Don't worry we're gonna need all the TPUs we could get our hands on for training those specialized models
HARDWARE
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Smart AI Voice Recorder Converts Speech to Multilingual Summaries
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Smart #AI Voice Recorder Converts Speech Into Instant Multilingual Summaries
— Ronald van Loon (@Ronald_vanLoon) 10 juin 2026
by @ViralRushX#ArtificialIntelligence #Innovation #Tech #FutureTech pic.twitter.com/P5v9vpQmP4Smart #AI Voice Recorder Converts Speech Into Instant Multilingual Summaries
by @ViralRushX #ArtificialIntelligence #Innovation #Tech #FutureTech -
AI Inference: RDUs, Memory, Parallelism for Token Generation
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What actually happens during AI inference?
— SambaNova (@SambaNovaAI) 9 juin 2026
This video breaks down how RDUs, memory architecture, and multi-level parallelism work together to generate thousands of tokens in parallel across racks.
Built for scalable, real-world AI inference 🦾
Learn more:… pic.twitter.com/YUzEP9hBsrWhat actually happens during AI inference? This video breaks down how RDUs, memory architecture, and multi-level parallelism work together to generate thousands of tokens in parallel across racks. Built for scalable, real-world AI inference Learn more:
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NVIDIA and Deepgram AI Launch On-Prem Voice AI with Enhanced Privacy
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Voice AI calls just got a privacy upgrade. @DeepgramAI now runs fully on-prem with encrypted audio and model weights, powered by @fortanix Confidential AI and NVIDIA Confidential Computing. Read the press release: https://
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Convert a GX10 into a remote AI mini-server for API access
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Update : je suis en train de convertir ce GX10 en mini-serveur IA distant pour pouvoir y accéder de partout, en mode API self-hosted / VPS / service managé.
— Defend Intelligence (Anis Ayari) (@DFintelligence) 9 juin 2026
Jai jamais fait ça, donc si certains ont des conseils, je suis preneur ?
Le but, ce serait de pouvoir faire tourner des… https://t.co/o7YRR72WHUUpdate: I am converting this GX10 into a remote AI mini-server to access it from anywhere, in self-hosted API / VPS / managed service mode. I have never done this, so if anyone has advice, I'm interested? The goal would be to run
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Apple’s Core AI runs models entirely on-device
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Apple finally did it. Its new framework, Core AI, runs models entirely on Apple silicon, so inference happens on the user's device with zero server calls and zero token bills. That means Qwen, Mistral, and SAM3 running natively across iPhone, iPad, Mac, and Vision Pro. It's a
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SpaceX launches AI1: AI computing and solar energy in space
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SpaceX has just launched AI1, a satellite designed to relocate AI computing to space and capture energy where it is nearly infinite: the Sun. We are witnessing, before our eyes, the transition from a Type 0 civilization to a Type 1 civilization on the
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SambaNova shows disaggregated inference with up to 2x speed at Computex
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Same prompt. Same model. Two stacks.
— SambaNova (@SambaNovaAI) 9 juin 2026
At #Computex, we demonstrated disaggregated inference live: GPUs handling prefill, SambaNova RDUs handling decode, and CPUs orchestrating agent execution.
The result? Up to 2X the speed of B200-only configurations 🦾 pic.twitter.com/YYP8o6WYrKSame prompt. Same model. Two stacks. At #Computex, we demonstrated disaggregated inference live: GPUs handling prefill, SambaNova RDUs handling decode, and CPUs orchestrating agent execution. The result? Up to 2X the speed of B200-only configurations
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Power shifts to infrastructure in compute-constrained world
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Follow the signal: we are in a compute-constrained world.
— Nina Schick (@NinaDSchick) 9 juin 2026
And that means power doesn’t sit with the models. It sits with the infrastructure.
Most frontier labs don’t own the means of producing Intelligence. They rent it.
A handful of companies provide compute that everyone… pic.twitter.com/iHIEK7ISBYFollow the signal: we are in a compute-constrained world. And that means power doesn’t sit with the models. It sits with the infrastructure. Most frontier labs don’t own the means of producing Intelligence. They rent it. A handful of companies provide compute that everyone
