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→ View original post on X — @tenstorrent, 2026-03-13 15:22 UTC
HARDWARE
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TT-QuietBox 2: Local AI Computing for Desktop Workloads
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Meet the TT-QuietBox 2, whisper-quiet AI built for real workloads at your desk. Run up to 120B parameter models locally, accelerate smaller models across multiple chips, or run inference workloads without cloud dependency. Plug-in, boot up, and start developing immediately.
→ View original post on X — @tenstorrent, 2026-03-13 15:21 UTC
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Trade-offs between training throughput and inference efficiency in chips
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I think it's about trade-offs. As with so many things, there's no free lunch. Ie I don't think you can have a chip that is sota for training throughput but also sota in terms of inference efficiency at the same time
That being said, there are companies focused on inference chips -
Chinese robot dancers lack situational awareness safety concerns
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Have you seen those viral Chinese robot dance shows? Completely insane hardware, genuinely impressive. But if you'd stand in front of that robot? It would kick you in the face. Zero awareness of anything around itself. It’s simply running a policy/script.
— Andreas Klinger 🦾 (@andreasklinger) 13 mars 2026
The weird reality of… pic.twitter.com/aMWZc7UvE1Have you seen those viral Chinese robot dance shows? Completely insane hardware, genuinely impressive. But if you'd stand in front of that robot? It would kick you in the face. Zero awareness of anything around itself. It’s simply running a policy/script. The weird reality of
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AWS and Cerebras Partner for Order of Magnitude Faster Inference
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We're teaming up with @cerebras to build the fastest possible inference. Coming soon to Amazon Bedrock, we’re delivering inference performance an order of magnitude faster than what’s available today by connecting AWS Trainium3 for compute-intensive prefill with Cerebras CS-3 to power decode. Learn more about the partnership. go.aws/3Pzcota
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New tool llmfit matches local AI models to hardware capabilities
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🚨 The #1 problem with local AI is now solved.
— Charly Wargnier (@DataChaz) 13 mars 2026
There’s a new tool called `llmfit` that checks your hardware and tells you exactly which models will run well before you download anything.
It literally grades your hardware’s capability for every model:
🟩 Perfect Fit: Fully runs… pic.twitter.com/WHjAyB3vb2The #1 problem with local AI is now solved. There’s a new tool called `llmfit` that checks your hardware and tells you exactly which models will run well before you download anything. It literally grades your hardware’s capability for every model: Perfect Fit: Fully runs
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Humanoid Robots: Collaboration or Workforce Replacement?
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Are Humanoid Robots Ready To Work With Humans Or Replace Them? https://
share.google/BhBTMKw91UkEyx
O8G
… #humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence #PhysicalAI -
China Unveils Modular Humanoid Robot for Industrial Applications
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China's new 'blue-collar' humanoid switches modular tools in seconds https://
interestingengineering.com/ai-robotics/xg
synbot-unveils-wheeled-industrail-humanoid-robot
… #bluecollar #humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence #PhysicalAI -
SN50 Dataflow Architecture Maps AI Models Directly on Processor
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The SN50’s Dataflow Architecture approach. Instead of repeatedly calling external memory, our Reconfigurable Dataflow Units (RDUs) map the entire AI model graph directly onto the processor. This minimizes data movement to memory, the most expensive and power-hungry part of
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Open-Weight Local AI Like Solar Panels vs Centralized Services
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He's making a great case for people using open-weight models on their own local devices. If OpenAI is the new electric company, having on-prem AI machines is like having your own solar panels. https://t.co/tuiPeG0QX7
— Matt Wolfe (@mreflow) 12 mars 2026He's making a great case for people using open-weight models on their own local devices. If OpenAI is the new electric company, having on-prem AI machines is like having your own solar panels.