Wildflower International is an authorized ITES-4H contract holder delivering servers, storage, networking, and enterprise IT solutions to the U.S. Army, DoD, and other federal agencies — quickly, compliantly, and with small-business credit.
The Army ITES-4H contract (Information Technology Enterprise Solutions – 4 Hardware) is the U.S. Army’s multiple-award IDIQ vehicle for enterprise IT hardware procurement. Managed by Army Contracting Command – Rock Island (ACC-RI) under the U.S. Army CHESS ITES-4H program, it streamlines procurement and ensures pre-competed pricing, compliance with federal acquisition regulations, and fast delivery for mission-critical technology.
Wildflower delivers OEM-agnostic IT solutions under the ITES-4H contract, giving federal buyers flexibility to choose the best technology for their mission. Whether you need Dell PowerEdge servers, HPE storage, Cisco networking, or a multi-OEM architecture, Wildflower can design and deliver the right mix of Army ITES-4H IT solutions.
Choosing Wildflower under ITES-4H small business vendors supports your mission and your procurement goals. As a HUBZone-certified, woman-owned small business (WOSB), we help the Army and federal agencies meet socio-economic procurement targets while delivering Tier-1 enterprise IT solutions.
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.
The NVIDIA RTX™ 6000 Ada Generation delivers the features, capabilities, and performance to meet the challenges of today’s AI-driven workflows. Built on the NVIDIA Ada Lovelace GPU architecture, the RTX 6000 combines third-generation RT Cores, fourth-generation Tensor Cores, and next-gen CUDA® cores with 48GB of graphics memory for unprecedented rendering, AI, graphics, and compute performance. NVIDIA RTX 6000-powered workstations provide what you need to succeed in today’s ultra-challenging business environment.
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.
