Neural Magic Announces $30 Million Series A Funding Led by NEA
Summary
Born out of MIT, Neural Magic creates groundbreaking algorithms and tools that bring software, rather than specialized hardware, to the center stage in machine learning (ML) infrastructure. Papadopoulos brings vast experience to the team from his former role as CTO of Sun Microsystems, his mentorship of early-stage software companies, and his work at MIT on parallel dataflow computing architectures. “Neural Magic has assembled a world class team to tackle an incredibly challenging problem--delivering GPU speeds for machine learning inference (ML) using software and commodity CPUs,” said Greg Papadopoulos, Venture Partner at NEA. We’re thrilled to continue partnering with the team to build a world where application inference can be deployed, managed, and scaled with zero friction.” To find out more about Neural Magic, please visit https://neuralmagic.com. The company is spun out of MIT by founders Nir Shavit and Alexander Matveev who were frustrated by the limitations in memory size and software complexity imposed by GPUs.