Harnessing the power of AI is a necessity for federal agencies. Today, many agencies are working hard on AI initiatives including generative AI that do not require a supercomputer. Indeed, a lot of AI development — and increasingly AI deployment, notably at the edge — is actually taking place on powerful workstations. Delve deeper into why it actually makes sense for Federal Agencies to develop and deploy AI technology on Workstations; and see if this option makes sense for your agency.
Traditional design workflows make it difficult for engineers to fully explore the design space and quickly come up with solutions to emerging challenges. By enabling engineers to perform AI model training on workstations and then leverage rapid validation via reduced order models (ROMs) during the early stages of design, advanced engineering workstations play a key role in the evolution of more accessible and automated design and simulation scenarios.
Read more about how Federal Agencies are deploying AI on workstations for design and engineering workflows.
Deploying AI on workstations verses on servers or in the cloud makes sense, but you might have questions. What does the development life cycle entail? What are the advantages of deploying AI on workstations versus servers or in the cloud? What are some of the use cases where Federal Agencies are deploying AI on workstations? These questions and more are explained in this infographic. Click here to see more.
Many federal agencies today are actively engaged in AI initiatives, including generative AI, without requiring supercomputers. In fact, a significant portion of AI development — and increasingly, AI deployment — takes place on powerful workstations, because workstations offer several advantages. Read this white paper to understand more about why Federal Agencies are increasingly deploying AI on workstations, and see if this option might benefit your agency.
Check out NVIDIA’s new AI Workbench demo for a hybrid Retrieval Augmented Generation project on GitHub. This project allows you to run a RAG application that can use different sources for inference; from GPU on a local machine, to a cloud endpoint, or a self-hosted microservice.
Watch this 4 minute tutorial on how to deploy AI on Precision workstation using NVIDIA’s AI workbench and a GitHub account.
There are many advantages to deploying AI on workstations. Workstations are an underappreciated yet powerful solution for AI prototyping, development and deployment. They offer an affordable alternative to cloud-based AI infrastructure, providing agencies with lower capital expenditures, reduced operating costs, and greater flexibility. Federal Agencies developing AI models that do not require massive computational resources should consider workstations for both experimentation and edge deployment. By leveraging workstation AI, agencies can enhance productivity, reduce latency, and maintain greater control over their AI initiatives.
To correctly size and configure a Data Science Workstation based on a data scientist’s needs takes three general steps. These are
(1) determining the dataset size and best AI model,
(2) matching the GPU and GPU memory to the dataset, and
(3) deciding the right CPU and CPU memory configuration.
Click here to see the Results of various Workstation configurations against both deep learning and machine learning workflows.
Powerful performance:
Run demanding multithreaded engineering applications with up to an 350W Intel® Xeon® Processor.
Best-in-class graphics:
Support advanced engineering and artificial intelligence GPU workloads with up to four 300W graphic cards. An extensive NVIDIA graphic options are available.
Elevate your purpose:
Power your system with an up to 2200W PSU.
See the full spec sheet.
Wildflower Intl. will help you harness the full power of AI with high-performance workstation deployments. Leverage advanced AI capabilities to accelerate design and engineering workflows, enhance decision-making, and drive innovation across your agency. Contact Wildflower today to connect with our team of Federal experts.
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