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Is Your Hardware Trash? How E-Waste is Powering the Next Tech Revolution Radical Open Innovation News

How E-Waste is Powering the Next Tech Revolution

open.substack.com/pub/nocomple...

#innovation #foss #technology #ai #Taalas #unbinare #mojo

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Most AI runs on rented time. GPUs shuffling weights back and forth from memory, burning kilowatts just to think.

Taalas HC-series bakes model weights directly into silicon. No memory wall. No HBM. 17,000 tokens/sec on an air-cooled card. Weights to chip in two months. #AI #Taalas

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¿El fin de las GPU? Taalas revoluciona la IA: 10x más rápido y 20x más barato que Nvidia
¿El fin de las GPU? Taalas revoluciona la IA: 10x más rápido y 20x más barato que Nvidia YouTube video by En la mente de la máquina, Inteligencia Artificial

¡La IA acaba de volverse 10x más rápida y 20x más barata! Descubre cómo Taalas desafía el dominio de las GPU con su nuevo chip "hard-wired" para Llama 3.1. Adiós a la latencia y a los costos astronómicos. 💻⚡
youtu.be/-qVQtjF7j-Q
#IA #Taalas #Llama3 #TechNews #Innovacion #AI

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17,000 Tokens/Second: Is Taalas’ Hardwired Silicon the Ultimate Solution to the AI Memory Wall and HBM Shortage? Can Taalas’ 17,000 tokens/sec HC1 chip solve the AI Memory Wall? Discover why hardwired silicon is disrupting the HBM market and how it impacts GPU resale value.

Taalas just emerged from stealth with a claim that’s shaking the hardware world: 17,000 tokens per second on Llama 3.1 8B.
www.buysellram.com/blog/17000-t...

#AI #ArtificialIntelligence #AIHardware #DataCenter #MemoryWall #HBMShortage #InferenceFactory #HardcoreAI #ASIC #Taalas #NVIDIA #technology

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Taalas が AI 専用ハードウェア搭載チップ HC1 を発表:17,000 トークン/秒の高速処理と 90% の省電力を実現

Taalas が AI 専用ハードウェア搭載チップ HC1 を発表:17,000 トークン/秒の高速処理と 90% の省電力を実現

NVIDIA H200の73倍高速、消費電力は1/10。AI推論の常識を覆す「モデル直付け」チップHC1が登場。究極の効率化と引き換えに失うものとは?詳細は記事で。
biggo.jp/news/202602230621_Taalas...

#TaalasHC1 #Taalas

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[JP] LLMをチップに『直接印刷』!?秒間1.7万トークンを叩き出すTaalasの物理最強ASICがヤバすぎる
[EN] Directly

ai-minor.com/blog/en/2026-02-22-17717...

#Taalas #Llama3 #ASIC #半導体 #AI #Tech

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Applied for #TAALAS API access for a little thing I've been working on using cerebras. Hope they accept 🤞

#llama #AI

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#Taalas is the first on Chip "Native #AI silicon, and the results are staggering. Think instant generation of full reports, applications, software, research, market research 17x faster minimum.
#AIHardware #Google #Nvidia #GroQ
Taalas.com

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NVIDIA Killer Is Here (17000 Tokens Per Second)!
NVIDIA Killer Is Here (17000 Tokens Per Second)! YouTube video by Mehul Mohan

OMG Nvidia has got to try to buy out another chip competitor, #Taalas. It's magnitudes faster than #GroQ, whom they just bought @$20 Bln. Competition is unAmerican, absolute market dominance is the USA way.
#Taalas is 17,000 tokens/sec. #Nvidia & #Google are ~1,000.

youtu.be/MEej_Dc1WsA?...

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✨ Taalas HC1 raggiunge 17.000 token al secondo
Pesi nel silicio invece che nella RAM: la strategia di Taalas con HC1 per eliminare HBM, latenza e raffreddamento a liquido dall'inferenza AI.

gomoot.com/taalas-hc1-r...

#ai #hc1 #news #taalas #tech

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Taalas が AI モデルをハードウェア化する HC1 チップを発表、速度 10 倍・コスト 20 分の 1 を実現

Taalas が AI モデルをハードウェア化する HC1 チップを発表、速度 10 倍・コスト 20 分の 1 を実現

AI推論の常識を覆す「ハードワイヤリング」技術。特定のLLMをシリコンに直結し、GPU比で速度10倍・コスト1/20を実現したTaalas HC1チップの詳細はこちら。
biggo.jp/news/202602210322_Taalas...

#TaalasHC1 #Taalas

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Siliconizing AI Models Directly! Taalas Unveils Lightning-Fast Llama Chip with 17,000 Tokens Per Second Siliconizing AI Models Directly! Taalas Unveils Lightning-Fast Llama Chip with 17,000 Tokens Per Second

[JP] AIモデルを直接シリコン化!Taalasが毎秒1.7万トークンの爆速Llamaチップを発表
[EN] Siliconizing AI Models Directly! Taalas Unveils Lightning-Fast Llama Chip with 17,000 Tokens Per Second

ai-minor.com/blog/en/2026-02-21-17716...

#Llama #半導体 #Taalas #AIハードウェア #Tech

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Original post on wccftech.com

This New AI Chipmaker, Taalas, Hard-Wires AI Models Into Silicon to Make Them Faster and Cheaper; Early Results Crush Modern Solutions Well, it appears that the chip startup Taalas has found a solu...

#Featured #News #AMD #AI #chip #Groq #NVIDIA #AI #Taalas […]

[Original post on wccftech.com]

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