Jumpstart AI on IBM Power: The Wallaroo AI Starter Kit
✓ The frictionless way to ship, run, & orchestrate enterprise-grade, state-of-the-art AI Inference.
✓ Bridging the gap between AI developers & AI Infrastructure from cloud to on-prem & edge.
✓ Scalable, Private & Fast Enterprise AI from cloud to on-prem & edge.
✓ 4-6X faster time-to-value
✓ Free up 40% of AI team’s time
Most AI projects fail without a disciplined AI lifecycle. Wallaroo and IBM Power® Systems help enterprises bridge the gap between experimentation and production, turning AI vision into measurable business value.
AI infrastructure is evolving beyond platform & hardware silos. Enterprises need flexibility across cloud, on-prem, and edge environments. Wallaroo unblocks these challenges, providing a unified AI platform that supports migration, orchestration, & optimized inference across diverse architectures.
As organizations aggressively pursue IT modernization with AI & Agentic AI applications, Wallaroo provides the complete solution, through orchestrating the deployment, inference and management of AI agents & applications across diverse infrastructure & silicon.
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.
The Wallaroo platform 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.
The Wallaroo platform 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. The Wallaroo platform allows you to deploy most models in just three lines of Python code. Our team will host detailed, customized trainings for new customers, enabling you on even the most advanced features of the platform in about four hours.
Our customers deploy AI models to the cloud and the edge using Wallaroo for a wide variety of Applications. These span many types of machine learning and deep learning models for NLP (e.g transformers) and computer vision models (such as Resnet and YOLO), as well LLMs and their finetuned variants (such as Llama, Deepseek, Mistral and OpenAI etc.), 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, AdTech and more.
Wallaroo.AI natively supports low-code deployment for essentially standard LLM frameworks such as vLLM, SGLang and TGI as well as base runtimes and frameworks Scikit-Learn, XGBoost, Tensorflow, PyTorch, ONNX, and HuggingFace. Wallaroo also supports custom python-based frameworks and runtimes leveraging its flexible python execution layer.
The Wallaroo 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.
