DuckMan

Interested in the stock market

[DuckMan @DuckStockMan]

Listen to the CEO of @BrainChip_inc explaining how Akida GenAI will have the same functionality of the generative AI models but without a need to have access to the internet and with less power and memory consumption.
$BRN $BRCHF

[DuckMan @DuckStockMan]

🚨 FRESH CATALYST — $BRCHF / $BRN

On June 2nd dropped at COMPUTEX 2026 in Taipei: MICROIP (TPEx: 7796), a Taiwan-listed ASIC design & AI software specialist, has announced a formal partnership with BrainChip to develop ultra-low-power AI models AND tactical onboard radar classification technology using Akida neuromorphic chips.

Read that again. Radar classification. On-device. Ultra-low power.

This is not a vague MOU. This is a Taiwanese semiconductor firm — in the heart of the global chip supply chain — embedding BrainChip’s neuromorphic IP into real defense-grade edge AI products. After the US Air Force Research Lab radar contract, this is the second radar-focused validation of Akida in a matter of months.

The pattern is undeniable: defense, radar, autonomous vehicles, space-grade processors, industrial IoT. Every major edge AI vertical is converging on neuromorphic architecture — and BrainChip is the only commercially shipping, fully digital neuromorphic IP on the market.

While Nvidia burns megawatts per rack, Akida is being embedded into chips that will run for months on a battery.

The inflection is happening in real time. 🧠⚡

$BRCHF $BRN

[dlogic @dlogic9]

#BrainChip: Breakthrough in saving memory for LLMs (by 50% !!!). That means lower server costs, better utilization, longer contexts on the same hardware, less energy per request... watch the video.

https://t.co/ljDdL9RzQP

#Akida #LLM #Edge #AI

[DuckMan @DuckStockMan]

🎯 Watch BrainChip’s CMO break it down — and this is exactly why $BRN $BRCHF is different.

While the rest of the AI world is racing to build bigger data centers, BrainChip’s AKD1500 brings the intelligence directly into the device.

🧠 No cloud dependency
🔒 No privacy risk — your data never leaves the chip
⚡ No energy crisis — 800 GOPS at under 300mW, running on a battery
📡 No latency — inference happens at the edge, in real time

This isn’t just a chip. It’s a paradigm shift.

The AI revolution doesn’t need a data center. It needs a BrainChip.

$BRN $BRCHF 🚀

[DuckMan @DuckStockMan]

🧠 $BRCHF / $BRN — The most undervalued chip play of 2026 and nobody’s talking about it.

AI data centers will consume 1,100 TWh of electricity this year — equal to ALL of Japan’s power grid. HBM memory prices up 90% in a single quarter. GPU racks hitting 50kW+, forcing liquid cooling just to stay online. The architecture powering the AI boom is fundamentally broken — and the industry is spending $650B trying to patch it with bigger pipes instead of fixing the root cause.

BrainChip’s Akida fixes the root cause.

Neuromorphic chips that work like the brain — neurons only fire when there’s a real signal. No wasted cycles. No constant memory-to-compute data shuffling. The result? 1,000 inferences per joule vs 10–100 for GPUs. A 90–95% energy reduction. Compute and memory living on the same chip, eliminating the von Neumann bottleneck that wastes 80% of conventional processor power. No HBM dependency. No data center required.

The product stack is shipping: AKD1000 in production since 2022, AKD1500 for rugged/defense/drone deployments, Akida Pico at milliwatt-level for wearables, a 1.2B LLM running fully ON-DEVICE, and Akida Cloud onboarding developers now.

The partners are serious: US Air Force Research Lab 🛡️ — $PSN Defense 🛡️ — Ford & Valeo 🚗 — Frontgrade Gaisler for space-grade processors 🛸 — $RTX Raytheon AVC sponsor. $25M raise closed Dec 2025.

2026 is the inflection year. Neuromorphic patents up 401% YoY. $MB.NE Mercedes and GM Cruise exploring in-vehicle neuromorphic compute. BrainChip moving from pilot purgatory into full product integration. TAM: $20B by 2030 at 19.9% CAGR.

While $NVDA burns megawatts per rack, Akida runs sovereign, offline, real-time AI on a chip that fits in an M.2 SSD slot.

The energy crisis IS the BrainChip bull case. 🧠⚡

$BRCHF $BRN — Not financial advice.

[DuckMan @DuckStockMan]

The comparison between $SIVE Sivers Semiconductor and BrainChip ($BRN) is becoming increasingly interesting.

Before its explosive move, Sivers was largely overlooked. The market had not yet recognized its importance to the future AI infrastructure stack.

