RunPod
RunPod provides a cloud infrastructure that enables seamless deployment and scaling of AI workloads with GPU-powered pods. By offering access to a wide array of NVIDIA GPUs, such as the A100 and H100, RunPod supports training and deploying machine learning models with minimal latency and high performance. The platform emphasizes ease of use, allowing users to spin up pods in seconds and scale them dynamically to meet demand. With features like autoscaling, real-time analytics, and serverless scaling, RunPod is an ideal solution for startups, academic institutions, and enterprises seeking a flexible, powerful, and affordable platform for AI development and inference.
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LeanData
LeanData’s no-code Go-to-Market Execution platform helps leading B2B companies make smarter decisions and drive stronger revenue outcomes. By unifying data, tools, and teams, LeanData empowers organizations like Nvidia, Cisco, and Palo Alto Networks to streamline operations, accelerate pipeline, and deliver better customer experiences — from first signal to closed-won.
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NVIDIA AI Data Platform
NVIDIA's AI Data Platform stands as a robust solution aimed at boosting enterprise storage capabilities while optimizing AI workloads, which is essential for the creation of advanced agentic AI applications. By incorporating NVIDIA Blackwell GPUs, BlueField-3 DPUs, Spectrum-X networking, and NVIDIA AI Enterprise software, it significantly enhances both performance and accuracy in AI-related tasks. The platform effectively manages workload distribution across GPUs and nodes through intelligent routing, load balancing, and sophisticated caching methods, which are crucial for facilitating scalable and intricate AI operations. This framework not only supports the deployment and scaling of AI agents within hybrid data centers but also transforms raw data into actionable insights on the fly. Furthermore, with this platform, organizations can efficiently process and derive insights from both structured and unstructured data, thereby unlocking valuable information from diverse sources, including text, PDFs, images, and videos. Ultimately, this comprehensive approach helps businesses harness the full potential of their data assets, driving innovation and informed decision-making.
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NVIDIA GPU-Optimized AMI
The NVIDIA GPU-Optimized AMI serves as a virtual machine image designed to enhance your GPU-accelerated workloads in Machine Learning, Deep Learning, Data Science, and High-Performance Computing (HPC). By utilizing this AMI, you can quickly launch a GPU-accelerated EC2 virtual machine instance, complete with a pre-installed Ubuntu operating system, GPU driver, Docker, and the NVIDIA container toolkit, all within a matter of minutes.
This AMI simplifies access to NVIDIA's NGC Catalog, which acts as a central hub for GPU-optimized software, enabling users to easily pull and run performance-tuned, thoroughly tested, and NVIDIA-certified Docker containers. The NGC catalog offers complimentary access to a variety of containerized applications for AI, Data Science, and HPC, along with pre-trained models, AI SDKs, and additional resources, allowing data scientists, developers, and researchers to concentrate on creating and deploying innovative solutions.
Additionally, this GPU-optimized AMI is available at no charge, with an option for users to purchase enterprise support through NVIDIA AI Enterprise. For further details on obtaining support for this AMI, please refer to the section labeled 'Support Information' below. Moreover, leveraging this AMI can significantly streamline the development process for projects requiring intensive computational resources.
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