Dell Technologies Inc. today introduced a new generation of professional workstations aimed at artificial intelligence development and high-performance engineering workloads.

The new lineup reflects what Dell executives described as a major refresh of the company’s commercial PC portfolio. It’s also a shift toward systems designed for local AI development and inference as enterprises look to move more workloads closer to where data and developers reside.

The company is also looking to regain momentum in the market following a broad renaming of its product line a year ago. The simplification effort was widely regarded as a failure, prompting Dell to reintroduce its popular XPS brand in January.

The company is now trying to make up for lost time by capitalizing on the trend toward AI-ready PCs. “We’re moving with speed,” said Jon Siegal, senior vice president of product marketing. “We pulled in our entire 2027 commercial PC roadmap into the spring of 2026.”

New high-end models include the Dell Pro Precision 7, Dell Pro Precision 9, and the desk-side Dell Pro Max system built around Nvidia Corp.’s latest AI architecture.

Siegal described the update as a major redesign of Dell’s workstation lineup. “This is the most significant form factor refresh that we’ve had in at least a decade,” he said. “We’re introducing thinner, lighter and more powerful PCs than ever before.”

Built for AI

At the top of the lineup is the Dell Pro Precision 9, a tower workstation designed for large-scale AI development, simulation and data-intensive workloads.

The system is powered by Intel Corp. Xeon 600 processors with up to 86 cores, enabling heavy multitasking and large-scale data processing workloads.

Graphics acceleration is handled by Nvidia’s high-end RTX Pro 6000 Blackwell graphic processing units, which allow the workstation to support tasks such as AI model training, engineering simulation and visual effects rendering.

The most powerful unit, the Precision 9 T6, supports up to 4 terabytes of DDR5 ECC memory across 16 slots, providing the capacity Dell said is required for memory-intensive AI and engineering workflows.

“The T6 is what we believe is going to be the most expansive product in the market,” said Charlie Walker, head of product for Dell Pro Max Precision workstations and rugged devices. “With up to 15 PCIe slots, you can put five 300-watt graphics cards or two 600-watt graphics cards in it. This is for those customers who want to push the boundaries of scalability.”

The workstation can be configured with up to 21 storage slots and up to 316 terabytes of storage, enabling organizations to run large datasets and AI training pipelines locally.

Dell executives said interest in desk-side AI infrastructure is growing as organizations look to rein in cloud costs and maintain greater control over sensitive data.

“We see 2026 as a pivotal year,” Siegal said. “Customers are realizing the cost of a token in the cloud and looking for more cost-effective options, including on-premises.”

Laptops for creators and engineers

The new Dell Pro Precision 7 Series 14 laptop brings many of the same AI capabilities to a mobile workstation form factor aimed at engineers, designers and AI developers working remotely or in hybrid environments.

The machine runs on Intel Core Ultra processors with integrated neural processing units capable of up to 50 trillion operations per second, enabling AI acceleration directly on the device. It can also be configured with Nvidia RTX Pro Blackwell graphics, allowing users to run GPU-accelerated design software, machine-learning models and visualization workloads on a portable system, Dell said.

It supports up to 64 gigabytes of high-speed, low-power LPDDR5X memory and up to 4 terabytes of storage. Dell also emphasized mobility and usability features, including a lightweight chassis starting at about 3.5 pounds, Wi-Fi 7 connectivity and Thunderbolt 5 ports for high-speed peripheral connections.

Team AI development

For teams building and testing AI models locally, Dell also introduced the Dell Pro Max with GB300 (pictured), a compact desk-side system powered by Nvidia’s Grace Blackwell 300 chip, which combines a 72-core Arm-based CPU AI acceleration.

The system can support multiple developers simultaneously through Nvidia’s MIG partitioning technology, enabling isolated workloads on a shared machine.

Dell said the machine delivers up to 20,000 teraflops of four-bit floating point performance, enabling developers to prototype, fine-tune and run inference on large models without the need to move workloads to the cloud.

The workstation includes up to 748 gigabytes of coherent memory and up to 16 terabytes of non-volatile memory express storage, giving developers the ability to run large models locally and experiment with complex datasets. Dell said the device plugs into the Dell AI Factory with Nvidia, allowing workloads developed locally to scale to larger data center environments.

“We feel we’re uniquely positioned to help our customers put the AI workloads in the right spot, whether it’s in the cloud, data center or the edge,” Siegal said.

Photo: Dell