Kneron Kneron is an embedded Deep Learning Company, which aims to extend AI everywhere by offering customizable software and hardware for IoT applications.

Kneron is a global Deep Learning startup company with offices in San Diego, California, Shenzhen, China, and Taipei, Taiwan. Focusing on implementing deep learning software and hardware for IoT applications so that everyone can have access to the benefits of artificial intelligence (AI). Kneron technology can provide swift training and data efficient deep learning algorithms which are adaptable in

deep learning processor design. It has the ability to run very deep convolutional neural networks locally on-device without cloud servers for embedded vision applications. Kneron has also developed unique hardware optimized for deep learning, the world’s first deep learning IoT RTL IP. Unlike the traditional method of using GPU which brings energy wastage, the IP’s scalable nature provides the correct amount of hardware acceleration when needed making it energy efficient yet powerful enough to run full deep learning applications. Our rapidly growing team is under the guidance of experienced entrepreneurs and industry leading engineers from globally recognized companies such as Samsung, Qualcomm, Intel, Verizon, and Broadcom.

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

Today at COMPUTEX, Kneron joined Bloomberg to discuss what may become one of AI’s biggest shifts: moving from the era of...
06/03/2026

Today at COMPUTEX, Kneron joined Bloomberg to discuss what may become one of AI’s biggest shifts: moving from the era of training to the era of deployment.

For years, the conversation centered on building larger models.

Now the question is becoming: mom
How do we actually deploy intelligence at scale?

As AI becomes more agentic, infrastructure decisions become increasingly important: power, latency, privacy, economics, and where AI runs.

At Kneron, we believe the future of AI won’t be defined only by who creates intelligence.

It may be defined by who can deploy it.

Stay tuned for the segment link. Thank you to Bloomberg for the conversation.

At Computex 2026, Kneron CEO Dr. Albert Liu breaks the silence at the CNBC interview on a question shaping the next deca...
06/02/2026

At Computex 2026, Kneron CEO Dr. Albert Liu breaks the silence at the CNBC interview on a question shaping the next decade of AI:

Everyone Talked About Training. But What Happens After AI Is Built?

From the economics of inference to the future of AI infrastructure, this conversation goes beyond faster chips and asks a bigger question:

⚡ Can intelligence scale without scaling power?
🌍 Will AI remain centralized or become distributed?
🔒 What happens when privacy, latency, and sovereignty become non-negotiable?
🧠 Why the next AI leaders may not look like the last generation.

This isn’t a conversation about chasing the biggest model. It’s about what happens after the model exists.

The infrastructure shift may already be underway.

🎙️ Stay tuned for the CNBC Interview with Kneron.

The next chapter of AI may look very different than people expect.

The AI race is no longer just about who builds the smartest model.It’s about who can deploy AI at scale.Power.Cooling.La...
05/30/2026

The AI race is no longer just about who builds the smartest model.

It’s about who can deploy AI at scale.

Power.
Cooling.
Latency.
Privacy.
Cost.
Scalability.

These are becoming the defining challenges of the AI era.

A recent independent article from AI Journal explores why solving AI’s deployment problem may create the next generation of infrastructure giants.

At Kneron, we’ve been focused on this challenge from the beginning.

Read the article: https://aijourn.com/why-ais-deployment-problem-may-create-the-next-infrastructure-giants/

For the past several years, the artificial intelligence industry has been consumed by a single race: building larger and more capable models. That race

We’re proud to announce that Kneron has received the COMPUTEX 2026 Best Choice Award for our AI-powered 3D facial recogn...
05/21/2026

We’re proud to announce that Kneron has received the COMPUTEX 2026 Best Choice Award for our AI-powered 3D facial recognition technology, recognizing Kneron’s continued leadership in scalable, privacy-first edge AI innovation.

As the industry enters the inference era of AI, we believe the future of intelligence will run locally, securely, and in real time at the edge.

And this is only the beginning.

We have many exciting technologies, demonstrations, and next-generation AI innovations to unveil at COMPUTEX 2026. Stay tuned as we showcase what’s next for edge AI, intelligent infrastructure, and the future of AI computing.

📍 COMPUTEX 2026 — Booth R0532, TaiNEX 2, 4F

05/19/2026

As one of the world’s leading AI and technology expos, COMPUTEX brings together the companies and innovators shaping the future of computing.

This year, Kneron is proud to be part of that future.

Join us at COMPUTEX 2026 as we showcase next-generation Edge AI infrastructure powering the inference era. From ultra-efficient NPUs and on-device AI processing to scalable intelligent systems built for real-world deployment.

From smart security and vehicles to enterprise edge servers and smart homes, we’re bringing AI closer to where data lives.

📍 Tainex2, 4F, Booth
📅 June 2–5 | Taipei, Taiwan

The future of AI lives at the edge. See you at COMPUTEX.

Honored that Kneron has been named to the 2026 San Diego Hardtech 50 alongside some of the most important companies shap...
05/09/2026

Honored that Kneron has been named to the 2026 San Diego Hardtech 50 alongside some of the most important companies shaping the future of AI, robotics, aerospace, defense, and deep tech.

As AI moves from training models to deploying intelligence in the real world, we believe the next generation of infrastructure will be defined by inference, efficiency, and edge AI.

We’re not just building AI chips.
We’re building the infrastructure layer for operational intelligence.

Excited for what’s ahead.

From CPUs and GPUs to NPUs - the next chapter of AI hardware is being written. Honored to join the NYSE conversation on ...
02/08/2026

From CPUs and GPUs to NPUs - the next chapter of AI hardware is being written. Honored to join the NYSE conversation on why dedicated AI silicon at the edge is accelerating faster than many expect.

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