BRN Discussion Ongoing

rgupta

Regular
www.gizchina.com/2024/03/21/samsung-mach-1-ai-chip/amp/


"Samsung’s entry into the AI chip market with the Mach-1 does not directly aim at competing with ultra-high-end solutions like Nvidia’s H100 or B100 series. Instead, Samsung is focusing on developing an AI inference accelerator based on an application-specific integrated circuit (ASIC) that excels in edge computing applications. The company’s emphasis on low power consumption, minimal dimensions, and cost-effectiveness aligns with the growing demand for efficient AI solutions across various industries."

Happy as Larry
Is not it the same wording as brainchip advocates?!
 
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www.gizchina.com/2024/03/21/samsung-mach-1-ai-chip/amp/


"Samsung’s entry into the AI chip market with the Mach-1 does not directly aim at competing with ultra-high-end solutions like Nvidia’s H100 or B100 series. Instead, Samsung is focusing on developing an AI inference accelerator based on an application-specific integrated circuit (ASIC) that excels in edge computing applications. The company’s emphasis on low power consumption, minimal dimensions, and cost-effectiveness aligns with the growing demand for efficient AI solutions across various industries."

Happy as Larry
Hmmm. Samsung. SOC.

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Easytiger

Regular
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Mercedes - at the edge?
 
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Draed

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Tothemoon24

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Is it a little self indulgent of Sean to have his flowing locks placed on our Chip 😝


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Iseki

Regular
NVIDIA licence ARMs IP in many of their chips.
Don't think so. Can you name one? NVIDIA tried to buy arm, so maybe in the future they will.
 

buena suerte :-)

BOB Bank of Brainchip
80s teen here....what a decade to be a teen it was.

Incredible memories...thanks for the post.

You made me look Nena up as I thought surely she got to #1 too but nope... #2 😞

I still have about 4 shoeboxes of favourite tapes, including some mix tapes from the late 70s / 80s, some off the radio at the time haha

They go with my fully boxed (working) Commodore 64, with all the peripherals and about 80 floppys (that's disk's for you digital natives with filthy minds :ROFLMAO: ) and datasettes and my first Motorola Microtac mobile and charger etc.

Hoarder much :unsure::LOL:
80s teen here....what a decade to be a teen it was.

Incredible memories.......

Absolutely agree Fmf best ever decade to have grown up in without doubt..:)


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Eighties music night tonight me thinks :)

Have a great GREEN Friday Chippers :)
 
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IloveLamp

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Iseki

Regular
Don't think so. Can you name one? NVIDIA tried to buy arm, so maybe in the future they will.
EDIT: Right you are - they make the Tegra for the nintendo, a partner with MegaChips, so maybe something cam come of that.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
EDIT: Right you are - they make the Tegra for the nintendo, a partner with MegaChips, so maybe something cam come of that.

As posted previously, NVIDIA Drive Thor uses updated ARM Poseidon AE cores and AKIDA is compatible with Arm's product families.



Extract from article dated 19 March 2024

Screenshot 2024-03-22 at 10.03.15 am.png





I also think this news is quite relevant too.


UK’s Arm unveils new auto tech portfolio​

Claims these will accelerate automotive development cycles by up to two years
Dani ColeMarch 19, 2024
Share this article
ARM-430x241.jpg

British semiconductor and software design firm ARM has unveiled new ‘Arm Automotive Enhanced’ (AE) processors alongside new virtual platforms.
These, it says, will accelerate automotive development cycles by up to two years.
Arm cites that automotive development cycles are linear: first a processor IP is delivered, then silicon development begins, and only when hardware becomes available around two years later, can software developers start.

Its new approach will reportedly change that process. Instead, virtual prototyping takes place on latest-generation Arm AE IP, which allows software developers to start before the physical silicon is available.
 
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Taproot

Regular
EDIT: Right you are - they make the Tegra for the nintendo, a partner with MegaChips, so maybe something cam come of that.
 
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JoMo68

Regular
80s teen here....what a decade to be a teen it was.

Incredible memories.......