Today, BrainChip appears to share several similarities:

✔️ Solving AI’s growing energy consumption challenge
✔️ Addressing memory bottlenecks at the edge
✔️ 50+ patents in neuromorphic AI
✔️ Expanding ecosystem of partners and licensing agreements
✔️ Exposure to automotive, defense, drones, industrial AI and IoT
✔️ AKD1500 entering the commercialization phase

The AI industry is obsessed with building more data centers.

But perhaps the bigger opportunity lies in making AI dramatically more energy efficient and bringing intelligence directly onto devices.

The market eventually recognized the value of Sivers.

Will it eventually recognize the value of ultra-low-power edge AI and neuromorphic computing?

That’s the question.

$BRN $BRCHF #AI #EdgeAI #NeuromorphicAI #Semiconductors

[DuckMan @DuckStockMan]

The AI industry is heading toward an energy crisis.

Building more AI data centers is not the solution.

It’s like adding more gas stations instead of building cars that consume less fuel.

The real solution is developing AI chips that use dramatically less power and bringing AI directly onto devices.

Every drone, vehicle, camera, wearable, industrial sensor, and smartphone shouldn’t need to constantly communicate with a power-hungry data center.

AI should run locally.

That’s why I find BrainChip ($BRN) so interesting.

While much of the industry focuses on bigger models and larger data centers, BrainChip is focused on ultra-low-power neuromorphic AI that operates in milliwatts, enabling intelligence at the edge.

The future of AI won’t be determined only by who has the biggest data center.

It may be determined by who delivers the most intelligence per watt.

Edge AI.
On-device AI.
Neuromorphic computing.

That’s where the next major opportunity could emerge.

$BRCHF #AI #EdgeAI #NeuromorphicAI #Semiconductors #Akida

[DuckMan @DuckStockMan]

AI is expensive and even $GOOG is going to raise billions of dollars and dilute existing shareholders. The dilution itself is not a problem if the company uses that money to move forward. $BRCHF raised $35M in December and it would be enough for a while also with winning new contracts and projects, there might be no need for raising money.

[DuckMan @DuckStockMan]

$BRN BrainChip commercialisation map is getting real.

Not hype — here are the publicly visible contracts, orders, licences & partnerships I found:

Neuromorphyx / Nex Novus
✅ Strategic customer + go-to-market partner
✅ Initial order: 1,200 AKD1500 chips
✅ Vision NeuroNode / NeuroBlocks / NeuroHive edge-AI platform
$PSN Parsons / Blue Ridge Envisioneering
✅ Multi-year strategic agreement
✅ Akida processors to be integrated into defense & intelligence edge-AI systems
✅ Access to AKD1500 + BrainChip AI Enablement Package
Raytheon / $RTX
✅ Partner on AFRL neuromorphic radar contract
✅ Focus: micro-Doppler radar signal processing mapped onto neuromorphic chips
EDGEAI
✅ Global, non-exclusive Akida 2 IP licence
✅ Initial target: next-gen smart / rapid metering SoCs
✅ Milestone payments + royalties reported by market sources
ASICLAND
✅ IP distribution licence
✅ ASICLAND can integrate Akida IP into customer SoC designs, subject to BrainChip approval
Frontgrade Gaisler
✅ Akida IP licence
✅ Space-grade microprocessors with neuromorphic AI capability
MegaChips
✅ Akida IP licence / strategic partnership
✅ ASIC route into industrial, automotive, IoT, cameras, robotics, drones, medical & security markets
MicroIP
✅ Strategic ecosystem partnership
✅ Hardware, software, ML model and ASIC design collaboration around Akida
MulticoreWare / P-Product / BeEmotion. ai
✅ Strategic software partners
✅ Building and optimizing ML models for AKD1500
Prophesee
✅ Event-based vision partnership
✅ Neuromorphic sensor + Akida edge inference combination
Edge Impulse
✅ Developer ecosystem partnership
✅ Faster ML deployment on Akida for edge AI developers
SiFive
✅ RISC-V + Akida collaboration
✅ Optimized AI/ML compute for chip designers at the edge
HaiLa Technologies
✅ Ultra-low-power wireless connectivity + Akida edge AI demo for IoT sensors
AkidaTag / Akida Cloud / M.2 / Edge AI Box
✅ Product ecosystem expanding beyond pure IP
✅ Easier developer access, benchmarking, prototyping and field testing

The key point: BrainChip is no longer just “research neuromorphic AI.”
It now has:
• chip orders
• IP licence deals
• defense partnerships
• space-grade licensing
• ASIC distribution channels
• developer tools
• software ecosystem partners
• AKD1500 production targeted for Q3 2026

The real test now is simple: convert this ecosystem into material revenue, royalties and repeat orders.

