2024年6月27日 · We’re bringing cost-efficient and energy-efficient edge AI computing power to robotics, defense, security, homes, and consumer devices. Mythic is delivering order-of-magnitude improvements in power, cost efficiency, and performance scalability: 10x more affordable; 3.8x less power; 2.6x faster

The efficient dataflow architecture of the Mythic AMP™, combined with its powerful model optimization suite and efficient graph compiler, provides for deterministic execution of AI applications. As AI system developers design their product for a targeted accuracy, frame-rate, latency, or power profile, they can be confident that their ...

Mythic developed a unique AI compute platform that enables effective surveillance systems, smart appliances, powerful machine vision systems, commercial drones, brilliant robotics, and more. With unmatched performance and power efficiency, the Mythic platform allows AI designers to deploy in form factors that were previously out of reach.

Pioneering Analog Compute for AI | Founded in 2012 by Mike Henry and Dave Fick, and based in Austin, TX and Redwood City, CA, Mythic is creating a unified hardware and software platform that ...

2022年7月30日 · Mythic’s ACE meets the requisites of edge AI inference. Mythic’s tech promises high performance at very low power, ultra-low latency, low cost, and small form factor.

近日，美国神话（Mythic）公司推出 M1076 模拟矩阵处理器，这款模拟 AI（人工智能）处理器的耗电量是传统模拟处理器的十分之一。 该公司表示，M1076 模拟矩阵处理器可以从服务器的边缘向应用程序扩展，旨在为智能…

2020年11月30日 · 领先的模拟AI处理器公司Mythic日前宣布，公司正式推出业界首款模拟矩阵处理器（Mythic AMP?）M1108 AMP。 按照他们的说法，这个新产品的发布预示了AI激动人心的新纪元，因为它首次提供了一种模拟计算解决方案，该解决方案可实现一流的性能和性能，并且其精度 …

Mythic产品和业务开发高级副总裁Tim Vehling告诉SiliconANGLE的记者，该公司的第一代模拟AI芯片M1108可与英伟达的小型Jetson AGX Xavier GPU媲美。 Tim Vehling称，Jetson AGX Xavier同样是低功耗处理器，也专为2018年推出的边缘设备而设计，但Mythic的芯片功能更强大，价格也更 …

Dethroning Nvidia不是Mythic的目标。该公司计划在进入一般人工智能领域之前开始提供可安装在安全摄像机网络中的芯片。Mythic可能面临来自初创公司如Reduced Energy Microsystems和Horizon Robotics等面向嵌入式推理的挑战。 其他公司投下更长的阴影。

2023年12月14日 · Mythic is enabling power-efficient AI acceleration at the edge, in the cloud, and everywhere in between