![[personal profile]](https://www.dreamwidth.org/img/silk/identity/user.png){kind=small}
vak“The 10 most innovative computing companies of 2025”
#6. SIMA.AI
For helping industrial robots, self-driving machines, and other machines run AI applications on their own hardware
A burgeoning subsector of AI hardware is focused on so-called AI-at-the-edge technology, which enables local standalone processing of AI workloads in a wide range of real-world applications, including industrial robotics and autonomous vehicles. The edge AI hardware market is projected to grow from $24.2 billion in 2024 to $54.7 billion by 2029, according to research firm MarketsandMarkets.
Silicon Valley semiconductor startup Sima.ai is a leading developer of embedded machine learning system-on-chip (MLSoC) solutions. After securing $70 million in funding in April, in September the company announced Modalix, the first edge-computing chips targeted at multi-modal AI. The new SoCs, which process text, computer-vision images, and audio, can run cutting-edge reasoning models like Meta’s Llama 2-7B. Energy efficiency is critical in edge applications, and Sima.ai’s chips have demonstrated up to 85% greater efficiency compared to leading competitors. Sima is targeting the embedded edge market, the computing layer that sits between the cloud and personal devices, and is pursuing applications in healthcare, smart retail, self-driving vehicles, government, and robotics.
#6. SIMA.AI
For helping industrial robots, self-driving machines, and other machines run AI applications on their own hardware
A burgeoning subsector of AI hardware is focused on so-called AI-at-the-edge technology, which enables local standalone processing of AI workloads in a wide range of real-world applications, including industrial robotics and autonomous vehicles. The edge AI hardware market is projected to grow from $24.2 billion in 2024 to $54.7 billion by 2029, according to research firm MarketsandMarkets.
Silicon Valley semiconductor startup Sima.ai is a leading developer of embedded machine learning system-on-chip (MLSoC) solutions. After securing $70 million in funding in April, in September the company announced Modalix, the first edge-computing chips targeted at multi-modal AI. The new SoCs, which process text, computer-vision images, and audio, can run cutting-edge reasoning models like Meta’s Llama 2-7B. Energy efficiency is critical in edge applications, and Sima.ai’s chips have demonstrated up to 85% greater efficiency compared to leading competitors. Sima is targeting the embedded edge market, the computing layer that sits between the cloud and personal devices, and is pursuing applications in healthcare, smart retail, self-driving vehicles, government, and robotics.
no subject
Date: 2025-03-18 19:16 (UTC)no subject
Date: 2025-03-18 20:34 (UTC)Все там будем, да. Железяки поумнеют, сапиенсы опростятся.
no subject
Date: 2025-03-19 10:45 (UTC)