Efficiency isn’t just about better tools anymore—it’s about autonomous teammates. Get ready for a CLAW-some NVIDIA GTC: If you’re joining us at #NVIDIAGTC, stop by our Build-a-Claw experience in GTC Park and be sure to check out the dozens of sessions, Connect with Experts,
HARDWARE
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Robot Companies Overcome 5 Commercialization Barriers
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How robot companies can overcome 5 barriers to commercialization, by Jeff Mahler, savvy and experienced CTO of @AmbiRobotics: forbes.com/councils/forbeste…
→ View original post on X — @ken_goldberg, 2026-03-13 22:53 UTC
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Accelerated Computing’s Moment: Enterprise Simulation and Analytics
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Chapter 1: Accelerated Computing’s Moment Has Arrived Industry leaders discuss how simulation, digital twins, and large-scale analytics are expanding what’s possible for the enterprise. Featuring:
Anirudh Devgan, @Cadence Mark Edelstone, @MorganStanley Aki Jain, -
Open Source Inference Still Immature: Hardware and Optimization Needed
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Not saying not to use it, but expect inaccuracies Doing this right requires actual hardware + knowing which piece of the inference stack to optimize for the different hardware & goal We are still in the infancy stage of opensource inference, one day it will just work OOTB
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SambaNova Partners with Intel for Agentic AI Scale and $350M Raise
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"This partnership with Intel allows us to achieve scale, allows us to actually serve these large customers with capacity." – @RodrigoLiang on our partnership with @intel
— SambaNova (@SambaNovaAI) 13 mars 2026
🎥 @BloombergTV w/ @mattmiller1973 & Dani Burger
Read more 👇https://t.co/cGIMTxyufN pic.twitter.com/4m4rYw8gdB"This partnership with Intel allows us to achieve scale, allows us to actually serve these large customers with capacity." – @RodrigoLiang on our partnership with @intel @BloombergTV w/ @mattmiller1973 & Dani Burger Read more https://
sambanova.ai/press/sambanov
a-unveils-fastest-chip-for-agentic-ai-collaborates-with-intel-and-raises-350m?utm_source=x&utm_medium=organic
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AI Economy Requires Talent Across Five Critical Infrastructure Layers
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The AI economy is not just software. It is energy. Chips. Infrastructure. Models. Applications.
— NVIDIA (@nvidia) 13 mars 2026
And every layer needs people to build it.
At NVIDIA’s Five-Layer AI event, co-founder Chris Malachowsky, former secretary of commerce Gina Raimondo and Mike Rowe discussed why the… pic.twitter.com/l9mObQqPUtThe AI economy is not just software. It is energy. Chips. Infrastructure. Models. Applications. And every layer needs people to build it. At NVIDIA’s Five-Layer AI event, co-founder Chris Malachowsky, former secretary of commerce Gina Raimondo and Mike Rowe discussed why the
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Why Humanoid Robots Struggle With Simple Tasks
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this is a *really* good, very accessible piece by @johnpavlus for @QuantaMagazine about why it's so incredibly hard to make humanoid robots work well and generalize tasks. Why Do Humanoid Robots Still Struggle With the Small Stuff? quantamagazine.org/why-do-hu… via @QuantaMagazine
→ View original post on X — @rachelmetz, 2026-03-13 19:13 UTC
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NVIDIA Nemotron 3 Super Now Available in Perplexity Platform
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NVIDIA’s Nemotron 3 Super is now available in Perplexity, Agent API, and Computer.
→ View original post on X — @perplexity_ai, 2026-03-13 18:15 UTC
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Industrial Intelligence Reshapes Global Power Balance
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The defining shift of our era is Industrial Intelligence.
— Nina Schick (@NinaDSchick) 13 mars 2026
AI is turning intelligence into a strategic utility powered by energy, compute, chips, and infrastructure. The societies that build this new industrial base will shape the balance of power in the 21st century. pic.twitter.com/ErguoC90EOThe defining shift of our era is Industrial Intelligence. AI is turning intelligence into a strategic utility powered by energy, compute, chips, and infrastructure. The societies that build this new industrial base will shape the balance of power in the 21st century.
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TPUs vs Groq LPU: Training-Inference Trade-offs in Hardware Design
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I agree with you. But I think TPUs are still trying to do a training-inference trade-off. I think Groq LPU would be an example that is purely designed for inference.