For Apple hardware you’ve got no other option. For non-Apple hardware you’d be wasting your time.
AI HARDWARE
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Human-Scale Bipedal Humanoid Robot for Real-World Tasks
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Human-Scale Bipedal Humanoid #Robot Designed for Real-World Tasks
— Ronald van Loon (@Ronald_vanLoon) 25 mars 2026
via @ZappyZappy7
#Robotics #RPA #ArtificialIntelligence #Innovation #Technology pic.twitter.com/j5P47UBkpQHuman-Scale Bipedal Humanoid #Robot Designed for Real-World Tasks
via @ZappyZappy7 #Robotics #RPA #ArtificialIntelligence #Innovation #Technology -
DGX Sparks Utilize Custom Linux for Enhanced AI Computing
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Yeah. There’s a reason DGX Sparks are delivered with a pre-installed custom Linux image for example…
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Cohere Defines the Future of Sovereign AI with Full Stack
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.@Cohere is defining the future of sovereign AI.
— NVIDIA AI (@NVIDIAAI) 25 mars 2026
Autumn Moulder, VP of Engineering at Cohere, breaks down the requirements for a full AI sovereign stack at #NVIDIAGTC:
✅ Full-Stack Sovereignty: Deploying everything from the model to applications and reasoning traces within a… pic.twitter.com/i5vb5NSIqZ@Cohere is defining the future of sovereign AI. Autumn Moulder, VP of Engineering at Cohere, breaks down the requirements for a full AI sovereign stack at #NVIDIAGTC: ✅ Full-Stack Sovereignty: Deploying everything from the model to applications and reasoning traces within a single data center. ✅ The Power of Openness: Why open models like NVIDIA Nemotron are critical for data lineage and navigating evolving regulations. [Translated from EN to English]
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Hardware Alone Isn’t Enough: Software Stack is Crucial for Adoption
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It’s wild to me that folks still don’t understand this A piece of hardware doesn’t matter if the software stack isn’t there Good luck waiting 5 years for that Intel GPU to be widely supported Even the Blackwell kernels aren’t mature yet and it’s already widely adopted lol
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Vine-Inspired Robot Gently Lifts Almost Anything
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This Vine-Inspired #Robot Can Gently Lift Almost Anything
— Ronald van Loon (@Ronald_vanLoon) 25 mars 2026
by @MIT
#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/lfKLB58nJBThis Vine-Inspired #Robot Can Gently Lift Almost Anything
by @MIT #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology -
Local Models on Diverse Hardware: Market Expectations
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Yes, people will want to run local models on more and different types of hardware. (The question is only if that was already priced into the previous stock valuations, because it was relatively obvious that that's where things are headed.)
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NVIDIA Named Most Innovative Computing Company by Fast Company
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NVIDIA is the most innovative company in computing, according to Fast Company’s 2026 list of the World’s 50 Most Innovative Companies. NVIDIA also ranked No. 2 overall. This recognition reflects the work of NVIDIANs across the company who are creating AI breakthroughs that are shaping every industry. #NVIDIAlife
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Taiwan dominates global semiconductor manufacturing for advanced chips
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The world runs on chips. And right now, those chips come from one island.
— Nina Schick (@NinaDSchick) 25 mars 2026
Over 60 percent of global semiconductors are manufactured in Taiwan. More than 90 percent of the most advanced ones are made by a single company, TSMC.
This is why war games around a potential Chinese… pic.twitter.com/mlDsI2HZ7BThe world runs on chips. And right now, those chips come from one island. Over 60 percent of global semiconductors are manufactured in Taiwan. More than 90 percent of the most advanced ones are made by a single company, TSMC. This is why war games around a potential Chinese
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Memory optimization bottlenecks and quantization trade-offs in LLMs
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I am not sure this will be true, i.e., lower memory demands.
There are some many bottlenecks and opportunities for improvement. If we have better quantization for reducing KV cache sizes via TurboQuant, that just means we will use the memory capacity elsewhere:
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