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UbiOps

Paid

Run, manage & scale your Private AI on any infrastructure

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Saas
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UbiOps
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About UbiOps

UbiOps is a platform designed for powerful model serving and orchestration for AI & ML projects, eliminating the complexities of managing Kubernetes and cloud infrastructure. It offers a single interface to run AI workloads locally, in a hybrid cloud, or across multiple clouds. UbiOps simplifies AI production, enabling users to deploy models instantly into fully functional AI applications, from LLMs to computer vision and traditional data science models. It provides built-in MLOps and orchestration features, including API management, version control, scaling algorithms, monitoring, auditing, resource prioritization, security, and access management.

How to Use

UbiOps allows users to deploy AI models through a single interface, regardless of the infrastructure. Users can manage their AI workloads locally, in a hybrid cloud, or across multiple clouds. The platform provides tools for API management, version control, scaling, monitoring, and security, enabling seamless transition from AI pilot projects to production.

Key Features

  • Model serving and orchestration
  • API management
  • Version control
  • Scaling algorithms
  • Monitoring and auditing
  • Resource prioritization
  • Security and access management
  • Hybrid and multi-cloud deployment

Use Cases

  • Scaling computer vision workloads across GPUs
  • Innovating with AI towards a digitally secure Netherlands
  • Processing and analyzing large amounts of data with multiple AI applications
  • Personalized medicine with AI for immunotherapy treatment
  • Optimization of district heating grids with IoT data

Key Features

Model serving and orchestration
API management
Version control
Scaling algorithms
Monitoring and auditing
Resource prioritization
Security and access management
Hybrid and multi-cloud deployment

Pros & Cons

Pros
  • Eliminates Kubernetes and infrastructure management complexity
  • Reduces compute costs by up to 80%
  • Accelerates time to market by months
  • Supports any infrastructure (on-premise, cloud, hybrid) with no vendor lock-in
  • Built-in MLOps and compliance features
  • Quick onboarding; non-cloud engineers learn in under 30 minutes
Cons
  • No self-serve or transparent pricing; requires contacting sales
  • Primarily enterprise-focused; may be overkill for small projects or individuals

Best For

Scaling computer vision workloads across GPUsInnovating with AI towards a digitally secure NetherlandsProcessing and analyzing large amounts of data with multiple AI applicationsPersonalized medicine with AI for immunotherapy treatmentOptimization of district heating grids with IoT data

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FAQ

What infrastructure does UbiOps support?
UbiOps supports any infrastructure: local, hybrid cloud, multi-cloud, Kubernetes, virtual machines, and bare metal.
How quickly can I deploy models with UbiOps?
UbiOps allows you to go from AI pilot to production seamlessly, saving months of development time. Engineers without cloud experience can learn to work with UbiOps within 30 minutes.
Is UbiOps secure?
Yes, UbiOps offers built-in security, auditing, and access management. It can be deployed on private infrastructure for full control and compliance.
What types of AI models can I deploy?
UbiOps supports LLMs, computer vision models, traditional data science models, and more—deploy them instantly into fully functional AI applications.