Deliver
intelligent applications
We are Certificate Experts
Agile and DevOps principle
Model
development
Provides an interactive, collaborative interface based on JupyterLab for exploratory data science and model training, tuning, and serving. Data scientists have continuous access to core AI/ML libraries, widely used frameworks, and an extensive array of images and workbenches to accelerate model experimentation.
Data science
pipelines
Allow data scientists and AI engineers to automate the steps to deliver and test models in development and production. Pipelines can be versioned, tracked, and managed to reduce user error and simplify experimentation and production workflows.
Model serving
frameworks
Serves models from providers and frameworks like Hugging Face, ONNX, PyTorch, TensorFlow, and others as well as popular serving runtimes like vLLM. Cluster resources, such as CPUs and GPUs, can be scaled across multiple nodes as workloads require.
Technology
partners
In addition to the capabilities provided in OpenShift AI, many technology partner products have been integrated into the user interface (UI). These include Starburst for distributed data access across diverse data sets, HPE for data lineage and versioning, NVIDIA for performance management of GPUs.
Features & benefits
Less time managing AI infrastructure
Tested and supported AI/ML tooling
Flexibility across the hybrid cloud
Leverage our best practices
Collaborating through model workbenches
Less time managing AI infrastructure
Provide your teams with on-demand access to resources, so they can self-service and scale their model training and serving environments as needed. Additionally, reduce operational complexity by managing AI accelerators (GPUs) and workload resources across a scalable clustered environment.
Tested and supported AI/ML tooling
Red Hat tracks, integrates, tests, and supports common AI/ML tooling and model serving on our Red Hat OpenShift application platform, so you don’t have to. OpenShift AI draws from years of incubation in Red Hat’s Open Data Hub community project and open source projects like Kubeflow.
Flexibility across the hybrid cloud
Offered as either self-managed software or as a fully managed cloud service on top of OpenShift, Red Hat OpenShift AI provides a secure and flexible platform that gives you the choice of where you develop and deploy your models–whether on-premise, the public cloud, or even at the edge.
Leverage our best practices
We provide services that allow you to install, configure and use Red Hat OpenShift AI to its fullest extent. Whether you’re looking to jumpstart your AI journey, up skill your ML platform team or need guidance on building your MLOps foundation, with our consulting service will provide support and mentorship.
Collaborating through model workbenches
Provide pre-built or customized cluster images to your data scientists to work with models using their preferred IDE, such as JupyterLab. Red Hat OpenShift AI tracks changes to Jupyter, TensorFlow, and PyTorch, and other open source AI technologies.
Every stage of the AI lifecycle
OpenShift AI Kubernetes platform enables data acquisition and preparation, model training and fine-tuning, model serving and model monitoring, and hardware acceleration.
Enterprise-grade platform for AI applications
Integrated MLOps platform for managing the lifecycle of predictive and foundation models and delivering AI-enabled applications at scale anywhere.
How we can help you
Assessment
Assessment services to evaluate your current technology inventory. Additionally, we provide strategic consultation on optimal implementation.
Implementation
We provide expert implementation and guidance on industry best practices and ensure seamless integration with your existing systems.
Maintenance
Our comprehensive AI maintenance services ensure your artificial intelligence systems continue to perform at peak efficiency while adapting to changing business needs.
55% of leading digital organization picked AI as a top new investment priority
58% of CIOs will spend more than 5% of their CY24 IT budget on Gen AI
40% of organizations looking to expand the use of AI to automate processes
66% Leaders are dissatisfied with their organization’s progress on AI and GenAI
We help customers to transform IT operations
Frequently Asked Questions
Anything else you’d like to know? Get in touch with our sales team and we’d be happy to discuss your questions.
What is OpenShift AI Platform?
Yes, OpenShift AI Platform can be tailored to meet the needs of small businesses as well as large enterprises. Its scalability and flexibility make it suitable for organizations of all sizes, enabling them to harness the power of AI to drive innovation and growth.
What are the key features of OpenShift AI Platform?
Yes, OpenShift AI Platform can be tailored to meet the needs of small businesses as well as large enterprises. Its scalability and flexibility make it suitable for organizations of all sizes, enabling them to harness the power of AI to drive innovation and growth.
Can OpenShift AI Platform integrate with existing IT infrastructure?
Yes, OpenShift AI Platform can be tailored to meet the needs of small businesses as well as large enterprises. Its scalability and flexibility make it suitable for organizations of all sizes, enabling them to harness the power of AI to drive innovation and growth.
How does OpenShift AI handle data privacy and governance?
Yes, OpenShift AI Platform can be tailored to meet the needs of small businesses as well as large enterprises. Its scalability and flexibility make it suitable for organizations of all sizes, enabling them to harness the power of AI to drive innovation and growth.
Is OpenShift AI Platform suitable for small businesses?
Yes, OpenShift AI Platform can be tailored to meet the needs of small businesses as well as large enterprises. Its scalability and flexibility make it suitable for organizations of all sizes, enabling them to harness the power of AI to drive innovation and growth.
Is there vendor lock-in with OpenShift AI?
Yes, OpenShift AI Platform can be tailored to meet the needs of small businesses as well as large enterprises. Its scalability and flexibility make it suitable for organizations of all sizes, enabling them to harness the power of AI to drive innovation and growth.
Accelerate innovation and time-to-market
Cloud Native certified experts
work closely with your internal development and operations teams during the adoption period of any Kubernetes platform.