MDhere
Top 20
Very proud times for us to be in line with Arm like this. Arm and Brainchip together.
Boomidity boom boom
BRN Discussion Ongoing
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Boomidity boom boom
buena suerte :-)
BOB Bank of Brainchip
Enjoy mate....
Appreciate all of your great informative posts...Well deserved holiday Cheers
Tothemoon24
Top 20
buena suerte :-)
BOB Bank of Brainchip
Tothemoon24
Top 20
That’s what she saidWow...very nice
BrainShit
Regular
I would rather expect Akida as an accelerator in the N3 / V3 Version.
The CSS-N3 offers a 20% performance-per-Watt improvement per core over the CSS-N2. This CSS design comes with between 8 and 32 cores, with the 32-core version using as little as 40 W. It’s intended for telecoms, networking, DPU, and cloud applications and can be used with on-chip or separate AI accelerators. The new N3 core is based on Armv9.2 and includes 2 MB private L2 cache per core. It supports the latest versions of PCIe, CXL and UCIe.
When switching from N2 to N3, the maximum L2 cache doubles to 2 MByte. AI algorithms benefit the most from this - the performance leap is achieved without new data formats. The common INT8 and Bfloat16 variants are already supported by the 2 generation.
"Today we are proud to announce that Arm Total Design has expanded to include over 20 partners, all committed to ensuring broad accessibility of performant, efficient solutions that will help meet the computing demands of an AI-accelerated future. These partners are already working together on everything from verifying IP, and customizing firmware, through to building chiplets on the world’s most advanced process nodes – all using Neoverse CSS."
Link: https://www.eetimes.com/arm-updates-css-designs-for-hyperscalers-custom-chips/
Link: https://www.heise.de/news/ARM-blaest-zum-Angriff-auf-AMD-Intel-und-teils-Nvidia-9634864.html
Link: https://newsroom.arm.com/news/enabling-ai-infrastructure-on-arm
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buena suerte :-)
BOB Bank of Brainchip
Fact Finder
Top 20
Hi K
The shares available in the event of a run is interesting to consider.
In recent months someone posted that the top 1,000 share holders control about 70% of the shares on issue. I suspect that those 1,000 holders will be less likely to be holding short term and most likely to have a solid medium to long term strategy.
Then the next 30 percent some portion of this group will also have a settled plan for their investment. I speak via private message on here with younger holders who tell me they understand the technology and have invested in Brainchip for the long haul hoping it will be the next Apple or Nvidia and they to have very long time lines in contemplation.
Anyway the point is it seems to me that while Brainchip has about 1.8 billion shares on issue only a relatively small proportion of those shares are actually available or will be made available.
We have seen over the last fortnight that it was pretty easy for a few hundred million shares to change hands quite quickly.
If someone or something has been accumulating with a longer term vision it might be surprising how few shares are actually available now to be acquired.
Your suggestion that supply will dry up could possibly be very close to coming true.
My opinion only DYOR
Fact Finder
buena suerte :-)
BOB Bank of Brainchip
McHale
Regular
Hi @Fullmoonfever, I thought that BRN had said that China was out, of course China wants in; and your post clearly does not allude to Akida specifically, but as we know - whoever wins the tech war takes all.Looks like Huawei on the bandwagon too.
Just need one of these tech behemoths out there to publicly say...you know what...BRN, you can save us sheetload of R&D time and $ so here's a signature
Research Engineer in Neuromorphic Algorithms - Huawei Switzerland
Huawei is a leading global information and communications technology (ICT) solutions provider. Driven by a commitment to sound operations, ongoing innovation, and open collaboration, we have establ...careers.huaweirc.ch
HUAWEI RESEARCH CENTER ZÜRICH
Research Engineer in Neuromorphic and Neuro-inspired Computing Algorithms
If you are enthusiastic in shaping Huawei’s European Research Institute together with a multicultural team of leading researchers, this is the right opportunity for you!
