Mipsology offers FPGA-based class-leading acceleration for Deep Learning, with no FPGA knowledge required. We leverage more than 20 years designing high-performance FPGA-based systems for Linux to offer our users the best solutions for Deep Learning.
Mipsology first product, Zebra, offers users FPGA-based class leading acceleration for Neural network inference. There is zero FPGA knowledge required nor a single line of code to write to use Zebra. Zebra runs user defined neural network just as it would on GPU or CPU, switching takes minutes.
Zebra – Faster Neural Network Inference
FPGA are hardware programmable. They offer best-in-class computation throughput for neural network. Zebra executes neural network fast on one or multiple FPGA.
No FPGA Knowledge Required
No FPGA details are exposed to our users. Zebra users focus on solving their AI problems, Zebra makes it run on FPGA.
Select the FPGA board, plug it, link to the Zebra library, run it. Or simply use it in the Cloud.
Same Silicon, Better Performance
Mipsology R&D works to continuously improve performance with the same FPGA. No need to wait for years for a new silicon to accelerate further or to support latest neural network evolutions.
Compatible with Data Centers
Zebra runs on "standard" FPGA-based boards, which can easily fit in data centers with usual power and cooling constraints.
FPGA Fits More than One Usage
Zebra runs on hardware that can run different data-center loads, making the hardware investment not dedicated to a specific usage.
Supports All Neural Networks
Unlike usual FPGA-based solutions, Zebra works on the user-defined neural networks as it would on other processing engines like CPU and GPU.
Already Integrated into Your Environment
Zebra users don’t have to learn new languages, new infrastructures or new tools, it works with Caffe, MXNET, TensorFlow, etc.
Supports Multiple Precisions
Zebra supports 16-bit fixed point, 8-bit fixed point, and more.
Zebra includes FPGA contents and SW stack. It is simply like replacing a GPU by a FPGA.
There is no long wait for FPGA compilation, Zebra runs immediately.
Zebra runs on FPGA boards typically using less than 40W.
Zebra can run on any FPGA. With latest FPGA generation offering higher calculation bandwidth, Zebra users run faster the same content byjust installing a new board.