UbiOps is NVIDIA AI Enterprise partner: pioneering the future of AI
UbiOps now supports using NVIDIA AI Enterprise certified software container environments as a foundation for workloads running in UbiOps.
Significant step for AI market
‘’UbiOps' team is thrilled with the collaborative venture alongside NVIDIA. This particular partnership opens up an exciting era of innovation, where we combine our strengths to deliver a game-changing NVIDIA AI Enterprise / UbiOps solution to the market.''
This partnership will let organizations use NVIDIA AI Enterprise frameworks and SDKs, on the UbiOps AI Infrastructure platform.
Now teams can leverage these certified NVIDIA environments for their AI and ML workloads running on UbiOps.
Model training
UbiOps' partnership with NVIDIA AI Enterprise introduces organizations to a software stack for model training. With the NVIDIA ecosystem and UbiOps, users can leverage AI frameworks like TensorFlow to train and improve machine learning models efficiently and cost effectively. This integration ensures that organizations have the tools they need to get the most from their training processes, accelerating time-to-insight and time-to-deployment.
Powerful data pipelines
The UbiOps 'Pipeline' feature grants users the ability to create modular AI applications by chaining together deployments, each with their own customizable computing configurations. These integrations make it possible for organizations to achieve faster, more efficient, more cost-effective operations and better outcomes for their AI and ML initiatives.
Powerful AI inference, also for GenAI & LLMs
The UbiOps platform, in conjunction with NVIDIA AI Enterprise, delivers a powerful inference solution for all types of data science & AI models. Organizations can now tap into NVIDIA's cutting-edge tools and SDKs on UbiOps for deploying their inference workloads in local, cloud, or hybrid environments. This means organizations can effortlessly deploy and execute AI and ML workloads with the power of NVIDIA hardware and tooling.
Performance optimization for AI workloads
With integrations for performance optimization, including TensorRT and Rapids, organizations can boost the performance of their AI and ML workflows. TensorRT, NVIDIA's deep learning inference optimizer, ensures that models run with peak efficiency, providing rapid, low-latency inference. Rapids, an open-source data science framework from NVIDIA, can be used to accelerate data preparation and model training.
UbiOps & NVIDIA AI Enterprise Deployment Guide
Providing the best AI Infrastructure
"Becoming an NVIDIA AI Enterprise partner is a big step on our mission to provide data science & AI teams with the best infrastructure and capabilities for running and managing their AI workloads to build production ready AI services. Letting our users leverage the certified NVIDIA software stack and containers provides them with the right tools and technologies to build and run cutting edge AI applications." -
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