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Running AI inference at scale has some big challenges
Different training systems produce different types of models with different flavors

Natural Language Processing, Computer Vision, and Recommendation Engines all require different AI pipelines
… and Most Deep Learning Accelerators or DLAs don’t support full AI pipelines nor the complete set of operands
Bottom line, Developing, deploying, and managing all of these AI use cases demands a lot of expertise!

NeuReality has created a purpose-built Network Addressable Processing Unit for AI inference, with a holistic, dedicated hardware platform.
There is a whole ecosystem of Data scientists, software engineers, and DevOps engineers that want to use the infrastructure where AI pipelines are run
There is a big gap between the infrastructure where AI inference runs and the ML Ops ecosystem.
To bridge the gap we’ve created a suite of software tools that make it easy to develop, deploy, and manage AI inference.

Our software stack has three unique components”
First: A way to work with any - and every - trained model in any development environment.
Second: Tools that offload the complete AI pipeline - including media processing
And Third: A simple way to connect AI workflows to any environment making inference a true network service
The best part: all of these software elements combine to create a holistic,- end-to-end solution that is accessible through a unified user experience that makes AI inference EASY

At NeuReality, it is our mission to reduce the complexity of setting up, operating, and optimizing an inference workflow
Our software stack and hardware are all purpose-built with one goal in mind:
Making AI Easy.
Want help developing, deploying, and running AI applications? Visit us at NeuReality.com