ubiops
UbiOps is an AI model serving and orchestration platform that lets teams run, manage and scale AI and machine learning workloads on any infrastructure (local, hybrid or multi‑cloud) with built-in MLOps, orchestration and governance features.
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Quick Overview
Best for: AI Agents
What it does
AI Agents software for decision-makers comparing workflow fit and alternatives.
Best fit
AI Agents
Pricing snapshot
Free
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ubiops
UbiOps provides a single interface to run, manage and scale AI and machine learning workloads on any infrastructure — locally, in hybrid deployments or across multiple clouds. The platform emphasizes control over compute costs, regulatory compliance and avoidance of vendor lock-in while enabling teams to move from AI pilot to production. UbiOps bundles orchestration and MLOps capabilities (API management, version control, scaling algorithms, monitoring, auditing, resource prioritization, security and access management) so AI and IT teams can deploy and operate models — from LLMs to computer vision and traditional data science — without building and maintaining custom infrastructure.
AI model serving and orchestration platform for deploying and managing AI workloads.
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Claim this listing for $29Key Features
Multi‑environment orchestration
Run and orchestrate AI workloads locally, in hybrid cloud setups or across multiple clouds from a single interface.
Built‑in MLOps & governance
Includes API management, version control, scaling algorithms, monitoring, auditing, resource prioritization, security and access management.
On‑demand GPU scaling
Support for on‑demand GPU compute to instantly scale AI and machine learning workloads.
Infrastructure flexibility
Orchestrate across Kubernetes, Virtual Machines and Bare Metal without requiring users to install and manage Kubernetes.
Support for diverse AI workloads
Designed to deploy and run LLMs, computer vision models and traditional data science applications.
Pricing
A 'Try for free' option is offered on the site, but no detailed pricing or plan information is provided on the referenced page.
Use Cases
Scaling computer vision workloads
Customers use UbiOps to scale computer vision models across GPUs and production environments.
Personalized medicine & healthcare AI
Used in healthcare scenarios such as personalized medicine for immunotherapy treatment.
IoT & infrastructure optimization
Applied to projects like optimization of district heating grids using IoT data.
Large‑scale data processing
Platforms and customers process and analyze large amounts of data and many AI/data science applications (the site references '50+ AI and data science apps').
Integrations
NVIDIA AI Enterprise
Listed in resources; indicates compatibility or integrations with NVIDIA AI Enterprise technologies.
GitHub
GitHub is listed under resources, indicating links or integration examples in the project's resources.
Kubernetes, Virtual Machines & Bare Metal
Platform can orchestrate workloads across Kubernetes, VMs and Bare Metal environments.
Slack Community
The site references a Slack Community for research & education and community engagement.
Benefits
Limitations
No verified limitations are available.
Frequently Asked Questions
No verified FAQs are available.
Getting Started
- 1 Try for free or Book a demo via the site to evaluate the platform.
- 2 Use available documentation, tutorials and video guides (Documentation and Resources sections) to learn deployment and operations workflows.
- 3 Deploy models through the UbiOps interface and manage them with the built‑in MLOps and orchestration features.
Support
Documentation
Documentation, tutorials, video guides and technical integrations are provided via the site's Resources and Documentation sections.
Contact / Sales
Contact Us and Book a demo options are available on the site for sales and enquiries.
Community
A Slack Community is mentioned for research & education engagement.
API
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