Absolutely agree Fmf best ever decade to have grown up in without doubt..:)


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Eighties music night tonight me thinks :)

Have a great GREEN Friday Chippers :)
80's teen too! I cringe when I think of my favourite songs. My husband LOVES to embarass me - he had way cooler taste in music. I seemed to have a penchant for the Stock Aitken Waterman production line :LOL: And what about the shoulder pads!!
 
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buena suerte :-)

BOB Bank of Brainchip
80's teen too! I cringe when I think of my favourite songs. My husband LOVES to embarass me - he had way cooler taste in music. I seemed to have a penchant for the Stock Aitken Waterman production line :LOL: And what about the shoulder pads!!
Love it good old S..A..and Waterman :)

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7für7

Top 20
Some people need obviously money for the weekend party 🙂↔️
 
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Diogenese

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Thought I’d remembered someone asking about this but in a previous presentation the information wasn’t blank. I wonder why they left it blank in the last presentation?




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Appears to be a diff basket if you look at the general heading of the tables imo.

The first one more of a general competitor analysis of neuromorphic or aligned processors eg Loihi (research), True North (not edge) etc.

The second presso table is "edge" competitor aligned by the looks.

Regardless of how we want Akida to be the front runner, there are diff processors appearing at the edge or fog or hybrid edge/cloud and they will be competitors whether we like it or not.

Part of why I wanted to know who they were so we could individually assess the competitors and do our own DD / research.
 
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Diogenese

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www.gizchina.com/2024/03/21/samsung-mach-1-ai-chip/amp/


"Samsung’s entry into the AI chip market with the Mach-1 does not directly aim at competing with ultra-high-end solutions like Nvidia’s H100 or B100 series. Instead, Samsung is focusing on developing an AI inference accelerator based on an application-specific integrated circuit (ASIC) that excels in edge computing applications. The company’s emphasis on low power consumption, minimal dimensions, and cost-effectiveness aligns with the growing demand for efficient AI solutions across various industries."

Happy as Larry

Hi TD,

"Samsung’s innovative approach with the Mach-1 involves utilizing LPDDR memory, a unique feature that significantly reduces memory bandwidth requirements for inference to about 0.125x when compared to existing designs. This strategic use of LPDDR memory positions the Mach-1 as a lightweight AI chip that does not rely on high bandwidth memory (HBM), which is currently scarce and expensive in the market."

This is not one of our chickens:

US2024086153A1 MULTI-BIT ACCUMULATOR AND IN-MEMORY COMPUTING PROCESSOR WITH SAME 20220914

A multi-bit accumulator includes 1-bit Wallace trees each configured to perform an add operation on single-bit input data, tristate logic circuits each configured to output a result of the add operation of the 1-bit Wallace trees according to an enable signal provided to the tristate logic circuits, and a shift-adder configured to perform an accumulation operation on the result of the add operation of the 1-bit Wallace trees by a shift operation based on a clock signal.
[0171] IMC [
in-memory compute] may accelerate a matrix operation and/or an MAC operation that performs addition of multiple multiplications at a time, which may be general for artificial intelligence (AI) learning and inference. The MAC operation for the learning and inference of the neural network 1210 may be performed through a memory array, and the memory array may include bit cells of a memory device in the IMC macro.
 
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AARONASX

Holding onto what I've got
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Know we know we are attending but got our booth and outine of what we doing there.


We're Proud of Our 2024 Sponsors, Exhibitors and Partners—with more to come!​

We’re proud of the first-rate exhibitors at the Embedded Vision Summit. They’re focused on practical, deployable computer vision and edge AI. Our exhibitors bring to the conference some quite remarkable technologies and solutions and provide fascinating demos. Connect with their technical experts and check out their newest technologies in their booths!​


BrainChipGoldExhibitorsEnabling Technologies Track: Product Presentations​

BrainChip will demonstrate a range of use cases based on Akida, an ultra-low-power, fully digital, event-based neuromorphic processor that targets advanced security, industrial, automotive and augmented reality applications. We will spotlight the Akida Edge AI Box, a compact box designed for video analytics, facial recognition and object detection, and can extend intelligent processing capabilities that integrate inputs from various other sensors.

Booth: #618
 
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