⚡️ Energy Efficient AI Chips
Kneron advances NPUs for energy-efficient, private edge AI solutions.
Today's Highlights
- Kneron - revolutionizing edge AI
- Learn - a couple of courses to further your knowledge in AI
- In Other News - a few interesting developments we're tracking
Kneron - Revolutionizing Edge AI
Kneron is a cutting-edge AI company based in San Diego, specializing in the development of neural processing units (NPUs) and integrated hardware-software solutions for edge AI applications. Since its inception in 2015, Kneron has rapidly advanced its technology to address key challenges in AI deployment, such as energy efficiency, data privacy, and cost.
Launched in 2023, the KL730 is designed to significantly improve energy efficiency, providing 3 to 4 times better performance compared to previous models. This chip is ideal for applications in smart homes, enterprise-edge servers, and advanced driving assistance systems. It supports transformer neural networks, crucial for running advanced GPT models, and ensures secure, low-energy AI capabilities across various industries.
Released in 2024, the KNEO 330 is Kneron’s latest edge AI server, offering a 30-40% cost reduction for small enterprises while maintaining high levels of privacy and security. It supports large language models (LLMs) and provides AI computing power of up to 48 TOPs. This server is designed for environments that require robust AI capabilities without relying on cloud connectivity, making it ideal for institutions with strict data privacy requirements, such as universities and financial services.
Kneron's technology is already being used by major enterprises and institutions. For instance, Stanford University and UCLA are leveraging the KNEO 330 for secure, localized AI processing, avoiding the need to upload sensitive data to external servers. This use case highlights Kneron’s commitment to balancing powerful AI capabilities with stringent data privacy requirements.
The company was founded by Albert Liu and Frank Chang. To date, they have raised $25 million.
📚 Learn
NVIDIA Training
|
Erik Brynjolfsson
|