I was gunna say that!Thanks @Diogenese.
I've just run your post past my buddy ChatGPT and here's the response I received.
ChatGPT 5:
1. Comparing Ethos U85 and Akida 3
Ethos U85
Akida 3
- Limited to INT8 or lower precision.
- Designed primarily for CNNs (convolutional neural networks) and some newer architectures like Transformers, but still tuned for image, vision, and low-to-mid precision inference.
- Weight compression, clustering, and pruning help with efficiency, but it’s still fundamentally in the “traditional NPU” space.
- Very well suited for consumer devices, IoT, and embedded AI where tasks are quantized to 8-bit or less.
- Expected to support INT16 and FP32 in addition to low-bit SNN modes.
- This opens the door to high-precision workloads — e.g., certain medical imaging, radar/SAR processing, industrial inspection, scientific data analytics — where you can’t afford the precision loss of 8-bit quantization.
- Still ultra-low power thanks to neuromorphic event-based processing.
- Could run mixed workloads (spiking and non-spiking) at the sensor edge.
2. Implications if Akida 3 Exceeds Ethos U85 in Precision
If Akida 3 can cover all the U85’s use cases plus high-precision domains that the U85 can’t touch, then:
- BrainChip could potentially “superset” the market — competing in all U85 application spaces and in several new verticals where U85 simply isn’t viable.
- It would also position BrainChip as a partner rather than just a competitor — because ARM licensees could still integrate Akida alongside Cortex CPUs and Ethos NPUs for mixed workloads.
3. Size of the Ethos U85 Market
ARM NPUs are increasingly going into:
Given ARM’s licensing footprint, the U85 market could be tens to hundreds of millions of units annually once adoption ramps.
- Smartphones & tablets
- Consumer IoT devices
- Smart cameras / vision sensors
- Automotive driver monitoring & ADAS
- Robotics & drones
- AR/VR devices
If Akida 3 is drop-in compatible with ARM system designs (which it already tends to be), BrainChip could target this same customer base — either as:
- A replacement in cases where high precision or neuromorphic advantages are needed
- A complementary co-processor for event-based or ultra-low power workloads.
4. Ideal Application Areas Where Akida 3 Could Beat U85
- Medical imaging devices needing edge processing without quantization artifacts.
- SAR and radar systems for defense or environmental monitoring.
- Industrial inspection systems where measurement tolerances are tight.
- Scientific instrumentation in field research.
- High-end automotive perception stacks needing both low latency and precision.
- Secure edge devices that must process locally without cloud and without sacrificing accuracy.
If you want, I can map Ethos U85’s public design targets against Akida 3’s potential capabilities so you can see exactly where the overlap and expansion opportunities are. That would make the competitive positioning very clear.
You said:
Yes please.
ChatGPT said:
Here’s a structured comparison of ARM Ethos-U85 vs. BrainChip Akida 3 with overlap and expansion mapped clearly.
1. Overlap — Where Akida 3 Could Compete Directly with U85
Feature / Use Case Ethos-U85 Akida 3 Comments INT8 inference for vision AI Both handle low-bit CNN/Transformer workloads efficiently. Edge AI in ARM-based SoCs Akida is already ARM-compatible and could replace U85 in designs. Consumer IoT & smart home devices E.g., cameras, voice assistants, home hubs — same target market. Robotics & drones Both can handle perception & navigation; Akida offers ultra-low power SNN modes. Automotive driver monitoring Akida could match U85 for INT8 workloads, but also add mixed precision. AR/VR lightweight inference Both could run vision-based gesture tracking or object recognition. 2. Expansion — Where Akida 3 Could Offer More Than U85
Feature / Use Case U85 Limitations Akida 3 Advantage High precision (INT16 / FP32) Only ≤INT8 Akida 3 can run models that require higher precision, e.g., medical imaging, radar processing, industrial measurement. Mixed-mode processing Primarily CNNs / Transformers Akida 3 can combine SNN + ANN + mixed precision in one device. Event-based data handling Not designed for spikes Akida 3 natively supports event-driven SNN processing, reducing power & latency. On-device learning / adaptation Limited to retraining off-device Akida 3 supports incremental learning on-chip — key for adaptive edge AI. Sparse computing efficiency Relies on compression & pruning Akida 3 exploits sparsity at the architectural level without preprocessing overhead. 3. Market Size & Entry Points
Ethos U85 Target Segments (High-Volume ARM Licensing):
Akida 3 Entry Strategy:
- Smartphones (tens of millions annually)
- Smart cameras & home devices
- Embedded industrial AI
- Low-power automotive systems
- Replacement: For U85 use cases that require more precision or event-based efficiency.
