Dell is doubling down on AI-powered computing with a new lineup of Pro Precision workstations designed to bring serious AI performance directly to desks.
At the centre of the announcement is a refreshed Dell Pro Precision range. It includes both tower and mobile workstations built specifically for AI-heavy workloads like model training, simulations, and creative production.
The idea is straightforward: instead of relying on cloud infrastructure, Dell wants AI development to happen locally. This way, teams can experiment faster and keep control over their data.
The new Pro Precision 9 tower series, available in T2, T4, and T6 configurations, is aimed at high-end users who need sustained performance. The top-end T6 model pushes things furthest, with support for up to Intel Xeon processors (up to 86 cores), multiple NVIDIA RTX PRO Blackwell GPUs, and as many as 15 PCIe slots. Dell says it’s its most scalable workstation yet, built to handle long-running AI workloads without slowing down.
Moreover, that same focus is now extending to laptops. Dell’s updated Pro Precision 5 and 7 Series mobile workstations bring AI-ready performance into more portable designs, powered by the latest Intel and AMD chips with improved NPUs.
These systems are designed for on-device AI tasks, including local inferencing, without needing constant cloud access. Optional RTX PRO GPUs, faster memory, and Gen 5 storage round out the package.
Dell isn’t stopping at traditional workstations, either. It’s also introducing Pro Max systems with NVIDIA’s GB10 and GB300 platforms, which aim to bring data centre-level AI capabilities to a desk setup. The GB300 model, in particular, is built around NVIDIA’s Grace Blackwell architecture and is designed to run large AI models locally, reducing latency and ongoing cloud costs.
All of this ties into what Dell calls its AI Factory with NVIDIA — a broader ecosystem that connects local development to large-scale deployment, whether on-premises or in the cloud. The goal is to let teams move from prototype to production without needing to rebuild workflows.
In practice, this is less about flashy features and more about shifting how AI work gets done. By pushing more compute power into desktops and laptops, Dell is betting that faster iteration, lower costs, and better data control will matter just as much as raw performance.
