UbiOps is a powerful AI model serving and orchestration platform that simplifies deploying and managing AI workloads across hybrid or multi-cloud environments. Streamline your AI operations with built-in MLOps, GPU support, and seamless scalability—cut costs by 80% and accelerate time-to-production for LLMs, computer vision, and data science models.
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Published:
2024-09-13
Created:
2025-05-03
Last Modified:
2025-05-03
Published:
2024-09-13
Created:
2025-05-03
Last Modified:
2025-05-03
UbiOps Product Information
What is UbiOps?
UbiOps is an AI model serving and orchestration platform designed to simplify deploying and managing AI workloads. It provides a unified interface to run models locally, in hybrid clouds, or across multi-cloud environments, eliminating the need for Kubernetes management. Ideal for generative AI, computer vision, and data science, it streamlines production with built-in MLOps features like API management, scaling, and monitoring.
Who will use UbiOps?
UbiOps is tailored for AI teams, IT leaders, and data scientists across industries like healthcare, public sector, and critical infrastructure. AI teams focus on model development instead of infrastructure, IT leaders avoid vendor lock-in, and organizations needing scalable, compliant AI solutions benefit from its hybrid-cloud flexibility and cost efficiency.
How to use UbiOps?
- Sign up for a free account on the UbiOps platform.
- Deploy AI models via the intuitive interface or API, supporting frameworks like TensorFlow and PyTorch.
- Orchestrate workloads across Kubernetes, VMs, or bare metal without manual setup.
- Monitor and scale models using built-in tools for performance optimization.
- Integrate with existing systems through technical connectors and NVIDIA AI Enterprise.
In what environments or scenarios is UbiOps suitable?
UbiOps excels in hybrid or multi-cloud environments, critical industries (healthcare, public sector), and real-time AI applications like computer vision or generative AI. It’s ideal for teams needing centralized AI management, cost control, and compliance without infrastructure overhead. Scenarios include deploying LLMs, IoT data analysis, and scalable model inferencing with on-demand GPUs.
UbiOps Features & Benefits
What are the core features of UbiOps?
- AI model serving and orchestration across local, hybrid, and multi-cloud environments.
- On-demand GPU scaling for AI and machine learning workloads.
- Built-in MLOps features like API management, version control, and monitoring.
- Seamless deployment of AI models without Kubernetes management.
- Support for diverse AI applications, including Generative AI and Computer Vision.
What are the benefits of using UbiOps?
- Reduces AI deployment costs by up to 80% and accelerates time-to-market.
- Prevents vendor lock-in with flexible infrastructure options.
- Centralizes AI management to avoid shadow IT and ensure compliance.
- Simplifies scaling for real-time workloads like computer vision and LLMs.
- Offers turn-key solutions with security, auditing, and resource prioritization.
What is the core purpose and selling point of UbiOps?
- Simplifies AI model deployment and orchestration on any infrastructure.
- Eliminates the need for Kubernetes expertise with a unified interface.
- Enables hybrid and multi-cloud AI workflows for cost and compliance control.
- Focuses on speeding up AI production while reducing overhead.
- Trusted by critical industries like healthcare and public sectors.
What are typical use cases for UbiOps?
- Deploying Generative AI models (e.g., LLMs like LLaMA or Mistral) at scale.
- Real-time computer vision applications in agriculture or security.
- Managing time-series data for IoT and critical infrastructure monitoring.
- Healthcare AI, such as personalized medicine and diagnostics.
- Multi-cloud AI orchestration for enterprises avoiding vendor lock-in.
FAQs about UbiOps
What is UbiOps and what does it do?
UbiOps is an AI model serving and orchestration platform that simplifies deploying and managing AI workloads across any infrastructure. It provides a single interface to run AI models locally, in hybrid clouds, or across multiple clouds, eliminating the need to manage Kubernetes. UbiOps helps organizations reduce costs, comply with regulations, and prevent vendor lock-in while accelerating AI deployment.
How does UbiOps help with AI model deployment?
UbiOps streamlines AI model deployment by offering built-in MLOps and orchestration features. It enables seamless transition from pilot to production, reducing deployment time by months and cutting costs by up to 80%. The platform supports various AI models including LLMs, computer vision, and traditional data science models with features like version control, scaling algorithms, and monitoring.
Can UbiOps handle GPU-intensive AI workloads?
Yes, UbiOps offers on-demand GPU support to instantly scale AI and machine learning workloads. This feature allows users to efficiently run compute-intensive tasks like computer vision and generative AI models without worrying about infrastructure management, making it ideal for demanding AI applications.
What industries can benefit from using UbiOps?
UbiOps serves multiple industries including healthcare, public sector, and critical infrastructure. It's particularly valuable for organizations needing secure, compliant AI solutions. Specific applications range from personalized medicine in healthcare to digital security solutions for government agencies and computer vision in agriculture.
Does UbiOps support hybrid cloud deployments?
Yes, UbiOps specializes in hybrid cloud deployments for AI workloads. The platform allows you to orchestrate AI seamlessly across different environments including Kubernetes, Virtual Machines, and Bare Metal, giving you flexibility while maintaining centralized control over your AI infrastructure.
What MLOps features does UbiOps provide?
UbiOps includes comprehensive MLOps features such as API management, version control, automatic scaling, monitoring, auditing, resource prioritization, security controls, and access management. These tools help AI and IT teams maintain control over production AI applications while reducing operational overhead.
How does UbiOps prevent vendor lock-in?
UbiOps prevents vendor lock-in by allowing deployment across any infrastructure - local, hybrid, or multi-cloud. This flexibility means you're not tied to a specific cloud provider and can move workloads as needed. The platform's unified interface maintains consistency regardless of underlying infrastructure changes.
Can UbiOps deploy large language models (LLMs)?
Yes, UbiOps supports deployment of large language models (LLMs) along with other AI model types. The platform provides specialized capabilities for generative AI applications, enabling quick deployment of models like LLaMA, Mistral, and Falcon with minimal setup time.
What support options are available for UbiOps users?
UbiOps offers multiple support options including comprehensive documentation, video guides, tutorials, a Slack community, and direct support through their service desk. They also provide training programs and technical resources for both new and advanced users to maximize platform utilization.
Is there a free trial available for UbiOps?
Yes, UbiOps offers a free trial that allows users to test the platform's capabilities. You can sign up through their website to experience the AI model serving and orchestration features before committing to a paid plan.
UbiOps Company Information
Company Name:
UbiOps
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No analytics data available for this product yet.
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UbiOps's Competitors and Alternatives
- AWS SageMaker
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