AI has been the buzzword in just about every tech announcement lately – but Dell is taking it to a whole new level with its latest laptop.
Unveiled at Dell Technologies World, the new Dell Pro Max Plus workstation is all-in on AI hardware. Instead of just relying on a GPU like most workstations, this one comes packed with a dedicated neural coprocessor built by Qualcomm. It is designed to handle massive AI workloads – like running huge multi-billion-parameter models – right on the device.
Unlike the regular Dell Pro Max line, which includes the usual ISV-certified graphics setups and workstation-grade specs, the Pro Max Plus ditches the GPU entirely. In its place? A discrete neural processing unit (NPU), marking it as the first laptop to ship with enterprise-grade AI hardware in this form. It runs on Qualcomm’s AI 100 Interface Card, a component usually reserved for cloud servers or data centers.
What does that mean in real-world use? You can run AI models with up to 109 billion parameters – locally – without ever needing to connect to the cloud. That is powered by 32 AI cores and 64 GB of dedicated LPDDR4x memory, giving developers the firepower they need to build and test things like AI copilots, chatbots, and enterprise tools all on-device, no data sharing, no cloud bills.
Dell Pro Max 16-inch. | Image credit – Dell
We don’t have full specs yet and Dell hasn’t revealed the price either, but this is just the first in what will be a full Pro Max Plus lineup. Not all models will be this AI-focused, though. Dell made it clear: this particular one is aimed at AI engineers and data scientists, so yeah – when it launches later this summer, it is probably going to cost way more than the average user would ever consider spending.
But why is on-device AI a big deal for businesses?
As I mentioned above, Dell says the Pro Max Plus can run a massive 109-billion-parameter model straight from the laptop – no cloud, no servers, no outside connection needed. That is a big leap for mobile workstations.
For businesses, this kind of on-device AI processing is huge. It means sensitive data, AI-generated content and even the prompts themselves all stay private and protected. And in today’s AI-first world, that kind of data could become some of a company’s most valuable IP.
There is also a real cost advantage here. Running AI models locally means companies don’t need to pay for server space or cloud compute time. Plus, it speeds up development – engineers can build and test AI tools on the spot without relying on remote infrastructure.
Tsveta, a passionate technology enthusiast and accomplished playwright, combines her love for mobile technologies and writing to explore and reveal the transformative power of tech. From being an early follower of PhoneArena to relying exclusively on her smartphone for photography, she embraces the immense capabilities of compact devices in our daily lives. With a Journalism degree and an explorative spirit, Tsveta not only provides expert insights into the world of gadgets and smartphones but also shares a unique perspective shaped by her diverse interests in travel, culture, and visual storytelling.
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