What is UbiOps?
UbiOps is a powerful AI model serving and orchestration platform designed to simplify the deployment, scaling, and management of machine learning workloads without the complexity of Kubernetes or cloud infrastructure. It provides a single interface to run AI workloads locally, in a hybrid cloud, or across multiple clouds, offering flexibility and preventing vendor lock-in. With UbiOps, teams can instantly scale AI and ML workloads on GPU on-demand, cutting costs by up to 80% and saving months of development time.
The platform supports a wide range of use cases, from large language models (LLMs) and computer vision to traditional data science models, enabling rapid deployment into fully functional AI applications. Built-in MLOps and orchestration features include API management, version control, scaling algorithms, monitoring, auditing, resource prioritization, security, and access management. This turn-key solution empowers AI and IT teams to focus on innovation rather than infrastructure management.
Key benefits include cost efficiency through optimized resource utilization, compliance with AI regulations via auditing and access controls, and the ability to deploy across any infrastructure. UbiOps is ideal for organizations looking to streamline AI production, whether for internal tools, customer-facing applications, or research projects. Technical details include support for popular frameworks like TensorFlow, PyTorch, and ONNX, as well as custom environments via Docker. The platform handles auto-scaling based on demand, ensuring low latency and high availability.
UbiOps is headquartered in The Hague, Netherlands, with an office in Amsterdam. It is a trademark of Dutch Analytics B.V. For teams seeking to accelerate AI deployment while maintaining control over costs and infrastructure, UbiOps offers a robust, scalable solution.
Use Cases
Key Features
AI model serving orchestration platform GPU on demand scaling cost reduction up to 80% API management version control built in MLOps multi cloud deployment security and access management monitoring and auditingWho is it for?
AI teams, IT teams, data scientists, ML engineers, DevOps engineers, cloud architects, platform teams, enterprise organizations
