Technology Partners
Partners
Technology Partners
The Artificial Intelligence Infrastructure Alliance (AIIA) is a consortium of leading artificial intelligence startups with a mission to help every company realize the infinite potential of AI. Formed in February 2021, the Alliance is focused on tying together the complex web of existing AI technologies into a single Canonical Stack, providing the infrastructure on which any company—from tiny startups to global enterprises—can run impactful AI projects. Founding members include Pachyderm, Seldon, Determined AI, Algorithmia, Tecton, ClearML by Allegro AI, Neu.ro, ZenML by Maiot, DAGsHub, TerminusDB, WhyLabs, YData, Superb AI, Valohai, Superwise.ai, Full Stack Machine Learning Operating System | cnvrg.io , Arize AI, CometML, Iguazio, UbiOps, and Fiddler. To learn more about the AIIA or to become a member, visit AI Infrastructure Alliance
Technology Partners
You may know us for our processors. But we do so much more. Intel invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth. Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel is disrupting industries and solving global challenges. Leading on policy, diversity, inclusion, education and sustainability, we create value for our stockholders, customers, and society.
Technology Partners
Reach production AI faster by creating and managing unstructured training data in one place so you can focus on building the next big thing.
Technology Partners
NVIDIA and DataRobot Bring GPU-Accelerated AI to the Enterprise
Confidently Secure and Observe Your AI
Safeguard against risk and vulnerabilities with NVIDIA’s AI architecture orchestration and DataRobot’s AI observability, monitoring and security.
- Ensure consistent serving and monitoring of deep learning and LLM models with NVIDIA Inference Microservices on the DataRobot AI Platform.
- Run commercial and open source LLMs natively on NVIDIA’s open-source, GPU-Optimized Triton Inference Server within DataRobot.
- Avoid hallucinations, and ensure that your models are adhering to your safety and security requirements by applying NVIDIA NeMo guard models and DataRobot’s library of guards to your GenAI applications.
- Match your exact security, monitoring needs using DataRobot’s custom metrics collection and NVIDIA guardrails.
Deploy a State-of-the-Art AI Infrastructure Fast
Eliminate the infrastructure complexity needed to build, govern and operate AI at scale with NVIDIA’s “Operating System” for AI and DataRobot’s end-to-end AI platform.
- Stand up a highly scalable GPU-powered AI infrastructure on-premises, on your VPC, or in a privately managed environment in moments.
- Get the value you expect out of your AI with effortless cost tracking.
- Remove the requirement to set up and oversee individual systems for each LLM or generative AI application with built-in GPUs for inference.
- Optimize AI inference with streamlined model orchestration and higher performance using Triton Inference Server on DataRobot.
Rapidly Develop AI
Get limitless compute and accelerate your AI projects with NVIDIA GPUs on DataRobots.
- Launch a large cluster of NVIDIA compute nodes easily in DataRobot – no DevOps required.
- Manage quality and ROI of your AI project with out-of-the-box performance and cost monitoring tools.
- Compare and build with best-of-breed components, including the Nemotron-3-8b family of models, ensuring your AI applications meet your exact business needs.
- Enhance end-to-end AI performance and data processing at scale with a suite of GPU-accelerated data science and AI libraries.
Generative AI applications are key to helping businesses boost productivity with unprecedented personalization, product development and operations optimization. Our partnership with DataRobot enhances productivity for practitioners and developers by reducing LLM deployment times from weeks to just a few minutes and maximizing inference performance efficiency to supercharge production AI for customers.
NVIDIA Inference Microservices on the DataRobot AI Platform
Technology Partners
Unlock the Transformative Power of AI
DataRobot and Palantir solutions apply AI seamlessly across the enterprise to support their business decisions and solve complex challenges. DataRobot’s AI platform, layered seamlessly on top of Palantir’s Foundry platform, provides robust, flexible AI solutions to customers.
The DataRobot and Palantir framework ( above) allows customers to create, test, and deploy AI models into production based on a single source of consolidated data. Both technical and non-technical users can easily use the AI tool to model, forecast, and monitor their AI models across the enterprise.
Technology Partners
Qlik Sense brings together all of your data, and DataRobot empowers highly capable business analytics professionals to quickly build and deploy very accurate machine learning models without writing a single line of code.
