UbiOps

AI Model Serving & Orchestration

56 followers

AI Model Serving & Orchestration

56 followers

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Powerful model serving and orchestration for your AI & ML projects, without the hassle of managing Kubernetes & cloud infrastructure.

Free Options

Launch tags:SaaS•Developer Tools•Artificial Intelligence

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UbiOps

Maker

📌

👀 WHAT IS UBIOPS UbiOps is a powerful AI deployment and orchestration platform, designed to supercharge your data science teams. It simplifies the deployment of AI models across any infrastructure—whether on-premise, hybrid, or multi-cloud—making your AI ambitions a reality in no time. 🎯 WHO IT’S FOR UbiOps is the ideal solution for: - Data Scientists: Streamline the deployment and management of your AI and ML models. - IT Teams: Ensure a smooth and secure integration and management process. - CTOs or Heads of Data Science: Accelerate AI projects while optimizing cost efficiency. 📖 OUR STORY We started just like you—building cutting-edge machine learning algorithms. But we soon realized that without a strong MLOps and infrastructure backbone, our projects would never progress beyond the proof-of-concept phase. That's why we created UbiOps: to help teams take their AI/ML models from concept to production seamlessly. 🌟 KEY FEATURES Optimize Compute with Rapid Adaptive Scaling: Effortlessly scale compute resources based on usage, eliminating idle time and cutting costs for your AI initiatives. Multiple Compute Environments, One Interface: Securely deploy and scale AI/ML models in your infrastructure or private cloud, while seamlessly extending into hybrid and multi-cloud environments — all through a single, intuitive interface. Build Modular Applications with Pipelines: Build and customize ML workflows, enabling more efficient and scalable AI applications. 🙌 Follow us on socials We are constantly improving our application based on feedback from our active community of users. So your feedback, questions, and suggestions are very important to us - we’d love to hear from you! Thank you for considering UbiOps for your AI deployment needs. Let's unlock the true potential of AI, together! 🚀

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2yr ago

DesignRevision

@aadutr Congratulations on the launch of UbiOps, Anouk! This platform sounds like a game-changer for data science teams, simplifying AI model deployment and orchestration across various infrastructures. What inspired you to create UbiOps, and how has the response been from your initial users so far?

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2yr ago

@aadutr Congratulations on the release of UbiOps!🚀

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2yr ago

@aadutr Kudos to you for this launch! Wishing you and your team a fantastic journey ahead. What’s next on the horizon for your team?

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2yr ago

Telebugs

Hi Anouk, How does UbiOps handle scalability for large projects? And do you offer any integration with popular data science tools like Jupyter or TensorFlow? Congrats on the launch!

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2yr ago

UbiOps

Maker

@kyrylosilin Great question! UbiOps is really built for scale and we have been running production workloads from our customers for over 4 years now. UbiOps scales based on request traffic to deployments/AI models. So when the request queue for a deployment starts filling up, we will automatically spin up new "instances" of the deployment to handle the demand. When the traffic slows down and instances are idle, we will automatically scale them back down. A user has control over the scaling parameters we use for determining how fast a new instance should scale up or down. Since we know every Data Scientist has their own toolkit that they prefer, we kept UbiOps as framework agnostic as we can. Running things like TensorFlow or PyTorch or models from HuggingFace is very easy and we've got extensive tutorials with examples for it!

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2yr ago

DepsHub

Congratulations on the launch! Is the actual product open source?

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2yr ago

UbiOps

Maker

@semanser UbiOps is not open source no, but there is a free trial version (:

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2yr ago

Congrats on the launch... Soo excited.. Succes in the future

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2yr ago

Congratulations on the release. MLOps has always been critical, and the emergence of LLM has increased the challenge to MLOps. I want to know if UbiOps can control the resources of my private environment? If its underlying layer is not Kubernetes, how to solve the scheduling efficiency and stability?

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2yr ago

UbiOps

Maker

@jerry_ai Good question. UbiOps uses its own proprietary logic to handle scheduling of jobs on provided infrastructure, exposing several parameters to end users to control how scheduling and scaling happens ( min and max number of concurrent instances for a particular model, project based usage limits, MIG support, instance type priorities etc).

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2yr ago

Ubiops is a game-changer for AI/ML deployment, simplifying Kubernetes and cloud infrastructure management. Excited to see how it streamlines model deployment and boosts productivity for data science teams. Congrats! 🌟

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2yr ago

useful indeed! congrats on the lanuch!

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2yr ago

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