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#CoralNPU
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The refusal to pay for proprietary nVidia, AMD, Intel or ARM AI just advances my agenda:

#RISC-V #RVA23 with open non-spyware #CoralNPU cores - few if you hate LLMs, many if you love them - will crush these proprietary chips. They'll be far cheaper, made in China, not a lot slower or power hungry.

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Quick primer:

A modern #datacentre relies on #RISC-V ( #RVA23) open #AISoC chips typically with #CoralNPU codes to train #LLM. Totally open designs any chipmaker can customize, any chip fab can create.

More specialized inference wafers are much larger simpler chips (like #Groq).

#ARM is legacy.

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Preview
Best Neuromorphic Chips 2026: Brain-Inspired AI Hardware Discover the best neuromorphic chips and AI accelerators for 2026. We tested Intel Loihi, NVIDIA Jetson, Raspberry Pi AI HAT+, and more for edge AI performance and practical applications.

www.propelrc.com/best-neuromo...

The simplest #CoralNPU #SoC at 2 TOPS is about in the middle range of #RVV1 class #RISC-V accelerators. The #nVidia and #RaspberryPi #edgeAI devices offer 10-50TOPS but in 2026 it's certain that #RVA23 will dominate levels under 100TOPS, with #PyTorch support, etc.

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Preview
Introducing HAL riscv-rvv: Unleashing the power of RISC-V CPUs with RVV 1.0 This article was written by Yuantao Feng of the OpenCV China Team. What is RISC-V and RVV 1.0? RISC-V (pronounced “risk-five”) is an open standard instruction set architecture (ISA) based on the princ...

opencv.org/blog/introdu...

#RVV "defines a scalable #RISC-V vector architecture like Intel’s AVX or ARM’s NEON [but] length-agnostic...from 128 bits to 1024 bits or more—without recompilation."

#RVV1 is part of #RVA23 & used in #CoralNPU for #SoC wearables, augmented reality glasses, smartwatches.

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China’s Next AI Shock Is Hardware
China’s Next AI Shock Is Hardware YouTube video by CNBC

youtube.com/watch?v=k_bH...

US experts admit losing the #AIrace to the less advanced but radically cheaper China chips and #opensource approach. This is accelerating due to #CoralNPU released by #Google, Meta+Google cooperating on #TorchTPU, #RVA23 and #RVV1 #RISC-V, China's rising #HBM3 capacity.

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Realizing this, Google & Meta steered clear of the disaster, as had Amazon previously by making it's own chips.

The Google #CoralNPU release and the collaboration on #TorchTPU bypasses all #nVidia / #Palantir #spyware #killswitch to preserve global appeal of #GoogleCloud.

nVidia bought Groq

3/3

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Toronto's real capital

Re "localization, openness, repair, and maintenance" this to me suggests at least:

#RVA23 #CoralNPU #TorchTPU
#Linux #PostgreSQL
#ConvergedEthernet #PowerOverEthernet
#GPMI-B as #torus_interconnect
#source_code_escrow

#blind_credential access to #capital_asset
web.archive.org/web/20041220...

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Update: nVidia licensed Groq chips and bought off the team, so I think the chips will get licensed to other big makers as an alternative to #CoralNPU Google gave away.

The chip compiler patents and the team that wrote it appear to have taken cash to walk - about 50 of them - who knows where.

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We are not here because it's Bluesky we are here because the #ATprotocol lets us retain identity elsewhere. That is, we will be thrown off and banned for certain but it'll be easier to respawn in the #fediverse.

Consider that #RISC-V, #Linux, #PostgreSQL, #CoralNPU, #Ethernet, #GPMI-B outlast USA.

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#ToBeFair #nVidia is also a fraud: while their chips are energy efficient by 2x over #Huawei alternatives, their networking at 72 chips/rack is far behind Huawei 384 and the nearly 10,000 of Google's #IronwoodTPU. Google gave away #CoralNPU so anyone can add AI cores to #RVA23 dies. 1/2

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