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Next Steps

  1. Schedule an intro chat so we can learn more about your deep learning use cases and requirements.

  1. Receive guidance and get started with fast inference on commodity CPUs using your own data.

  1. Stay engaged and supported throughout your deployment process (or ML Lifecycle) by our team of ML experts and our vibrant developer community.

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Join our online communities to interact with our product and engineering teams along with other Neural Magic users and developers interested in model sparsification and accelerating deep learning inference performance.

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