The Qlik and DataRobot two-way integration enables organizations to deploy predictions in a fully interactive experience. Once a predictive model has been created and deployed in DataRobot, making predictions against the new data being generated each day is critical. Through a seamless request in a Qlik Sense application refresh, the new predictions are associated in your data model to drive insight. All of this is possible using the Qlik2DataRobot client and server-side extensions, which leverage the unique integration capabilities of the patented Qlik associative engine. Enterprises of all sizes can now get to predictive insight in less time with Qlik and DataRobot.
Technology Partners
SAP and DataRobot
Power Your Business Processes with Generative and Predictive AI.
Stay Ahead with Relevant AI
Harness the transformative power of generative and predictive AI to redefine your core business processes through our seamless integration.
Deploy Reliable AI
Reach your business objectives with the guidance of our AI experts. Benefit from our extensive experience, detailed case studies, and AI Accelerator templates to confidently deploy your AI initiatives.
Commit to Responsible AI Operations
Stay ahead with proactive management, monitoring, and governance of your AI production pipelines, all within the SAP ecosystem.
This partnership between the two brings together DataRobot’s multimodal machine learning capabilities with SAP’s extensive business data and processes to create business-centric AI solutions.
Integration
Equip yourself with the necessary infrastructure and capabilities for your generative and predictive AI initiatives with the DataRobot AI platform and AWS.
Together, we empower you to develop your way, deploy in your preferred location while leveraging optimal operations and governance, ensuring a streamlined and efficient AI journey.
Deployment Options
- Azure, AWS, Google Cloud – Single-Tenant SaaS
- Azure, AWS, Google Cloud – VPC installation
- DataRobot Multi-Tenant SaaS
Explore Related Resources
Technology Partners
Break Down Data and AI Silos
Securely connect from DataRobot to Snowflake to harness all your data and rapidly transform it into predictive and generative AI solutions.
Build, Deploy, and Scale AI at Scale
Combine the power of Snowpark with the optionality of DataRobot to effortlessly scale, manage and govern AI across your organization.
Secure Your AI Assets
Run your data transformation and AI production pipelines within your Snowflake environment to minimize data movement and streamline security and governance.
With DataRobot’s AI Platform, our joint customers have the ability to easily prepare, train, and deploy the most advanced machine learning models on top into their Snowflake environment, solving their unique business problems quickly, efficiently, and securely.
We’ve been able to leverage DataRobot to help improve projections and fraudulent data. DataRobot gives us prediction explanations, which helps drive our users in the direction we think is best fit for them.
Within the last couple of years, we’ve been using Snowflake to now pull the data from DataRobot using an API and then pushing our results and our predictions back into Snowflake from DataRobot.
Integration
DataRobot and Snowflake offer a seamless data to AI lifecycle solution, allowing you to effortlessly scale AI across your organization and rapidly deliver value.
This integration not only harnesses the full potential of your Snowflake environment but also accelerates your predictive and generative AI initiatives.
Deployment Options
- Azure, AWS, Google Cloud – Single-Tenant SaaS
- Azure, AWS, Google Cloud – VPC installation
- DataRobot Multi-Tenant SaaS
Explore Related Resources
Technology Partners
Tamr’s patented software fuses the power of machine learning with your knowledge of your data to automate the rapid unification of data silos, at scale. What new insights could you find if data unification was no longer the bottleneck?
Technology Partners
Our mission is to enable analytics at “human scale” and put search-driven analytics in the hands of 20M users by 2020. It’s an ambitious goal, but we love solving hard problems with humility and empathy. ThoughtSpot makes it easy for anyone to get answers from their company data in seconds. Simply search to analyze your data and get automated insights with a single click.
Technology Partners
Accelerate the path to AI by automating increasingly complex tasks and go beyond human capabilities.
There are huge possibilities in the synergy between Robotic Process Automation (RPA) and Machine Learning (ML) – providing intelligence to automated processes that can evolve and improve as more data gets examined and trained. This allows for ever-improving processes. The convergence of RPA and ML will over time enable RPA to automate increasingly more complex tasks and eventually automate beyond human capabilities.
The combination of UiPath and DataRobot unlocks AI-Driven Process Automation, an emerging suite of business improvements that assist the knowledge worker by automating repetitive tasks and freeing you up to focus on creative and challenging problems. By infusing machine learning into rules-based processes, AI-Driven Process Automation can mimic the actions of humans which leads to increased worker performance, reduction of operational risks, and improved response times and customer journey experiences.
