Kirill Solodskih is the Co-Founder and CEO of TheStage AI, with expertise in optimizing neural networks for real-world applications.
He co-founded TheStage AI in 2024, securing $4.5 million in funding to automate neural network acceleration.
TheStage AI automates manual compression and acceleration of neural networks using ANNA, enhancing AI adoption speed and affordability.
Their technology reduces inference costs by up to 5x, surpassing traditional methods with smart heuristics and efficient approximations.
TheStage AI accelerates model output faster than PyTorch's native compiler, providing instant deployment for improved efficiency and cost savings.
Their QLIP toolkit offers flexible optimization algorithms for different hardware, allowing for quick integration of new research into AI models.
INNs by TheStage AI provide dynamic network compression without quality loss, offering innovative results in deep learning.
Quantum annealing algorithms and quantum computing could revolutionize AI optimization, providing unparalleled speed and precision.
The long-term vision for TheStage AI is to create a global Model Hub for optimized neural networks, enabling efficient AI deployment directly on user devices.
In the next 5-10 years, inference optimization could evolve to cut costs drastically, integrate with hardware solutions, and enhance AI applications in various fields.