The biggest bottleneck will be energy- very soon. Gartner's 2026 forecast puts global data center electricity at 565 TWh, up 26% from last year. AI servers already account for 31% of that and pass conventional servers in 2027. What's worth noting is the constraint Gartner
AI HARDWARE
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SambaNova: two to three times better results than Nvidia Blackwell GPUs
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"We are getting two to three times better results than the [Nvidia] Blackwell [GPUs] on exactly the same models, and so we think that, at scale, this is the path to at least reduce costs." – @RodrigoLiang One of the most interesting parts of
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Physical AI: sensor data et vision dans les robots
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Physical AI fuses real-time sensor data, computer vision, and machine learning algorithms directly into robotic platforms, giving machines the ability to perceive and respond to their surroundings rather than following pre-programmed paths. #IIoT #PhysicalAI #ComputerVision pic.twitter.com/N6564oqstB
— Lucian Fogoros (@fogoros) 10 juin 2026Physical AI fuses real-time sensor data, computer vision, and machine learning algorithms directly into robotic platforms, giving machines the ability to perceive and respond to their surroundings rather than following pre-programmed paths. #IIoT #PhysicalAI #ComputerVision
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Meta’s 168 MW AI Data Centre at Reliance Jamnagar
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The AI race is moving from software to physical infrastructure—and India is stepping up. #Meta's new 168 MW AI data centre at #Reliance’s Jamnagar campus marks a major shift. The future of AI will be built on power, cooling, and hyperscale capacity. #IndiaAI #DigitalIndia
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Key pillars for choosing local AI hardware
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compute, bandwidth, capacity, latency, interconnect, compiler support, and software maturity those are the pillars on which you decide what hardware to buy for Local AI
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GPUs vs DGX Sparks: Bandwidth, Power, and Heat Comparison
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GPUs > DGX Sparks for Bandwidth DGX Spark > GPUs for Power & Heat Read http://
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Future demand for TPUs to train specialized models
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Don't worry we're gonna need all the TPUs we could get our hands on for training those specialized models
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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://
nvda.ws/43KdoyN