Great first day at @EmbVisionSummit
! Swing by booth #604 to see our Metis #AI platform! https://
embeddedvisionsummit.com
AI HARDWARE
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Metis AI Platform Debuts at Embedded Vision Summit
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SambaNova Enables Complex Multi-Physics AI Simulations
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"Multi-physics simulation is complex… The @SambaNova system helps us (
@Livermore_Lab
) create these cognitive simulations.” Coverage via @TheRegister https://
theregister.com/2023/05/23/lln
l_sambanova_ai_systems/
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#hpc #ISC23 #ISChpc -

Mizuho recommande Micron: China manque d’alternatives semiconducteurs
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Micron Technology: Buy it, says Mizuho, China has very few options Samsung and Hynix are not China’s solution. https://
thetechnologyletter.com/the-posts/micr
on-technology-buy-it-says-mizuho-china-has-very-few-options
… $MU #investing #China #cybersecurity #DramaAlert -

NVIDIA Microsoft Partnership Brings Accelerated AI Computing to Azure
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Announced at #MSBuild, we are partnering with @MSDev to bring accelerated computing to developers and enterprises for building generative AI and industrial digitalization solutions. Learn more: https://
nvda.ws/3MT7CmC #NVIDIAonAzure -
Dronut X1 Drone: Advanced Technology for Rescue Operations
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El Dronut X1 es una muestra del increíble avance en la tecnología de drones. Este dispositivo es capaz de colarse en sitios inaccesibles con una soltura impresionante.
— Juan Merodio (@juanmerodio) 23 mai 2023
La gran agilidad de estos drones los convierte en un gran aliado para cualquier equipo de rescate. 😍🏥🫶🏼 pic.twitter.com/9kq9UBX73fEl Dronut X1 es una muestra del increíble avance en la tecnología de drones. Este dispositivo es capaz de colarse en sitios inaccesibles con una soltura impresionante. La gran agilidad de estos drones los convierte en un gran aliado para cualquier equipo de rescate.
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Cerebras Wafer-Scale Architecture Featured in IEEE Micro
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IEEE released the latest Micro magazine, delving into the Hot Chips 34 conference. One of the standout features of this edition is an article authored by Cerebras' Chief Hardware Architect, Sean Lie. Read about our unique wafer-scale architecture here: https://
hubs.li/Q01QWDSQ0 -
UntetherAI Launches imAIgine SDK for ML Model Optimization
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Watch #NOW as @lewer from @UntetherAI introduces the imAIgine® #SDK on our YouTube channel! The imAIgine® #SDK allows users to optimize their trained #ML models to run on our tsunAImi® cards and runAI® family of #energycentric #AI acceleration devices. https://
bit.ly/41ojZeD -
Apple PyTorch Support Threatens Nvidia AI Hardware Dominance
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Nvidia has developed a stranglehold on AI development thanks to PyTorch's reliance on Cuda. Apple hardware getting full-fledged support for PyTorch could drastically upend that for an entire subset of AI development focused on smaller, more lightweight models.
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Running Meta LLaMA Models on MacBook Pro CPU
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Right now you can actually run these models on your MacBook Pro, but it runs on the CPU. And Apple's general support of PyTorch has been dubious at best. But its hardware is VERY good, with more than enough power to run Meta's smaller LLaMA models without even using a GPU.
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MacBook Pro to Nvidia: AI shifts developer hardware landscape
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MacBook Pros have long been a standard for developers since it embedded itself into workflows with the launch of the iPhone 4. That largely shifted to rigs and cloud development supported by Nvidia hardware with the advent of AI models.