Q.ANT unveils second-generation photonic processing server to power the next wave of AI and HPC

Q.ANT today announced the availability of its next-generation Native Processing Server based on Q.ANT’s NPU 2, with enhanced nonlinear processing capabilities to deliver orders-of-magnitude gains in energy efficiency and computational density for AI and high-performance workloads. By performing nonlinear mathematics natively in light, the Q.ANT NPU 2 enables entirely new classes of AI and scientific applications including physical AI and advanced robotics, next-generation computer vision and industrial intelligence and physics-based simulation and scientific discovery.

“Q.ANT’s photonic processors give the industry a new tool to compute new things, to move beyond incremental improvements in digital logic and explore functional spaces that digital circuits cannot reach,” said Dr. Michael Förtsch, CEO of Q.ANT. “AI’s growth has outpaced the world’s energy capacity and power has become the new bottleneck for progress. Photonic computing changes this equation. Our NPU 2 shows that high performance and sustainability are no longer in conflict and in fact are the same goal.”

AI’s acceleration has reached the physical limits of silicon. Each new generation of GPUs consumes more power and water and produces more heat, with cooling systems accounting for up to 40 percent of total data-center energy. Photonic processing fundamentally changes this equation. Photons travel faster, generate almost no heat, and can execute complex functions in a single optical step that would require thousands of transistors in a CMOS chip. By replacing transistor logic with native analog computation in light, Q.ANT’s architecture delivers up to 30x lower energy use and 50x higher compute density for complex AI and HPC workloads.

QANT will debut its second generation NPS (NPS 2) at Supercomputing 2025 in St. Louis (November 17–21).  At the LRZ booth #535, it will run a live image-based AI learning demo powered by Q.ANT’s Photonic Algorithm Library (Q.PAL) on its photonic processors. Q.PAL offers developers efficient, nonlinear algorithms and functions for complex workloads being continuously enhanced and optimized by Q.ANT for application-oriented photonic processing. The demo will show how the NPS 2 achieves more accurate results with fewer parameters and less operations compared to conventional CPU-based systems, demonstrating real-world photonic acceleration within existing server architectures.

“Photonic computing is scaling much faster than CMOS,” said Dr Michael Förtsch, CEO of Q.ANT. “What digital computing achieved in decades, takes only years with photonics. The second generation of our Native Processing Server shows how rapidly this transition is happening and why efficient, light-based computation will drive the next wave of AI and HPC.”

In practical settings like manufacturing, logistics, and inspection, photonic processors can execute nonlinear neural networks far more efficiently. This allows visual AI to recognize defects, track objects, and optimize inventories with fewer parameters, dramatically reducing energy costs and making computer vision systems economically viable, even for tasks previously considered too compute-intensive to run. Photonic processors will accelerate the next generation of AI architectures, e.g. hybrid models that combine statistical reasoning with physical modelling. This will advance domains such as drug discovery, materials design, and adaptive optimisation, where both nonlinear complexity and extreme energy efficiency are essential.

The Q.ANT NPS 2 is available to order now, with customer shipments in Q1 2026. Each system ships as a turnkey, data-center-ready server that integrates seamlessly into existing HPC infrastructures.

Source: www.qant.com