Technology

The P300

Our first production laser powder bed fusion system, launched in January 2026. It is designed to produce qualification-ready components for defense, aerospace, energy, and medical applications.

Discuss an application
The P300 laser powder bed fusion system
The P300 in Noblesville, Indiana
PA Series

What is in the machine

The PA Series combines our own laser optics, an AI-based control layer, and a qualification framework that records and assesses what happened during each build.

Build envelope
300 × 300 × 300 mm
Laser system
Proprietary SSLM™
Laser power
7 kW
Layer thickness
30 – 50 µm
Materials
Mg · Ti-6Al-4V · IN718
Process control
In-situ monitoring, real-time correction
Qualification
PAQ reporting framework
Origin
Designed & built in the U.S.
How it works

Four parts of the system

Optics

SSLM™ laser system

Our 7 kW laser beam system is designed to give close control of the melt pool, so each layer is deposited consistently — with build speeds substantially faster than conventional systems. Independent verification is in progress.

Control

In-process monitoring and correction

The machine observes each layer as it is built and adjusts for deviations during the build rather than reporting them afterward. The AI architecture was developed in-house — Precixion is part of the NVIDIA Inception program — and supports real-time process optimization and predictive quality assessment.

Qualification

PAQ

Precixion Qualification aggregates data from our control (PAC), analysis (PIA), and prediction (PIP) systems into a structured report on the build. The intention is to characterize the actual part rather than infer from witness coupons, since geometry and size affect the outcome.

Materials

Reactive and hard-to-process alloys

The controlled process allows printing of magnesium — a lightweight but highly reactive metal that has been difficult to manufacture additively — alongside conventional alloys. This is a deliberate area of focus and a route to domestic supply of components that are otherwise hard to source.

NVIDIA Inception Program member Our in-house AI architecture is built on NVIDIA accelerated computing.

Want to discuss a specific application?