What Is ANKER Thus™? Anker's Custom AI Chip Explained (2026)
- ANKER Thus™ is the world's first compute-in-memory (CIM) AI audio chip — built specifically for wearables, not adapted from general-purpose hardware.
- CIM architecture eliminates the energy cost of moving data between memory and processor, enabling up to 150× more peak AI computing power while keeping battery use low.
- Thus runs key AI audio processing on-device — including Clear Calls with 10-sensor fusion for voice isolation, and other advanced audio features — without relying on external processing.
- The first Thus-powered soundcore earbuds debut at Anker Day, May 21, 2026 in New York.
You're on a packed subway platform, trying to take a work call. Trains roar past. Commuters shuffle. The ambient noise of the city stacks up around you. Your earbuds' AI is supposed to handle all of it, but most audio chips weren't designed for this kind of real-time intelligence. They borrow processing power, lean on cloud servers, and burn through battery faster than you'd like. ANKER Thus™ is built to change that. It's a custom AI chip designed specifically for wearables, and it's coming to soundcore earbuds in 2026. Here's what it is, how it works, and why it matters.
What Is ANKER Thus™?
According to Anker, Thus is the world's first compute-in-memory (CIM, a chip architecture where calculations happen directly inside memory, rather than in a separate processor) AI audio chip. It's engineered to run neural network processing on the device itself, without sending data to external servers or relying on conventional chip layouts that weren't designed for AI workloads.
Traditional earbuds run AI features on general-purpose chips. That hardware was never purpose-built for this kind of task. Thus is designed from scratch for one job: running sophisticated audio intelligence inside a device small enough to sit in your ear.
As Anker CEO Steven Yang told The Verge at the chip's announcement: "Thus puts the computation where the model already lives. The model never has to move again."
Why Did Anker Build Its Own AI Chip?
Because no existing chip could do what we needed it to do.
Consumer earbuds have always operated under a three-way tension: performance, power consumption, and physical size. Push the AI harder, and battery life drops. Add more processing capacity, and the chip runs hotter and demands more space. Most earbuds resolve this by running minimal on-device AI and offloading heavier tasks to cloud servers.
Cloud processing introduces its own problems. There's latency between sending audio data and getting a processed result back. It requires a stable network connection. And your voice data leaves your device entirely, which is an increasing concern for users who care about privacy.
Our answer wasn't to optimize around the bottleneck. It was to eliminate it architecturally. Thus is the result.
How Does the ANKER Thus™ Chip Work?
Thus achieves its efficiency by collapsing the gap between where AI models are stored and where computation happens. It sounds like a small architectural shift, but the consequences for what earbuds can actually do are significant.
How Traditional Chips Waste Power Moving Data
In a conventional chip, memory and compute are physically separated. Processing audio means continuously moving data between storage and the processing unit: filtering noise, analyzing voice frequencies, isolating speech from ambient sound.
That movement is expensive. In conventional chip design, over 90% of the energy consumed goes into transporting data between memory and processing units, a figure documented by IEEE Computer Society research. Only a fraction does the actual computing. The constant back-and-forth also limits how complex the AI model can be: most earbuds chips can only handle models in the hundreds of thousands of parameters.
How Thus Brings Computation to the Data
Thus reverses this entirely. Instead of moving data to a compute unit, computation happens inside the memory itself. The data stays put.
Two things follow from this shift. First, the energy previously consumed by data transport is now available for actual AI processing. Second, without that overhead, Thus can support AI models with several million parameters, compared to the few hundred thousand parameters that previous chip designs could handle, as reported by The Verge, representing roughly a 10x increase in model scale. The cumulative effect is significant: Thus delivers up to 150x the peak AI computing power of our previous flagship earphones, based on internal lab tests.
What that scale increase means in practice: a larger model can recognize more types of sounds, adapt to more complex and layered noise environments, and hold up in situations a smaller model would struggle with. The difference isn't noticeable in a quiet room. It shows up on a construction site, at a crowded event, or anywhere the acoustic environment is unpredictable and keeps changing.
| Traditional Chip | ANKER Thus™ | |
| Architecture | Separate compute + memory | Compute-in-memory (CIM) |
| Energy on data transport | Over 90% | Eliminated (compute happens in memory) |
| On-device model size | Hundreds of thousands of parameters | Millions of parameters |
| Peak AI computing power | Baseline | Up to 150× vs. previous flagship* |
| AI processing | Limited on-device or cloud-dependent | Fully on-device |
| Response latency | Higher (especially cloud-reliant features) | Real-time, no server roundtrip |
Up to 150x peak AI computing power vs. the chip in our previous flagship earphones — NOR Flash CIM architecture, based on internal lab tests.
