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An exoskeleton-type #Robot that enables users to move safely and intuitively at home or in their community
— Ronald van Loon (@Ronald_vanLoon) 2 mai 2026
via @ZappyZappy7
#Robotics #RPA #ArtificialIntelligence #Innovation #Technology pic.twitter.com/VYdLtQB5xT
An exoskeleton-type #Robot that enables users to move safely and intuitively at home or in their community
via @ZappyZappy7 #Robotics #RPA #ArtificialIntelligence #Innovation #Technology
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With Spend Visibility, Prudential Financial is Ready for AI
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn
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We are officially one month away from #NVIDIAGTC Taipei at COMPUTEX.
— NVIDIA (@nvidia) 1 mai 2026
Join us as we return to Taiwan to unveil the next era of AI redefining the world.
See you in Taipei. pic.twitter.com/ap91p5cM0s
We are officially one month away from #NVIDIAGTC Taipei at COMPUTEX. Join us as we return to Taiwan to unveil the next era of AI redefining the world. See you in Taipei.
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Tenstorrent Galaxy Blackhole superclusters are deployed at scale with customers @aiand_ , @Cirrascale
, @VirtuFinancial
, and Turiyam across a broad range of use cases from neoclouds to financial to sovereign AI.
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Tenstorrent is the compute layer for Equinix's Distributed AI Hub enabling a full end-to-end agentic AI stack for enterprises. @Equinix @orionvm
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In theory, GPUs serve at 300 tsu. In practice, no one is serving at those speeds because of poor economics. Tenstorrent serves at 350+ tsu while keeping costs flat. @JasminaVas
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AI is constantly changing. Tenstorrent is built for the future from first principles focused on scale, general purpose, and lower cost compute. Big or small, it runs on Blackhole. @jimkxa
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AI isn’t just generating answers anymore. It’s running workflows.
— SambaNova (@SambaNovaAI) 1 mai 2026
That shift changes everything about infrastructure. CPUs, GPUs, and RDUs each play a role, working together to keep agents moving.
This is what modern inference looks like 🦾 pic.twitter.com/GkSjTvOFi3
AI isn’t just generating answers anymore. It’s running workflows. That shift changes everything about infrastructure. CPUs, GPUs, and RDUs each play a role, working together to keep agents moving. This is what modern inference looks like
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Just some numbers so you don’t get misled RTX 3090 (7 years old)
> 24GB VRAM
> Bandwidth: 936.2 GB/s
> Bi-directional NVLink 112GB/s RTX PRO 4000
> 24GB VRAM
> Bandwidth: 672 GB/s > No Bi-directional NVLink,
> need 32 Gen. 5 PCIe Lanes to pool 2 at 64GB/s x.com/LLMJunky/statu…
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re: Anthropic, Dario, OpenAI, etc Don’t let them control your Intelligence Utilization It is a MUST that you learn how to run your LLMs locally on your own hardware 2x RTX 3090s and Qwen 3.6 27B is all you need to get started