Web Application 4.3/5 WebKubernetesVirtual MachinesBare Metal
What is UbiOps?
Run, manage & scale your Private AI on any infrastructure without Kubernetes hassle. Deploy LLMs, CV models, and more.
UbiOps is a powerful AI model serving and orchestration platform that enables teams to run, manage, and scale private AI on any infrastructure—locally, hybrid, or multi-cloud—without the hassle of managing Kubernetes or cloud infrastructure. It provides a single interface for deploying and orchestrating AI workloads, from LLMs to computer vision, with built-in MLOps features like API management, version control, scaling, monitoring, and security. Designed for AI teams, AI leaders, and IT teams, UbiOps helps cut costs by up to 80% and accelerates time to production.
Key Features
check_circleSingle interface for AI workloads
check_circleDeploy on local, hybrid, multi-cloud
check_circleBuilt-in MLOps (API management, version control, scaling, monitoring, auditing)
check_circleSecurity and access management
check_circleResource prioritization
check_circleNo Kubernetes management required
check_circleSupports LLMs, computer vision, traditional ML
check_circleCost reduction up to 80%
check_circlePrevent shadow IT
check_circleVendor lock-in avoidance
Use Cases
lightbulbAI teams deploy and manage multiple models from a single interface, reducing infrastructure overhead and focusing on model development.
lightbulbAI leaders accelerate time-to-market for AI applications by 10x, cutting compute costs and avoiding vendor lock-in.
lightbulbIT teams control AI workloads across hybrid or multi-cloud environments, preventing shadow IT and ensuring compliance.
lightbulbHealthcare organizations run private AI models on-premises to comply with data regulations while scaling to cloud when needed.
lightbulbPublic sector agencies orchestrate AI across secure local and cloud infrastructure, maintaining audit trails and access control.
lightbulbEnterprises deploy LLMs and computer vision models into production instantly, turning pilots into fully functional applications.
AI model servingMLOpsorchestrationprivate AIhybrid cloudmulti-cloudKubernetes alternativeLLM deploymentcomputer visionAI infrastructure
