Hi FF,Anyone for some performance figures from the same Forbes article:
"Brainchip offers three Akida IP variants: E, S, and P:
E. The Max Efficiency variant (Akida-E) provides as many as four nodes (or 16 NPUs), runs as fast as 200MHz, delivers the equivalent of 200 GOPS (giga-operations per second) of performance, and needs only milliwatts of power for operation. The company says that this smaller variant is designed for running simpler AI/ML networks and is intended for use in continuously operating equipment where power consumption is at a premium.
S. The Sensor Balanced variant (Akida-S) can be configured with as many as eight nodes (32 NPUs), runs as fast as 500MHz, and delivers the equivalent of 1 TOPS (trillion operations per second) of performance, which is capable of running object detection and classification workloads.
P. The Performance variant (Akida-P) accommodates as many as 128 nodes (512 NPUs), operates as fast as 1.5GHz, and delivers the equivalent of 50 TOPS. The most capable version of the Performance variant includes optional hardware support for vision transformer networks that take the form of additional nodes in the internal Akida mesh network.
The high-end variant can run the full gamut of AI/ML models in Brainchip’s model zoo to perform tasks including classification, detection, segmentation, and prediction. Together, these Akida variants allow a design team to use one AI/ML architecture that scales from low-power configurations that consume mere microwatts of power to high-performance configurations that deliver dozens of TOPS, and according to BrainChip, can perform HD video object detection at 30 frames per second while consuming less than 75 milliwatts, which could result in very compelling portable vision solutions."
Talk about a versatile solution package.
My opinion only DYOR
FF
AKIDA BALLISTA
And then of course there's this...Oh, and speaking of Si-FIve customers, here's what Ziad Asghar, VP of Product Management for Snapdragon Technology and Roadmap at Qualcomm said in a statement in November 2022.
View attachment 31426
Baring in mind that Prophesee loves us and would no doubt be pushing for our inclusion in to Snapdragon platforms. And SiFive loves us too as can be attested in the latest statement from Phil Dworsky (Global Head of Strategic Alliances at SiFive).
So, come on Qualcomm, just go with the flow, because resistance is literally futile.
View attachment 31425
![]()
Compact RISC-V Cores Bring the Power to Wearables, Consumer Devices
With its latest 64-bit RISC-V CPU cores, the P670 and P470, SiFive is putting the focus on compute density.www.electronicdesign.com
I am pleased to see Kristopher Carlson’s name along side those of Peter van der Made and Anil Mankar he has been an incredibly loyal lieutenant.
If we list on US now we will get eaten alive, we need to built strong ship (strong partnerships & revenue sources) before we sail to NASDAQ IMOWe need to get off the ASX ASAP. This why we have extremely low US investors. Today we had 150,000 shares traded, average is 40,000 or less. We will not get the US investor until we are listed on NASDAQ.
Uuuuuuhhhhrrrrmmm...What!!!!!
I'm warming up my chakras and giving myself a migraine trying to will our incorporation in this one into existence.
The patent hasn't been issued as yet or at least not that I can access. This will be one for dear Dodgy Knees to follow up on @Diogense.
View attachment 31446
View attachment 31447
Both @NickBRN and @TechGirl jumped fast onto the Google connection thru SiFive and it looked like a solid lead. I would have thought that alone would get our hearts pumping. Are there others that need further convincing?“Through our collaboration with BrainChip, we are enabling the combination of SiFive’s RISC-V processor IP portfolio and BrainChip’s 2nd generation Akida neuromorophic IP to provide a power-efficient, high capability solution for AI processing on the Edge,” said Phil Dworsky, Global Head of Strategic Alliances at SiFive. “Deeply embedded applications can benefit from the combination of compact SiFive Essential™ processors with BrainChip’s Akida-E, efficient processors; more complex applications including object detection, robotics, and more can take advantage of SiFive X280 Intelligence™ AI Dataflow Processors tightly integrated with BrainChip’s Akida-S or Akida-P neural processors.”
Phil Dworsky, Global Head of Strategic Alliances, SiFive
Source: https://www.design-reuse-embedded.com/.../brainchip.../...
COMBINED WITH
Google deploys SiFive's Intelligence X280 processor for AI workloads. Hybridizes the RISC-V cores with TPU architecture.
Google is using the RISC-V-based SiFive Intelligence X280 processor in combination with the Google TPU, as part of its portfolio of AI chips.
Fabless chip designer SiFive said that it was also being used by NASA, Tenstorrent, Renesas, Microchip, Kinara, and others.
Source: https://www.datacenterdynamics.com/.../google-deploys.../