Machine Learning

Gigantor Launches the Next Evolution of AI/ML Acceleration

Startup, Gigantor Technologies Inc., is revolutionizing artificial intelligence‘s high performance

Gigantor Technologies Inc. is set to disrupt the market with its multiple patent-pending revolutionary technology, GigaMACS. Co-founders Don Gaspar, CEO, and Mark Mathews, CTO, formed Gigantor after analyzing the market’s existing approach to acceleration using stock hardware solutions or imprecise model altering strategies.

GigaMACS optimizes your machine learning model by converting it to a synchronal parallel circuit that runs as fast as the input pixel rate while minimizing latency. Most importantly, GigaMACS does not require changes to the model, and it will accelerate your convolutional neural network model to new heights.

“The key to maximum performance is to take the exact computation of your model and express it as an optimized, zero overhead pipelined circuit by eliminating redundancy and bottlenecks from your model,” says Mark Mathews, CTO for Gigantor.

Some solutions in the market alter portions of your AI/ML model by filtering low weighted calculations, altering the results, which may require recertification and retraining for your model to reclaim the original accuracy. In systems being used today, stock hardware solutions throw excessive memory and faster clock speeds at the problem, leading to a dead-end solution as the workload continues to increase with model complexity. GigaMACS takes your TensorFlow, Pytorch, Caffe, ONNX, or other format model and converts it for you into a highly optimized circuit that runs faster and reduces latency to under a millisecond. Now, you can run your model against 4K or even 8K video in real-time.

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