DataRobot, the Leading AI Platform Supercharged With NVIDIA

Introduction

DataRobot with NVIDIA technology—the premier AI platform at the forefront of value-driven AI innovation—announced that it will provide world-class performance, security, and efficiency across the entire AI lifecycle. Utilize the NVIDIA NIM microservices, which are part of NVIDIA AI Enterprise, to swiftly deploy pre-configured generative AI models to the cloud, data center, and workstations. Utilize pre-built model container microservices in the DataRobot AI Platform to attain optimal speed, security, and scalability. These microservices have been tuned for execution on top of NVIDIA devices. Use GPU-powered infrastructure in any setting to speed up the deployment, replacement, and monitoring of deep learning and LLM models, whether it’s on-premises or in the cloud.

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Why Does This News Matter?

• Use NVIDIA Triton Inference Server to natively integrate and operate both commercial and open-source LLMs. Ensure complete flexibility while enhancing GPU infrastructure performance.
• Use NVIDIA NeMo Guardrails and DataRobot’s custom metrics to keep an eye on and control LLMs. Align models with safety and security criteria by applying NVIDIA NeMo Guardrails to DataRobot LLM designs. Alter and combine these models with DataRobot’s bespoke metrics to support particular monitoring needs.
• Evaluate the current state of LLM blueprint techniques, taking into consideration the NVIDIA Nemotron-3-8B LLMs. Get the visibility and performance you need to build generative AI applications that are custom-tailored to your organization using best-in-class LLMs. Then, give your customers the best solution possible.
• Inside DataRobot Notebooks, use the NVIDIA RAPIDS libraries. Boost your data processing and artificial intelligence pipelines from start to finish with a collection of libraries optimized for graphics processing units (GPUs).

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Benefits

• Value-Driven AI Innovation: DataRobot with NVIDIA technology offers premier AI solutions, ensuring world-class performance, security, and efficiency throughout the AI lifecycle.
• Swift Deployment: Utilize NVIDIA NIM microservices to deploy pre-configured generative AI models rapidly across cloud, data center, and workstations.
• Optimal Speed and Scalability: DataRobot AI Platform’s pre-built model container microservices, tuned for NVIDIA devices, ensure optimal speed, security, and scalability.
• Flexible Integration: Use NVIDIA Triton Inference Server for seamless integration and operation of commercial and open-source large language models (LLMs) with enhanced GPU infrastructure performance.
• Safety and Security Control: Employ NVIDIA NeMo Guardrails and DataRobot’s custom metrics to monitor and control LLMs, aligning with safety and security criteria.
• Performance Enhancement with Libraries: Utilize NVIDIA RAPIDS libraries within DataRobot Notebooks to boost data processing and AI pipelines, optimized for GPUs.