Quantum Al Framework for Faster ML Training & Inference
Today's Al infrastructure performance is limited by compute capabilities, which are hindered by algorithmic inefficiencies. This further makes producing larger models prohibitively expensive while inhibiting the implementation of advanced Al technologies.
At Mindbeam, we are building a Quantum Al Framework that leverages low-precision data formats along with quantum algorithms to speed up ML training and inference workloads for generative Al applications. This will enable Al applications to leverage under-the-hood GPU-accelerated kernels to unlock new levels of production-level performance and efficient scalability for existing and new infrastructure.
Our Quantum Al Framework Boosts GPU Speeds up to 25x
How Fast Is It?
*Training
Standard PyTorch
PyTorch with Mindbeam
1x
20x
*Inference
Standard PyTorch
PyTorch with Mindbeam
1x
25x
Experience blazing fast performance with Zero Code Changes
Leverage accelerated compute on existing hardware without changing a codebase or model framework
Meet Our Team
Meet the innovative minds driving Mindbeam forward. Our team is led by Nii Osae Dade, a visionary Founder & CEO with a passion for machine learning and AI technologies.
Founder & CEO
Two-time founder with 10+ years experience in machine learning, applied neural cognitive architecture scaling large Al applications. Published scientific research papers on efficient training of large language models and code generating LLMs in collaboration with Nvidia, AWS, Huggingface and ServiceNow. 30 Under 30 receipient.
Principal Research Scientist
Quantum Computing Research Scientist. Expertise in Quantum Machine Learning (QML) and Quantum Optimization techniques to address complex challenges in particle physics and beyond. Developed a hybrid Quantum Generative Adversarial Network (QGAN) architecture with a quantum generator and classical discrimina utilizing PennyLane and PyTorch. Post Doctoral fellow at University of Florida.
Business Development
Enterprise Business Development Lead. A seasoned technology professional with 10+ years in sales experience specializing in startup acceleration and cloud computing solutions. With extensive experience at AWS, Abijah has developed deep expertise in helping innovative startups scale their infrastructure and go-to-market strategies, supporting over 1,000 B2B, B2C, and ISV startups between pre-seed and Series D.
Compatible with industry-standard ML frameworks
Trusted by Leading Industry Players
