Analog Inference

Overview
Generative AI Infrastructure?
Product stageSegments
Minimum Viable Product
?
Hardware infrastructure
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Analog Inference specializes in developing AI inference accelerators by leveraging its proprietary analog in-memory compute technology, which offers improved performance per watt compared to other technologies. The company's core offering is its AI system-on-chip (SOC) processor, designed to run single or multimodal GenAI apps in data centers and computer vision applications at the edge.

Analog Inference employs in-memory computing with non-volatile memory cells that perform computations directly, eliminating the need for static random access memory (SRAM), dynamic random access memory (DRAM), multipliers, and adders. This approach addresses the von Neumann bottleneck, enabling parallel processing and significantly improving power efficiency and performance. 

As of September 2023, Analog Inference completed digital and analog designs for its test chips and documented the tapeout of its AI4 SOC processor, with plans for a demonstration and release in the future. It released alpha versions of its estimator, optimizer, and compiler on the software side, with stack production and release slated for 2024.

Key customers and partnerships

Analog Inference has built a strong ecosystem with OEMs, ODMs, system integrators, and AI analytics vendors, targeting markets like edge servers, smart retail, security, and smart cities. It collaborates with national labs, Big Data firms, and hardware manufacturers.

HQ location:
2350 Mission College Blvd Suite 300 Santa Clara CA USA
Founded year:
2018
Employees:
11-50
IPO status:
Private
Total funding:
USD 50.5 mn
Last Funding:
USD 22.3 mn (Series A; May 2023)
Last valuation:
-
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