GrAI Matter Labs (GML) is an AI hardware start-up targeting Edge AI with near-real-time computation.
GML’s value proposition is therefore building on these pillars that, combined, create a uniquely differentiated solution: Endpoint computing with AI at low latency and high-power efficiency to transform raw data into high-fidelity consumable content in real-time, allowing for instant applicability in many daily situations.Power restrictions at the edge of the network force endpoint AI devices to keep consumption low.
A prototypical example to illustrate the upside of this approach is a smart security camera. The recorded background remains largely constant across the day, so it gives no new information. By processing and analyzing only people, vehicles, and other moving objects, the savings in power consumption and reductions in latency can range up to 95%.
GrAICore employs brain-inspired NeuronFlow technology. Apart from sparse processing, NeuronFlow is based on the dataflow architecture paradigm, which allows for efficient fine-grained parallelization. Together with in-memory compute, which reduces performance bottlenecks caused by moving data between memory and processor, these features accelerate the computations by several orders of magnitude.
VIP’s full-stack is completed with the GrAIFlow SDK, compatible with the usual ML frameworks, TensorFlow and PyTorch, to implement custom models. It also provides a library of ready-to-deploy models. Both custom and pre-trained models can be optimized and compiled with the ML toolkit to be deployed for inference at the edge device with the last component, the GrAIFlow Run-Time Ready.
GML potentially stands to revolutionize consumer and enterprise audio-visual experiences with everyday devices at high fidelity while meeting the strict power and cost requirements of endpoint content manipulation. We believe GML’s unique differentiation could help the company grow rapidly in a segment where they can enjoy a first-mover advantage.
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