Mt09 , for the second time , would you like to present your best presentation as to why Akida ip is not in the Arm Ethos U85 ?
Looking at your recent contributions , I will understand if you decide to decline again .
Arm Ethos U85 and BrainChip Akida 2.0 comparisons
- Thread starter Doz
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Mt09 , for the second time , would you like to present your best presentation as to why Akida ip is not in the Arm Ethos U85 ?
Looking at your recent contributions , I will understand if you decide to decline again .
Namaz
Emerged
It depends on what is more important in your project: performance and flexibility (Ethos U85) or energy efficiency and specialized real-time computing (Akida 2.0).
Arm Ethos U85 is ideal for use in applications that require high performance and versatility.
BrainChip Akida 2.0 is the perfect choice for applications where energy efficiency and real-time performance are critical, such as IoT, medical devices, and power-constrained systems.
Arm Ethos U85 is ideal for use in applications that require high performance and versatility.
BrainChip Akida 2.0 is the perfect choice for applications where energy efficiency and real-time performance are critical, such as IoT, medical devices, and power-constrained systems.
Hi Namaz ,
You will find on pages 1 ,2 and 3 , such things as Arm‘s Paul Williamson’s claim that the Ethos U85 will operate in milliwatts and Rene claims that it is the lowest power transformer on the market , fast inference , SOTA performance , IoT , medical , edge , endpoint and much , much more .
Are you in a position to tell me one difference between Arm’s Ethos U85 and BrainChip’s Akida ?
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Interesting change in the wording , from Graph Neural Networks AND Spiking Neural Networks , to
Graph Neural Networks OR Spiking Neural Networks .
This to me indicates that Akida with TeNNs / Pleiades / aTENNuate can perform what current tasks GNN’s can perform but with the additional benefits as previously highlighted .
Arpan Pal moving from GNN to SNN for EEG processing may support this theory .
Graph Neural Networks OR Spiking Neural Networks .
This to me indicates that Akida with TeNNs / Pleiades / aTENNuate can perform what current tasks GNN’s can perform but with the additional benefits as previously highlighted .
Arpan Pal moving from GNN to SNN for EEG processing may support this theory .
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Hi wasMAD ,
First , I don’t follow NVU but I see that they plan to tape out a sample chip in quarter 4 2025 , with expectations of full production tape out Q1 2026 .
This fondly takes me back to 2020 . As such if I was interested in NVU , I would study Brainchip’s road in between 2020 and Q1 2026 when we are expecting an ASIC tape out of the AKD 2.0 by a customer . You may discover that the industry is very protective and only those who respect the ecosystem are welcome . You may discover that just providing a chip with 30 GOP’s is not what most customers want , or the fast change of technology requires NVU to reassess . NVU may need to raise lots of capital in this 5 or 6 year period , employ additional sales teams , PhD’s and replace those who leave . Is providing a chip enough , will potential customers want a full stack to go with the chip . Then there is that old saying , no one ever got the sack for buying IBM .
MAD , as any Brainchip shareholder will tell you , the 6 year road is tough , even tougher if you don’t realise when the share price is over valued . In my opinion , if NVU are thinking that they are going to disrupt the market in 2026 , boy have I got some news for you …..
MAD , remember I don’t follow NVU and I am not an advisor , so please DYOR and seek professional advice as required .
Doz .
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