Why an HP Workstation Might Be the Best Machine for Your AI Workloads

Artificial intelligence workloads are becoming more common every day as users become familiar with how AI can help them work more efficiently. But some users need AI to take on especially demanding tasks, such as 3D modeling and animation or machine learning development. For these users, an AI-enabled workstation might be a better option than a PC.

A workstation is computer with a discrete graphics card or multiple discrete graphics cards. HP workstations address many of the demands of intense AI workloads by using a graphics processing unit. The GPU is the best option to conduct parallel processing for graphics rendering, large-scale model operations and training large language models (LLMs). These workstations are ideal for demanding tasks, such as conducting data analytics in the engineering space, or exploring for gas and oil drilling opportunities.

Regardless of whether they elect to use mobile or desktop workstations, workers such as designers, engineers and medical researchers need heavy-duty machines to handle their AI workloads. I often consider HP workstations to be like servers with discrete graphics cards; they have the computational capability and storage capacity to handle demanding AI jobs.

HP workstations also provide flexibility to take on the toughest tasks. If one video card isn’t enough to handle a particular AI workload, many of our workstations will accommodate up to four video cards. This greatly enhances the workstation’s ability to tackle complex AI tasks, and the new Blackwell GPU from NVIDIA delivers even better performance.

By adding powerful graphics cards, users can greatly increase the number of trillions of operations per second that a workstation can conduct. A significant increase in their capability for TOPS enables organizations to reduce the time needed to carry out complex computational workloads from days to a matter of hours. When these computations are done quickly, organizations can get back to business sooner. HP delivers this capability via desk-side workstations as well as rack workstations that can be shared by multiple users.

When I’m working with customers to find the right workstations to meet their needs, I try to match the machines to their tasks. If a user intends to do a lot of videoconferencing or working with spreadsheets, I may recommend an introductory mobile workstation. But for more intense tasks, more power may be required. For example, in the oil and gas industry, companies make significant investments in drilling for new deposits of natural resources, and drilling in the correct place is essential, or this costly effort could be wasted. AI enables companies to predict where drilling will be most productive, reducing costs and maximizing efficiency.

Manufacturers take advantage of HP workstations’ AI capabilities to conduct 3D modeling and rendering, as well as complex simulation and analysis. Government agencies often employ these capabilities for geospatial intelligence and numerous scientific use cases.

Architects, designers and engineers also take advantage of AI’s ability to handle complex calculations. For example, several Formula One racing teams use AI to process large quantities of data to improve decision-making such as pit stop timing and other race tactics. Engineers also use AI to improve the performance of their cars through the analysis of data such as engine temperatures and aerodynamic conditions.

Ultimately, AI workstations enable users to maximize their ROI. The AI capabilities that HP workstations provide can deliver better results more quickly.