Kneron

09/01/2026

The future of AI isn’t just about bigger models. It’s about intelligence that can run where it’s needed — reducing latency, keeping data private, and giving businesses and nations greater sovereignty over their AI.

This is the future Kneron has been building toward: AI that is powerful, private, and belongs to you.

https://www.forbes.com/councils/forbestechcouncil/2026/08/27/ai-use-cases-where-good-enough-beats-most-powerful/

For routine or narrowly defined tasks, added sophistication can increase costs, slow response times and complicate deployment without meaningfully improving outcomes.

08/11/2026

The AI race is changing. Intelligence alone won’t win.

As AI scales, efficiency, power and cost are becoming just as important as performance.

Technology.org highlights Kneron alongside NVIDIA, AMD, Intel and Qualcomm as the industry rethinks how and where AI runs.

The next AI race is about the economics of intelligence.

Read the Technology.org article⁠ ⬇️

https://www.technology.org/2026/08/10/the-next-ai-race-wont-be-about-intelligence/

08/07/2026

The future of AI isn’t built on a single chip..it’s built on a complete platform.

Kneron is pioneering Full-Stack Edge Intelligence, unifying AI silicon, Edge AI engines, Edge AI servers, and enterprise AI infrastructure into one seamless architecture. From the NPU to KNEO Pi, KNEOEdge, and KNEO Rack, every layer is engineered to deliver secure, scalable, and high-performance AI at the edge.

07/22/2026

The future of AI isn’t moving to bigger data centers. It’s moving to the edge.

Counterpoint Research recognizes Kneron as a key disruptor in the Edge AI and Neural Processing Unit (NPU) market—highlighting how its reconfigurable hardware and full-stack platform address the cost, latency, and privacy limitations of cloud AI.

Watch the interview:

https://counterpointresearch.com/en/insights/counterpoint-conversations-future-of-ai-inferencing-with-npus

07/10/2026

5 million gallons of water. Every single day. That’s the cost of keeping some AI infrastructure running.

The world cannot scale AI indefinitely by simply building bigger data centers.

The future requires a new approach.

At Kneron, we’re building AI that runs where data is created - private, secure, and energy efficient.

Because the future of AI shouldn’t come at the expense of our planet.

🌎 Intelligence Everywhere.
⚡ Lower Power.
💧 Less Water.
🔒 More Privacy.

07/09/2026

Everyone talks about training AI.

Few are talking about what comes next. After a model is trained, it has to run somewhere.

Inside cameras.
Factories.
Hospitals.
Robots.
Entire cities.

That’s called inference. Inference is where AI creates real-world value.

And inference requires an entirely new infrastructure stack. From edge devices to enterprise AI servers, Kneron is building the infrastructure that powers the Physical AI era.

Training created intelligence.
Inference creates impact.

The future isn’t being trained.
The future is being deployed.

06/05/2026

Kneron CEO, Dr. Albert Liu warns that we could face many deployment issues if AI remains cloud-centric.

Inference happens every second users interact with AI. The industry may need a new layer of infrastructure optimized for deployment, not just training.

Watch the interview:
https://www.bloomberg.com/news/videos/2026-06-03/edge-ai-startup-kneron-on-growth-strategy-video

06/04/2026

The challenge may no longer be creating intelligence. It will be about making intelligence economically deployable at scale.

That’s why the conversation is expanding beyond GPUs alone.

Excited to see Kneron CEO Albert Liu join CNBC to discuss the growing importance of NPUs and what AI infrastructure could look like in the era of AI deployment.

The companies that remove the bottleneck may shape the next phase of AI.

https://www.cnbc.com/video/2026/06/02/kneron-ceo-highlights-the-growing-importance-of-npus-in-ai.html

06/03/2026

What happens when ChatGPT stops living in the cloud?

At COMPUTEX, Kneron is demonstrating a different future for AI.

One of the key differentiators of the KNEO series is the ability to run OpenClaw entirely on-premises.

No unpredictable token fees. No sending sensitive information to external services. More control over privacy, security, and deployment.

But infrastructure alone isn’t enough.

We’ve also simplified the experience.

Users can deploy a local virtual human and interact naturally through voice..just like speaking with another person.

Or simply type instructions through a familiar conversational interface that feels as intuitive as ChatGPT.

No complicated workflows. No AI expertise required. Just intelligence that works where your data lives.

From minimal personalization to private GPT environments and sovereign-scale deployments: one architecture, built for real-world AI deployment.

Because the next era of AI may not be defined by who builds intelligence.

But by who makes intelligence usable.

📍 COMPUTEX 2026📍 Nangang Exhibition Center Hall 2, 4F📍 Booth R0532