Sign in to unlock valuable content and features from our AI-driven platform. Receive timely technology updates and the latest information from the solution providers who can help you realize your goals.
Start your journey by entering your name and email address below:
Please confirm your email address!
We are going to send a confirmation email to your email address to let you receive timely technology updates and the latest information from the solution providers who can help you realize your goals.
Is this you? Please confirm your name and email address below to receive the requested information.
Please check this box to confirm that you are opting-in to receive communications from Big Green IT and the data sharing outlined in our privacy policy.
Initializing
Loading
Why Developing and Deploying AI Technology on Workstations Makes Sense
The "Why Developing and Deploying AI Technology on Workstations Makes Sense" whitepaper explores Dell Precision Workstations' role in supporting diverse AI use cases. This resource covers the technical specs and benefits essential for seamless AI development and deployment, making it easier for organizations to optimize and scale AI. Download to discover how Dell can advance your AI initiatives. Contact us for personalized guidance using Dell Precision Workstations to advance your AI use cases.
Please enter your information below to view this content:
Why are workstations preferred for AI development?
Workstations provide several benefits for AI development, including immediate availability, powerful GPU acceleration, and lower costs compared to servers. They allow AI developers to experiment freely without the anxiety of accumulating cloud costs, and they ensure sensitive data remains securely stored on-premises.
How is AI deployment evolving at the edge?
Workstations are increasingly being used for AI inferencing at the edge, where they can operate effectively without high-end GPUs. Many applications, such as AIOps and telehealth, are leveraging workstations for AI tasks, reflecting a shift towards localized computing that reduces latency and bandwidth usage.
What are the key stages of AI development?
The AI development process includes six key stages: data management, data preparation, model selection, model development, model training, and model hosting and monitoring. Workstations can support each of these stages by providing the necessary computational power and flexibility, allowing developers to iterate quickly and efficiently.
Why Developing and Deploying AI Technology on Workstations Makes Sense
published by Big Green IT
At Big Green IT, we treat every client as a partner. We work with corporations across California and Nevada to streamline corporate business objectives through strategic information technology services and solutions. When it comes to storage, we take the time to understand your IT needs and work closely with our partners at HPE and others to develop a customized hybrid solution that makes sense for your business. As a specialized Microsoft cloud migration company, we’ve migrated hundreds of companies from on-premise systems to Office 365, Microsoft 365, and Azure Cloud. And as a Microsoft Gold Partner, we have access to the highest level of Microsoft support. With Premier Partner Support, we get your issues resolved quickly with a dedicated support manager, highest prioritized support queue, and critical situation support.
(1).jpg "Big Green IT"){kind=logo}
Sign in with LinkedIn_thumb.jpg)