- Complementary Co-Processor: Add alongside U85 in ARM SoCs for heterogeneous workloads (U85 for bulk CNN, Akida for adaptive SNN & high precision).
- Standalone in Niche Markets: Where U85 simply can’t go — e.g., SAR imaging, advanced radar, in-body medical devices.
4. Strategic Implications for BrainChip
- Leverage ARM’s ecosystem: If marketed as ARM-friendly IP, Akida 3 could be pitched to the same silicon partners already licensing U85.
- Precision-based differentiation: BrainChip can claim “U85 compatibility plus high-precision reach.”
- Defense & medical edge: Especially valuable for contracts where accuracy matters more than raw throughput.
BRN Discussion Ongoing
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Bravo
If ARM was an arm, BRN would be its biceps💪!
If Akida 3 tape-out is in Q1 2026 and the FPGA is available in Q2 2026, then you'd have to think the most likely licence commitment window for Arm would be somewhere between Q2 2026 – Q4 2026.
If Arm is really interested, they'll probably negotiate NDAs, architectural access, and preliminary terms before tape-out so they can get priority access to the FPGA in Q2 2026, which would enable them to lock Akida 3 (into the Ethos successor roadmap, for example) without delaying their own silicon schedules IMO.
I don't see any advantage in running Akida 3 with Ethos U85.
It is open to anyone to license the ARM Cortex M85 CPU IP and combine it with Akida 2 or 3 IP in a SoC. Both Akidae include the TENNs model, and would have significant power and latency advantages over Ethos U85.
If BRN had the resources of Nvidia/ARM/Intel, Akida 3 SoC would be on the market now.
As I said, it could, for instance be combined with ARM Cortex M85 (the Ethos U85 processor), or any other compatible processor.
I guess there will be some internal resistance in ARM - we need to get Mr Son's ear.
PS: Assuming ARM do go ahead with their chip making plans.
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Imagine this: The BrainChip sales team walks into Apple’s or Mercedes’ HQ — and all other potential customers as well — without an appointment, silently installs an Akida module into their devices or cars, leans back casually, smiles at the camera, winks … and then pulls out a pack of Mentos:
“Akida – the fresh kick for your AI.”
We need go-getters like back in the day — and customers who respond with an approving smile, because they’re real foxes.
“Akida – the fresh kick for your AI.”
We need go-getters like back in the day — and customers who respond with an approving smile, because they’re real foxes.
smoothsailing18
Regular
Ask Gpt....How many partners does brainchip have
BrainChip has over 100 partners across various categories, including IP technology, solutions enablement, silicon integration, OEM integration, and collaborations. This extensive network supports the development and deployment of their neuromorphic AI technology, Akida™ [1] [2] [3].
According to www.iAsk.Ai - Ask AI:
BrainChip's partnerships span a wide range of industries and applications, reflecting their strategy to integrate their Akida™ neuromorphic processor into diverse systems and expand its market reach [1] [2]. Key partnership categories include:
BrainChip has over 100 partners across various categories, including IP technology, solutions enablement, silicon integration, OEM integration, and collaborations. This extensive network supports the development and deployment of their neuromorphic AI technology, Akida™ [1] [2] [3].
According to www.iAsk.Ai - Ask AI:
BrainChip's partnerships span a wide range of industries and applications, reflecting their strategy to integrate their Akida™ neuromorphic processor into diverse systems and expand its market reach [1] [2]. Key partnership categories include:
- IP Technology Partners: These partners, such as Arm, Andes Technology, and SiFive, integrate BrainChip's neuromorphic IP with their processor cores to create power-efficient AI solutions for edge devices [1] [3]. For instance, the collaboration with SiFive combines their RISC-V processor IP with Akida-E and Akida-S/P neural processors for deeply embedded applications and more complex tasks like object detection and robotics [3].
- Solutions Enablement Partners: Companies like Edge Impulse, Prophesee, and HaiLa work with BrainChip to optimize AI/ML development, modeling, or inference software with Akida™ integration [1] [4] [5]. The partnership with Prophesee, for example, focuses on combining neuromorphic vision systems with Akida for ultra-low power computer vision in areas like autonomous vehicles and industrial automation [4]. A recent collaboration with HaiLa aims to demonstrate ultra-low power edge AI connectivity for IoT sensor applications, enabling devices to operate for years on a single coin cell battery [5].
- Silicon Integration Partners: These partners, including MegaChips, GlobalFoundries, and Intel Foundry Services, license Akida™ IP for manufacturing into System on Chip (SoC) products or implementing Akida silicon into ready-to-use modules [1] [6] [7]. BrainChip's work with GlobalFoundries on the AKD1500 reference design validates their IP across different processes and foundries [7].