What Can ANKER Thus™ Actually Do?
Thus enables key AI audio capabilities on soundcore earbuds. These include advanced call processing with 10-sensor fusion for demanding environments, and on-device processing that reduces dependency on network connections for core features.
Clear Calls and What It Delivers in Real Life
The most tangible application of Thus is Clear Calls: our AI-powered call noise cancellation, built on the Thus™ AI engine.
Clear Calls uses a 10-sensor array: 8 MEMS (micro-electromechanical system) microphones and 2 bone conduction sensors. The MEMS microphones capture the full acoustic environment around you. The bone conduction sensors detect vibrations through your skull. That signal is almost entirely your voice, with almost none of the surrounding noise mixed in.
Thus processes all 10 streams simultaneously, in real time. Think back to the subway platform from the opening. The train pulling in. The crowd pressing forward. With Clear Calls active, the person on the other end of that call hears your voice — not the platform, not the trains, not the shuffle of commuters around you. The gap between what the microphone picks up and what your caller actually hears is exactly where Thus does its work.
On-Device AI Without the Cloud Delay
Because Thus processes key AI features on the device, these capabilities work without requiring continuous cloud connectivity. There's no audio sent to a server, no wait for a response, no performance drop when your signal is weak.
That means noise cancellation adjusts as your environment changes, rather than waiting on a network roundtrip.
It also means for these core functions, audio processing stays on your device. When noise cancellation and audio analysis run locally, there's no audio stream being sent to a server for analysis, and no reliance on how an external service stores or manages that data. Your voice still travels over your carrier's network when you make a call — what stays on-device is the AI layer that cleans it up before it does. For that layer, on-device processing isn't only faster. It's quieter in ways that matter beyond audio.

What soundcore Earbuds Will Feature ANKER Thus™?
Thus will make its debut in our upcoming soundcore earbuds, launching at Anker Day on May 21, 2026.
We've built Thus into them to bring advanced AI audio capabilities — including Clear Calls with 10-sensor fusion — to everyday use, without compromising battery life.
We're also officially attempting the Guinness World Records™ title for "Highest speech quality score (G-MOS) for TWS earbuds (objective test)." G-MOS is a standardized benchmark that measures how clearly a speaker's voice comes through on a call — and it reflects real call performance, not just controlled test conditions. We'll share the results at Anker Day on May 21.
Specific model names, pricing, and full specifications will be confirmed at Anker Day. If you want to be notified when they go live, you can register your interest ahead of launch directly on our site.

Conclusion
Thus is the result of building something from scratch.
Calls that hold up in challenging environments, AI that responds with reduced latency, and processing that keeps your audio data local. That's what on-device AI was always supposed to feel like.
The first soundcore earbuds powered by Thus launch May 21 at Anker Day. Get the full details and sign up for launch updates directly on our site.
FAQ
What does "compute-in-memory" mean in simple terms?
Compute-in-memory means calculations happen directly inside the memory chip, rather than in a separate processor. Think of it like doing math on a sticky note rather than copying the numbers to a whiteboard, calculating there, and copying the result back. Data never has to move to be processed, which saves both time and energy. In earbuds, this means more powerful AI that uses less battery to run.
When will the first Thus-powered soundcore earbuds be available?
The first soundcore earbuds featuring ANKER Thus™ are scheduled to launch at Anker Day on May 21, 2026. Registration for launch updates is available on our site ahead of the release date.
Does ANKER Thus™ require an internet connection to work?
No. Thus runs key AI audio features directly on the device, so core capabilities like call noise cancellation work without requiring continuous cloud connectivity. There's no server dependency for the AI layer and no cloud roundtrip. Your call audio still travels over your carrier's network as with any phone call — what Thus keeps on-device is the noise cancellation and audio analysis that happens before and after.
How does Thus differ from chips in conventional earbuds?
Most earbuds on the market today use processors where memory and compute are physically separate. That separation limits both the size of the AI model that can run on-device and how efficiently the chip uses power for AI tasks. Thus uses a compute-in-memory architecture, which removes that separation entirely. The result is a larger, more capable AI model that uses less energy to run. That difference becomes most noticeable in demanding real-world conditions, like noisy call environments.


