Neural Magic, a startup founded by an MIT professor, who figured out a way to run machine learning models on commodity CPUs, announced a $15 million seed investment today.

Comcast Ventures led the round with participation from NEA, Andreessen Horowitz, Pillar VC and Amdocs. The company had previously received a $5 million pre-seed, making the total raised so far, $20 million.

The company also announced early access to its first product, an inference engine that data scientists can run on computers running CPUs, rather than specialized chips like GPUs or TPUs. That means that it could greatly reduce the cost associated with machine learning projects by allowing data scientists to use commodity hardware.

The idea for this solution came from work by MIT professor Nir

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