Users running a quantized 7B model on a laptop expect 40+ tokens per second. A 30B MoE model on a high-end mobile device ...

Today, Mirai is developing a framework for models so they can perform better on devices. The company has built an inference ...

Cohere’s Tiny Aya models support 70+ languages and run offline on laptops, bringing open multilingual AI to edge devices worldwide.

The AI landscape is taking a dramatic turn, as small language and multimodal models are approaching the capabilities of larger, cloud-based systems. This acceleration reflects a broader shift toward ...

French AI startup Mistral has released its first generative AI models designed to be run on edge devices, like laptops and phones. The new family of models, which Mistral is calling “Les Ministraux,” ...

With the Sarvam Edge launch, the Bengaluru-based AI is pushing the idea that powerful AI tools can work locally on devices ...

In a major push towards accessible artificial intelligence, Indian startup Sarvam AI has launched Sarvam Edge — a ...

‘Hey Google’ find me a suitable keyword spotting (KWS) model for edge devices. While voice control is essential for modern interfaces like Alexa, Siri, and Hey Google, building KWS models on edge ...

Perhaps the most critical trend is the emergence of AI agents that operate autonomously over messy, unstructured data and execute complex workflows with minimal human intervention. This is not chatbot ...

Storage-Area Networking (SAN) JOSE, Calif.--(BUSINESS WIRE)--Edge Impulse, the leading platform for building, deploying, and scaling edge machine learning models, today announces Microchip ...

The hunt is on for anything that can surmount AI’s perennial memory wall–even quick models are bogged down by the time and energy needed to carry data between processor and memory. Resistive RAM (RRAM ...