According to a new press release, “Blaize™ today emerged from stealth and unveiled a groundbreaking next-generation computing architecture that precisely meets the demands and complexity of new computational workloads found in artificial intelligence (AI) applications. Driven by advances in energy efficiency, flexibility, and usability, Blaize products enable a range of existing and new AI use cases in the automotive, smart vision, and enterprise computing segments, where the company is engaged with early access customers. These AI systems markets are projected to grow rapidly* as the disrupting influence of AI transforms entire industries and AI functionality becomes a ‘must-have’ requirement for new products. ‘Blaize was founded on a vision of a better way to compute the workloads of the future by rethinking the fundamental software and processor architecture,’ says Dinakar Munagala, Co-founder and CEO, Blaize. ‘We see demand from customers across markets for new computing solutions that address the immediate unmet needs for technology built for the emerging age of AI, and solutions that overcome the limitations of power, complexity and cost of legacy computing’.”
The release goes on, “The scope and capabilities of the comprehensive Blaize technology stack is unprecedented. The Blaize GSP architecture and Blaize Picasso™ software development platform deliver breakthroughs in computational efficiency. The solution blends 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. The massive efficiency multiplier is delivered via a data streaming mechanism, where non-computational data movement is minimized or eliminated. This gives Blaize systems the lowest possible latency, reduces memory requirements and reduces energy demand at the chip, board and system levels.”
Read more at Business Wire.
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