But at today’s valuation, the market is still pricing $BRCHF like commercialisation has not started.

I think that disconnect is exactly where the opportunity is.

[BrainChip @BrainChip_inc]

The European edge AI community is meeting in London.

BrainChip will be at #EdgeAILondon 2026, June 7-9 connecting with builders and engineers driving on-device intelligence forward.  

Register: https://t.co/31wsMkcjWE

[DuckMan @DuckStockMan]

@ChipMan06083133 Agree with you. And even with hive mind it can dominate generative ai as well.

[DuckMan @DuckStockMan]

Investors forget that we’ve seen this movie before.

$SIVE went from an overlooked small-cap semiconductor company to a market darling, delivering a massive multi-bagger run once investors recognized its role in the AI infrastructure stack.

Today, BrainChip $BRCHF is where Sivers once was.

✅ Proprietary technology protected by 50+ patents
✅ Solving one of AI’s biggest challenges: power consumption and memory bottlenecks
✅ Growing ecosystem of partners and licensing agreements
✅ Edge AI exposure across automotive, defense, drones, industrial IoT, healthcare, and consumer devices
✅ Entering commercialization phase

The market is currently valuing BrainChip as a speculative microcap.

What happens if Akida proves commercial adoption at scale?

The biggest winners in AI weren’t always the companies with the most revenue they were the companies solving the most important problems before the market noticed.

Sivers was one example.

BrainChip could be NEXT.

[DuckMan @DuckStockMan]

I introduce you the next $SIVE
@BrainChip_inc $BRCHF
@aleabitoreddit

[Trend Serra Capital | Medici @NomisesMedici]

@BrainChip_inc @RTX_News #Brainchip: Chart analysis based on Elliott Wave theory...let's go🚀🚀🚀
https://t.co/7uYs0YnC5J

[DuckMan @DuckStockMan]

@NomisesMedici @aleabitoreddit Totally agree! We just need a big contract and @aleabitoreddit attention :)) Go Brainchip $BRCHF

[DuckMan @DuckStockMan]

Fair point. Akida isn’t trying to compete with NVIDIA inside hyperscale data centers. The opportunity is different: moving intelligence from the cloud to the edge. As AI expands into drones, robotics, vehicles, sensors, industrial IoT, and defense systems, power efficiency becomes a critical constraint. That’s where Akida’s ultra-low-power architecture has an advantage. The question isn’t whether data centers need more GPUs; it’s whether billions of devices will need efficient AI at the edge. $BRN $BRCHF

[DuckMan @DuckStockMan]

AI is not just facing a compute problem.

It is facing an energy and memory crisis.

The next phase of AI will not only be about who has the biggest GPU cluster. It will be about who can deliver intelligence with less power, less heat, less data movement, and less dependence on massive cloud infrastructure.

This is where BrainChip $BRN / $BRCHF becomes very interesting.

Today’s AI architecture is extremely energy-hungry because huge amounts of data must constantly move between memory and processors. This “memory wall” is becoming one of the biggest bottlenecks in AI.

Bigger models need more data movement.
More data movement means more energy.
More energy means more cost, more heat, more infrastructure, and more pressure on power grids.

That model cannot scale forever.

BrainChip’s Akida was built for a different world: low-power, event-based, neuromorphic AI at the edge.

Instead of processing everything all the time, Akida focuses on meaningful events and sparse data — closer to how the brain works. That means AI inference can happen locally, in real time, with dramatically lower power consumption.

This matters for drones, robotics, cars, sensors, cameras, medical devices, industrial IoT, and defense systems — exactly the sectors where cloud AI is often too slow, too power-hungry, or impossible to use.

The future of AI will not only be in giant data centers.

It will be on devices.

And if AI moves to the edge, power efficiency becomes king.

That is why I believe BrainChip is not just another chip company. It is positioned around one of the biggest unsolved problems in AI: making intelligence efficient enough to scale everywhere.

The market may still see $BRN as “too early.”

I see a company sitting directly in front of the energy and memory bottleneck of AI.

Great tech. Huge problem. Massive potential.

[DuckMan @DuckStockMan]

@TheodorusAtheos @Gubloinvestor I think it is not early and timing is very good as AI is running into power and memory bottlenecks, and BrainChip was built to solve exactly that problem. If commercialization continues to accelerate, today’s valuation may look absurdly cheap in hindsight. $BRN $BRCHF 🚀