With the power of Deci’s Automated Neural Architecture Construction (AutoNAC) technology, developers are better suited to build, optimize, and deploy more powerful deep learning models using Intel Processors
Tel Aviv, Israel, November 10, 2022 – Deci, the deep learning company harnessing Artificial Intelligence (AI) to build AI, today announced a new strategic collaboration with Intel to accelerate the journey towards more scalable AI. By combining Deci’s proprietary Automated Neural Architecture Construction (AutoNAC) technology with Intel processor technology, the two companies will further optimize deep learning inference, enabling developers everywhere to build, optimize, and deploy more accurate, fast and efficient models for the edge, datacenter, and cloud.
As part of the Deci-Intel collaboration continues, Deci recently joined the Intel Disruptor Program, which provides technical enablement and go-to-market activities for participants. Deci-Intel collaboration was initiated by Intel Labs and Deci was one of the first companies to join Intel Ignite, an accelerator program designed to support innovative startups in advancing new technologies in disruptive markets.
Deci is now working with Intel to demonstrate AutoNAC’s performance on 4th Gen Intel Xeon Scalable processors, formerly codenamed Sapphire Rapids. Together, Deci and Intel are making significant steps towards enabling breakthrough deep learning inference on CPUs, a break from tradition as GPUs have generally been the default choice for AI tasks.
“As a result of our collaboration with Intel, we’ve seen exciting achievements in such a short period – deep learning at scale on CPUs is more feasible than ever before,” said Yonatan Geifman, CEO and Co-Founder of Deci. “We expect that our joint activities will only further propel AI accessibility, dramatically optimizing deep learning inference for any task in any environment.”
Deci and Intel first announced their broader strategic business and technology collaboration in 2021, following several groundbreaking submissions at MLPerf. In 2022, Deci announced its results for both its Computer Vision (CV) and Natural Language Processing (NLP) models that were submitted to the MLPerf v2.0 Datacenter Open division. On 2nd Gen and 3rd Gen Intel Xeon Scalable processors, Deci’s AutoNAC generated models that delivered breakthrough accuracy and throughput performance- for their CV submission, Deci delivered +1.74% improvement in accuracy and 4x improvement in throughput, while for their NLP submission, Deci improved accuracy by +1.03% and throughput performance by 5x. This was a continuation of their MLPerf results in 2021 where on several Intel Xeon Scalable Processors, Deci reduced the submitted models’ latency by a factor of up to 11.8x and increased throughput by up to 11x– all while preserving the model’s accuracy within 1%.
“The journey towards more scalable AI has never been more important as this technology continues to unlock groundbreaking use cases impacting industries across the board,” Arijit Bandyopadhyay – CTO Enterprise Analytics and AI, Head of Strategy – Cloud and Enterprise, Data Center Group, Intel Corporation. “We’ve seen firsthand the groundbreaking nature of Deci’s AutoNAC technology and its ability to automatically generate deep learning. Working together, customers will see the true value of innovative AI on Intel technologies.”
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This announcement was originally published on Cision PRWeb.