Apply for this job
Huawei is a leading global information and communications technology (ICT) solutions provider. Driven by a commitment to sound operations, ongoing innovation, and open collaboration, we have established a competitive ICT portfolio of end-to-end solutions in telecom and enterprise networks, devices, and cloud technology and services. Our ICT solutions, products, and services are used in more than 170 countries and regions, serving over one-third of the world's population. With 180,000 employees, Huawei is committed to enabling the future information society, and building a Better Connected World.
Our Huawei Zurich Research Center is embedded in the European network and plays a pivotal role in driving innovation. The research work of our Labs is carried out not only by Huawei's internal research staff but also by our academic research partners in universities across Europe. .
The Neuromorphic Computing Research Lab is in charge of incubating and developing cutting-edge Computing and AI technologies. Neuromorphic and Brain-Inspired Computing will play a key role in the next generation AI.
More specifically, the Lab conducts research and development on cutting edge Neuro-inspired Computing Algorithms/Materials, including but not limited to brain-mimetic algorithms design, neuromorphic computing elements, spiking neural networks, their training and optimal topology, distributed intelligent agents, knowledge representation and learning algorithms, algorithm optimization and acceleration, multi-modal learning.
For our Neuromorphic and Neuro-inspired Computing Research Lab in Zurich, we are looking for a high caliber:
Research Engineer in Neuromorphic and Neuro-inspired Computing Algorithms
Responsibilities
- Research on Neuro-inspired computing and learning frameworks, key technologies and industry best practices;
- Research and develop architectures and learning algorithms for next generation AI tools and applications;
- Keep up to date with the latest research literature, attend conferences, and learn continuously to stay on the forefront of research
- Work closely with a multidisciplinary team inside Huawei for integrated solutions;
- Develop patents and publish academic articles in top venues (NeurIPS, ICLR, ICML, …);
China has been diligently infiltrating all Western academic tech institutions for many a day.
Newk R
Regular
Don't get too excited. The manipulation wi the small cheaper parcels has started already.
Pom down under
Top 20
I might have got my knickers in a twist but I did say we’d be green today and what a lovely day it is as well. The view from the apartment Brainchip is going to buy me.
Fact Finder
Top 20
Hi McHale
A long time ago now someone found that two AKD1000 chips had been hooked up to a Huawei GPU at a Research facility in Europe as part of some public private research initiative.
Huawei was an official sponsor but on my enquiry of Brainchip they denied any involvement.
I am sure that the person who shared this information will remember and might even generously put it up again.
My opinion only DYOR
Fact Finder
I recall from my memory way back to the Co's first chip production issue with TSMC ... was that the BRN used the wordsEdge box’s.
My following post will demonstrate my lack of memory and retrieval skills from this site but here goes anyway.
My understanding was that when Akida 1000 was made we paid TSMC for the disc to be made and then various samples were used to validate the run and then various demo kits were provided to uni’s etc. This was part of the requirement to prove the idea worked in silicon which it surpassed most expectations. There was obviously a quantity of chips left over ( unknown number of discs made) so the exact number of chips remaining after that first run remains a mystery. We also sold a very limited number of devices on our web page with even some TSE members posting their purchase photos on the system.
So my belief is that the initial lull in take up in our IP model only approach resulted in a desire to show the product in a more user friendly environment and the edge box opportunity presented and allowed the company to maximise the remaining 1000 model chips to be used.
Now I have not seen anything in the financial records or company releases that we have gone back to TSMC and had another run of the 1000 model chips made.
Thus my expectations of edge box sales are not huge.
What is huge is the addition of a tool, cheap one too, that will provide those interested but maybe on the fence or cautions over funds customers to try the tech and play before they commit.
OK those with better research skills and memory shoot me down in flames. (Be kind)
" several thousands " when referring to the actual number of Akida sample engineering chip's production run ............. I took this to mean 7,000 " WAFFERS " as it is my understanding at the time that Chip manufacturer's used the number of waffers produced approach rather than the actaul number of chips per run... thus using my methodology I would allow some ~250 chips per waffer X 7,000 waffers = 1,750,000 individual chips produced .......... I think at around the same time that there may have been an expectation that we may have been used in the "Nanose" covid detection device and to supply EAP customers .......... So I do believe that we still have lots of Chips left over to meet current Edge Box demands and potentially other projects/reseach and educational needs.
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