Technology Ecosystem
Wallaroo.AI wants you to take advantage of tools your ML engineers and data scientists are already familiar with. And we want to make sure we’re taking advantage of all the latest technologies that can help you do more with the resources you already have.
Learn more about the technologies we support and the partners we work with below.
Amazon Web Services (AWS)
Cloud platform supported by Wallaroo.AI used for deploying and running ML models in production
Ampere Altra
Compute hardware for processing ML model inferencing for which Wallaroo.AI has optmized solutions that are faster and lower cost than alternatives.
Apache Arrow
Open source project that provides a common data format for analytics workloads. Wallaroo.AI accepts Apache Arrow table inputs for inferences and highly encourages organizations to use Apache Arrow as their default inference input method for speed and accuracy. This requires the Arrow table schema matches what the model expects.
Arm
Chip manufacturer whose technology, supported by Wallaroo.AI, is used for deploying and running ML models in production, especially on the edge,
AzureML
Wallaroo.AI integrates with AzureML and complments its capabilities to fill the gaps for ML model serving
Databricks
Wallaroo.AI integrates with Databricks and complments its capabilities to fill the gaps for ML model serving
Google Cloud Platform
Cloud platform supported by Wallaroo.AI used for deploying and running ML models in production
Grafana Labs
Allows query, visualization, alert on, and understanding of metrics no matter where they are stored. Wallaroo.AI integrates with Grafana
Helm
A package manager which Wallaroo.AI supports that helps provide the resources to install, upgrade and manage an application to a Kubernetes cluster
Hugging Face
Wallaroo.AI supports tools from Hugging Face that helps get models trained and into production faster
Intel
One of the world's largest semiconductor chip manufacturer by revenue, and is one of the developers of the x86 series of instruction sets. Wallaroo.AI runs on Intel hardware
Jupyter Notebooks
Wallaroo.AI allows you to use these notebook for experimentation and visualization
Microsoft Azure
Cloud platform used for deploying and running AI models in production for which Wallaroo.AI has an optimized solution
MLflow
Open source platform for managing the end-to-end machine learning lifecycle that Wallaroo.AI integrates with MLflow
Nvidia
Supplier of artificial intelligence hardware and software. Its professional line of GPUs are used in workstations for applications in such fields as architecture, engineering and construction, media and entertainment, automotive, scientific research, and manufacturing design. Wallaroo.AI runs on Nvidia hardware
ONNX
Wallaroo.AI pipelines support the ONNX standard and models converted using the Model autoconversion method. ONNX is an open-source standard for representing deep learning models to make it easier for researchers and engineers to move models between different deep-learning frameworks and hardware platforms.
Open Grid Alliance
A collection of leading-edge public and private organizations (including Wallaroo.AI) focused on developing the fabric of compute, data and intelligence to enable contextually aware, immersive AI applications at the edge, on demand
Oracle Cloud Infrastructure
Cloud platform used for deploying and running ML models in production for which Wallaroo.AI has an optimized solution
Pandas
A Python library supported by Wallaroo.AI for data analysis and manipulation
Python
Coding language commonly used in deploying and running AI models
PyTorch
A library used by Wallaroo.AI for developing and training neural network based deep learning models
scikit-learn
A library used by Wallaroo.AI for developing and training predictive models over structured data
Tableau
Data visualization tool used for data analysis and business intelligence. Used in the MLOps lifecycle. Wallaroo.AI integrates with Tableau
Tensorflow
Open source library supported by Wallaroo.AI that is used for data automation, model tracking, performance monitoring, and model retraining usedby Wallaroo in model serving
VMware
A key Wallaroo.AI partner with whom we work on joint solutions for AI on the edge
XGBoost
A library used by Wallaroo.AI for developing and training predictive models over structured data
Your data. Your tools. Your ecosystem.
No need to replace your data platform or change the popular tools your data scientists use to build models.