WHAT WE DO
security, proprietary information, privacy regulations, or existing infrastructure requirements may require in-house clouds in others. With expensive communications or location constraints, your machine learning may need to be in an edge device; Inspirit IoT helps deliver machine learning performance where you need it, whether the cloud, private servers or in edge devices.
MACHINE LEARNING
Machine learning (ML) delivers application opportunities and competitive advantage yet is compute intensive, requiring acceleration to meet real-time performance and power-efficiency constraints. However, design and deployment of hardware accelerators require detailed design expertise.
WE SPEAK YOUR LANGUAGE
ML solutions are designed in TensorFlow, Caffe, CNTK, Python, R, and Matlab. Inspirit IoT lets you design your machine learning application using languages and tools data scientists are familiar with, automating the translation to detailed hardware accelerators that give the performance you need.
PERFORMANCE WHERE YOU NEED IT
Not all applications are built the same, and neither should the accelerators. Some use cases are well served for cloud deployment to reduce infrastructure costs, while security,
Machine learning is rapidly evolving -- whether you want to deploy the latest popular network architecture, design your own from scratch or anything in between, we'll help get you there. Inspirit IoT's tools and libraries explore implementation options to give you the best speed performance for your network.
HIGHER performance
LOWER energy
FUTURE PROOFED
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Inspirit IoT’s vision is to be the global leader in delivering sensor intelligence to the edge and cloud. We take pride in our mission - delivering accelerated machine learning hardware solutions for higher-performance, lower-power, lower-cost hardware deployments.
VISION & MISSION
LOWER COSTS
DESIGN TOOLS
efficiency
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future proofed