Name: Wallaroo.AI
Brand: wallaroo.ai
Price: 500.00 USD
Availability: InStock

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

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.