Architecture evolves AI models, says Blaize -- Softei.com

Claimed to be the first architecture to enable concurrent execution of multiple neural networks and entire workflows on a single system, while supporting heterogeneous compute intensive workloads, the Graph Streaming Processor (GSP) architecture will be demonstrated at CES 2020 by Blaize. The computing architecture offers advances in energy efficiency, flexibility, and usability, says the company for existing and new artificial intelligence (AI) in the automotive, smart vision, and enterprise computing segments. The Blaize GSP architecture and Blaize Picasso software development platform blend dynamic data flow methods and graph computing models with fully programmable, proprietary SoCs. This allows Blaize computing platforms to exploit the native graph structure inherent in neural network workloads all the way through runtime, says the company. The massive efficiency multiplier is delivered via a data streaming mechanism, where non-computational data movement is minimised or eliminated for what Blaize claims is the lowest possible latency and it reduces both memory requirements and energy demand at the chip, board and system levels.