Products

“GigaMACS™” stands for “Giga Multiply and Accumulate,” plural; it is a commercial-ready AI Accelerator.

GigaMACS™ takes your TensorFlow or other CNN (convolutional Neural Network) model, as-is, and uses our patent-pending technology to compile a hyper-optimized bitstream to use in your FPGA or for your custom ASIC.

GigaMACS™ will automatically accelerate your model to have near-zero latency, require no buffering, and enable your model to handle full camera HD, 4K or 8K at input speed, even in real-time. GigaMACS™ works with all Convolutional Neural Network models and delivers a FPGA or ASIC ready-to-use solution.

If you have a camera at 80 fps or even faster, GigaMACS™ will make sure your model works at the same rate. GigaMACS™ can easily move models to 240 fps in full 4K and in real-time. The only speed limit for GigaMACS™ is your camera.

Other technology benchmarks a model with the 224x224x3 thumbnail images. While attempting to keep up with processing, the other technology solutions cannot process full-frame high-resolution images without dropping a large percentage of the frames. While nVidia will perform up to 75 fps with these small images, GigaMACS™ will exceed 3,000 fps.

A test with the Tesla nVidia V100 on AWS with SqueezeNet can reach 25 fps with a full 1920x1080x3 frame. GigaMACS™ automatically optimized SqueezeNet on an FPGA hardware test and reached the full 80 fps (the input rate). The nVidia hardware clock runs at 10x the FPGA’s speed, and GigaMACS™ still outperforms it by a magnitude. Also, nVidia’s latency was nearly 60 milliseconds, compared to GigaMACS™’ which was less than a millisecond. GigaMACS™ can perform as fast as the input.

Why not go to full-frame HD, 4K or 8K and be real-time with GigaMACS™?

Adding more memory and faster clocks to GPUs or TPUs is not the answer to accelerating your Neural Network model; it ultimately leads to a dead-end with minuscule gains at best.

Filtering low-weights from the calculations potentially decreases the accuracy of the model, which requires re-training and re-certification. Changing the accuracy of the model impacts the Neural Network model as it evolves and becomes more complex.

GigaMACS™ will remove redundancies and looping while automatically identifying and implementing optimizations; also, it will make your model perform in real-time with near-zero latency. In the process of using an FPGA, or making a custom ASIC for the ultimate performance, your model will reduce power consumption by 90%.

GigaMACS™ does not change your AI/ML model in the process but it does make it much faster!