Dell ships Pro Max 16 Plus with Qualcomm discrete Artificial Intelligence NPU

Dell's Pro Max 16 Plus includes a Qualcomm Artificial Intelligence-100 Ultra discrete NPU delivering 870 INT8 TOPS and 128 GB of LPDDR5X memory, enabling local models up to 120 billion parameters on the NPU alone.

Dell has started shipping the Pro Max 16 Plus configured with a discrete Qualcomm Artificial Intelligence-100 Ultra neural processing unit. The NPU is rated at 870 INT8 TOPS and operates within a 150 W TDP envelope. Dell pairs the NPU with up to 128 GB of LPDDR5X memory on select models, which the company says provides enough compute and memory capacity to run local Artificial Intelligence models with up to 120 billion parameters on the NPU without requiring additional external memory or compute resources.

The Pro Max 16 Plus combines the Qualcomm NPU with robust CPU options, including up to an Intel Core Ultra 9 285HX vPro with 24 cores. To accommodate the NPU, Dell has removed the traditional discrete GPU from the system. Graphics output is handled by the integrated GPU within the Arrow Lake-HX chip, which Dell positions as suitable for basic display tasks but not for gaming. Dell describes the tradeoff as intentional: the dedicated NPU is intended for Artificial Intelligence developers and consumes the space, power, and cooling headroom that a discrete GPU would normally occupy.

For local development workflows the laptop uses the Qualcomm NPU for model inference and related workloads, paired with the host CPU and configurations commonly shipping with 64 GB of system memory for broader system tasks. Dell emphasizes the NPUu2019s combination of high TOPS and substantial on-board memory as an alternative to a conventional GPU-based design, arguing it offers more computing power and VRAM capacity for on-device Artificial Intelligence workloads. The company positions the Pro Max 16 Plus as a workstation choice focused on AI-centric applications rather than gaming or GPU-accelerated graphics.

56

Impact Score

OpenAI weighs software release to loosen Nvidia CUDA dependence

OpenAI is considering whether to release software that could make advanced Artificial Intelligence workloads easier to run across chips from multiple providers. The move would target Nvidia’s CUDA ecosystem, one of the company’s strongest infrastructure advantages.

Computex 2026 spotlights Nvidia RTX Spark and new PC chips

Computex 2026 in Taipei is focused on fresh PC silicon, with Nvidia entering consumer laptop processors and Intel, Qualcomm, and AMD updating their pitches for handhelds, laptops, and desktops. Hardware makers are pairing those chips with new Surface, XPS, Zenbook, Claw, and component designs.

Intel pushes local Artificial Intelligence chips at Computex 2026

Intel used Computex 2026 to promote local Artificial Intelligence processing across PCs, robotics and edge devices, positioning its chips as an alternative to cloud-dependent systems. The company tied the push to Core Ultra 3, its 18A manufacturing process and robotics tools meant to challenge Nvidia.

Regulators tighten scrutiny of Artificial Intelligence data centres

Artificial Intelligence demand is pushing data centres into closer regulatory focus as governments treat them as critical infrastructure. The European Union is adding reporting, audit and waste heat obligations while the United Kingdom focuses on cybersecurity and resilience.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.