- OEM Integration Partners: Companies like Teksun and VVDN produce board and box-level product solutions based on Akida silicon implementations for various end markets [1] [3].
- Customers and Collaborations: BrainChip also works directly with customers and engages in collaborations with organizations such as NASA, the European Space Agency, Mercedes-Benz, and the US Air Force Research Laboratory (AFRL) [3] [8] [9]. Their partnership with Frontgrade Gaisler aims to integrate Akida into next-generation radiation-hardened chips for space applications [8].
- University AI Accelerator Program: BrainChip partners with universities like Arizona State University, Carnegie Mellon University, and Rochester Institute of Technology to provide hardware, training, and guidance to students, fostering future AI engineering talent [1] [3].
Pom down under
Top 20
How all us share holders feel right now
The Pope
Regular
Hi Bravo
The phone number for SoftBank Group Corp., where Masayoshi Son is the Representative Director, Corporate Officer, Chairman & CEO, is +81-3-6889-2000, according to SoftBank Group Corp.'s website
Go on give it a call and introduce yourself.
Cheers
smoothsailing18
Regular
Bravo
If ARM was an arm, BRN would be its biceps💪!
I got through to someone at reception and I told them I wouldn't stop crying until they put me through to Masayoshi Son. They've got me on hold at the moment, so, fingers crossed!
MDhere
Top 20
sorry this looks all great with the gifs and all but can we stop putting brainchip in made up gifs . It is funny and all but I am a bit sick of them, sorry to burst your bubble and be a negative nancy on this. the gifs are funny but please leave the official name out. sorry in advance for the rant. rant over.
CHIPS
Regular
Great idea! And while we are at it, can we please stop posting all the ChatGPT stuff for every thought several times a day? If I want to know what ChatGPT says, I will contact ChatGPT. Let's start thinking for ourselves again, please.
Humble Genius
Regular
The packet he is holding says Menlos....... hope its not a sign of someone alse leaving the company
supersonic001
Regular
Tesla's $16.5B AI chip deal with Samsung: A manufacturing boom for Nevada? | Nick DeGregorio posted on the topic | LinkedIn
Elon Musk Just Locked In $16,500,000,000 of AI Chips And It Could Ignite a Nevada Manufacturing Boom Tesla’s eight-year, $16.5B deal with Samsung for next-gen A16 AI chips isn’t just about cars. It’s about locking in the tech to power autonomous vehicles, humanoid robots, and AI data centers...
Bravo
If ARM was an arm, BRN would be its biceps💪!
HI Chips,
I think ChatGPT can be an extremely useful research tool when it’s used wisely. I also believe the latest version, ChatGPT-5, has improved noticeably over its predecessor.
The key is that you still need to know the subject matter well enough to fact-check its main points and ensure it’s not hallucinating. That’s exactly what I do with the ChatGPT responses I share here.
Most of the time, I’m asking hypothetical questions about BrainChip’s technology and its potential future direction. The answers are often quite enlightening and they provide me fresh perspectives, technical angles, and pointers to sources I might never have come across otherwise, which I can then then review, verify, and refine before sharing here.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Tesla's $16.5B AI chip deal with Samsung: A manufacturing boom for Nevada? | Nick DeGregorio posted on the topic | LinkedIn
Elon Musk Just Locked In $16,500,000,000 of AI Chips And It Could Ignite a Nevada Manufacturing Boom Tesla’s eight-year, $16.5B deal with Samsung for next-gen A16 AI chips isn’t just about cars. It’s about locking in the tech to power autonomous vehicles, humanoid robots, and AI data centers...www.linkedin.com
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Hi @supersonic001 ,
It seems like everyone is trying to outdo one another in the AI stakes ATM.
For example, I was reading about Elon Musk's rival, Sam Altman earlier today.
Sam Altman is now backing a "BRAIN CHIP" company (yes, you heard that right), to compete with Neuralink, which I thought was quite funny. But also, not funny, (because it's not our BrainChip, unfortunately)!.
Sam Altman Reportedly Launch Rival Brain-Chip Startup to Compete With Musk's Neuralink
Open AI Sam Altman predicts brain implants will lead to humans and tech merging.
CHIPS
Regular
I understand that @Bravo, but if you look at the likes of my a.m. post, you will see that many people do not want to read and/or scroll through those lengthy ChatGPG posts either. There have been too many lately. Wouldn't it be an alternative to ask ChatGPT to summarize its findings in just a few sentences? I know that GROK can do that. Can we give it a try with that?
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