Originally posted to Data Center Frontier by Rich Miller,

NVIDIA’s graphics processing (GPU) technology has been one of the biggest beneficiaries of the rise of specialized computing, gaining traction with workloads in supercomputing, artificial intelligence (AI) and connected cars. This trend is expected to accelerate in 2017, with more custom chips being introduced to target these workloads.
After building a major beachhead in hyperscale data centers, NVIDIA’s ambitions now extend to the enterprise data center. The company’s new DGX-1 Deep Learning System is a “supercomputer in a box” – a hardware appliance designed to make AI data crunching more accessible.
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