
HYPERQ
Sustainable Machine Learning
Faster Training. Lower Costs. Better Planet.

POWERING SUSTAINABLE
AI TRAINING
HyperQ is leading the way in sustainable AI training through our state of the art quantum-inspired optimization techniques that increase efficiency without compromising model performance. Our mission is to make AI training more environmentally friendly, cost-effective, and accessible for the next generation of machine learning innovators.
1B
Handles 1B+ Parameters
5
Real Time and Adaptive Monitoring Systems
3
Layers of Gradient Protection

The HyperQ Optimizer

We provide HyperQ as a seamless upgrade to the baseline optimizers currently used in your training pipelines. By tailoring our algorithm to your specific tech stack—from the models you build to the hardware you run on—we unlock significant efficiency gains that reduce development cycles and infrastructure spend. This allows your teams to train larger, more complex models faster, all while ensuring state-of-the-art performance. It is Distributed Data Parallel (DDP) and DeepSpeed compatible, ensuring seamless integration on any tech stack.

We have received requests to pilot from one of the largest computer vision model companies.
OUR BENCHMARKS


OUR TEAM
