Deploy and operate private AI without hassle on any infra.
Battle-tested in critical industries, from healthcare to public sector.
Run AI from a single interface on any infrastructure
Staying in control of your computing costs, complying with data processing regulations and preventing vendor lock-in is difficult.
UbiOps offers a single, unified interface for you to deploy your workloads, whether you are operating locally, in a hybrid environment or across multiple clouds.
Streamline AI operations with minimal overhead
Building and maintaining AI infrastructure is costly and time-consuming.
UbiOps offers a turn-key solution with built-in MLOps features, including version control, environment management, monitoring, auditing, security, team collaboration and governance.
Cut overhead and development costs with 80%.
From AI pilot to production, seamlessly
Moving your AI models beyond the pilot phase and towards a fully functional deployed solution is time-consuming and complex.
UbiOps simplifies this process with a comprehensive platform that enables fast, seamless AI deployment across any infrastructure – saving you months of development effort.
From pre-trained LLMs to computer vision and traditional data science models, deploy instantly into fully functional AI applications.
ISO27001 and NEN7510 certified
Maximize efficiency, cut GPU costs
Trying to make optimal use of your available GPUs while running large AI models requires a lot of knowledge and development time.
UbiOps has smart automatic scaling of resources for your models. This allows you to scale your workloads dynamically while minimizing costs.
Leverage both on-premise and cloud environments and save costs while optimally using available compute resources.
We work on projects that matter
Designed for
AI Teams
- Stop spending valuable time on building and maintaining AI infrastructure and focus on creating models instead.
AI Leaders
- Go 10x faster to market with your AI applications and reduce overhead and compute costs at the same time.
IT Teams
- Avoid vendor lock-in and shadow IT. Control AI workloads from a single platform across hybrid or multi-cloud environments.
Seamlessly deploy and run AI models across any environment. Locally, Hybrid & Multi-cloud.
- Easily source resources from different clusters, without the need to install and manage Kubernetes.
- Orchestrate AI seamlessly across Kubernetes, Virtual Machines and even Bare Metal.
From Generative AI to Computer vision
Deploy your AI models as scalable inference endpoints, including pre-trained LLMs.
