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What is Wallaroo.AI?
Wallaroo.AI offers a universal AI inference platform designed to streamline the deployment, management, and optimization of AI models. The platform facilitates rapid deployment across various environments, including cloud, on-premise, and edge locations, supporting a wide range of hardware configurations (x86, ARM, CPU, and GPU).
It integrates seamlessly with existing ML toolchains and provides advanced features like automated scaling, real-time monitoring, and drift detection. Wallaroo.AI's Rust-based server ensures high performance and efficiency, significantly reducing inference costs and latency.
Features
- Self-Service Toolkit: Deploy and scale models using an easy-to-use SDK, UI, and API.
- Blazingly Fast Inference Server: Distributed computing core written in Rust-lang supports x86, ARM, CPU, and GPUs.
- Advanced Observability: Comprehensive audit logs, advanced model insights, and full A/B testing.
- Flexible Integration: Integrates with existing ML toolchains (notebooks, model registries, experiment tracking, etc.).
- Automated Feedback Loop: ML monitoring and redeployment.
- Model Validation: Integrated with A/B testing and Canary deployments.
- Autoscaling: Workload autoscaling to optimize resource usage.
Use Cases
- Computer Vision
- Forecasting
- Classification
- Generative AI
- Real-time Inferencing
- Batch Inferencing
FAQs
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What advantages does Wallaroo.AI provide?
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. -
How does Wallaroo.AI impact business outcomes?
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. -
What deployment targets do you support?
We support deployment to on-premise clusters, edge locations, and cloud-based machines in AWS, Azure, and GCP. -
What languages or frameworks does the Wallaroo.AI platform support for deployment?
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. -
How will Wallaroo.AI integrate into the other platforms and tools that I use?
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.
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