate AI inference anywhere.
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? Wallaroo bridges the gap between AI developers & diverse silicon on cloud, on-prem & edge.
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The Wallaroo platform eliminates AI infrastructure complexity, and enhances inference efficiency, enabling AI teams to deploy & scale state-of-the-art AI agents & models on diverse infrastructure.
In addition to our rich integration toolkit to the most common data sources and sinks, Wallaroo.AI works closely with key partners and communities to create better experiences.
We allow you to deploy, serve, observe, and optimize AI in production with minimal effort and via automation. Easily deploy and manage any model, across a diverse set of target environments and hardware, all within your own secure ecosystem and governance processes. We help you significantly reduce engineering time, delays and inference infrastructure costs while providing high performance inferencing for real-time and batch analysis.
Wallaroo.AI provides the fastest way to operationalize your AI at scale. We allow you to deliver real-world results with incredible efficiency, flexibility, and ease in any cloud, multi-cloud and at the edge.
Wallaroo.AI is a purpose-built solution focused on the full life cycle of production ML to impact your business outcomes with faster ROI, increased scalability, and lower costs.
Yes, our Community Edition is free for you to try at your convenience. Sign up and download it today here.
We offer free hands-on proofs-of-value (POVs) to prove out platform capabilities and give hands-on experience as well as paid POCs to jumpstart your work on items specific to your use case.
We support deployment to on-premise clusters, edge locations, and cloud-based machines in AWS, Azure, and GCP.
All of Wallaroo.AI’s functionality is exposed via Python SDK and an API, making integrations to a wide variety of other tools very lightweight. Our expert team is also available to support integrations as needed.
Wallaroo.AI has an easy-to-use installer as well as support for Helm-based installations. Many of our customers are able to easily install Wallaroo.AI themselves using our deployment guides, but we also have an expert team ready to support you with any questions or more custom deployment needs.
Minutes. Wallaroo.AI allows you to deploy most models in just three lines of Python code. Wallaroo.AI will host detailed, customized trainings for new customers, enabling you on even the most advanced features of the platform in about four hours.
We’ve helped our customers to deploy AI models to the cloud and the edge for a wide variety of use cases. These span many types of machine learning models, including computer vision models (such as Resnet and YOLO), LLMs (such as LLaMav2, Dolly, and Whisper), and many traditional AI models such as Linear/Logistic Regression, Random Forest, Gradient Boosted trees, and more. These also span many industries, including Manufacturing, Retail, Life Sciences, Telecommunication, Defense, Financial Services, and more.
Wallaroo.AI supports low-code deployment for essentially any Python-based or MLFlow-containerized model as well as even lighter-weight deployment for common Python frameworks such as Scikit-Learn, XGBoost, Tensorflow, PyTorch, ONNX, and HuggingFace.
The Wallaroo.AI platform has a wide variety of tools available to monitor your models in production, including automatic detection of model drift, data drift, and anomalies, challenger model evaluation, and workflow automation for batch processing.
Unblock your AI team with the easiest, fastest, and most flexible way to deploy AI without complexity or compromise.?
