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#generativeAI models have grown 10x in parameters per year for the last five years 🤯 That's why we're announcing Cloud TPU v5p (in preview)—the most powerful, scalable, and flexible TPU to date. P.S. Gemini was trained at scale on Cloud TPUs, too! #GeminiAI

Google Cloud Tech

1,308,137 subscribers

142,604 görüntüleme • 2 yıl önce •via X (Twitter)

Eğitim Haberler & Politika Bilim & Teknoloji #generativeAI #GeminiAI

Anya Rossi• Live Now

Private livecam show

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Google Cloud Tech profil fotoğrafı

Google Cloud Tech2 yıl önce

And because a chip is only as powerful as the full stack that surrounds it, we're also introducing AI Hypercomputer! Read about this accelerated supercomputer architecture featuring performance-optimized compute, storage, and networking →

leshalem profil fotoğrafı

leshalem2 yıl önce

@googlecloud Google builds good products, but they end up destroying it with too much protocols. How can login in to Gemini take several protocols asking lots of things from users. Very boring user journey. Google always want to dictate users by imposing agreements and policies.

Thao Nguyen🇻🇳 profil fotoğrafı

Thao Nguyen🇻🇳2 yıl önce

well, TPU v5p (in preview)—the most powerful, scalable, and flexible TPU to date.

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_lex2 yıl önce

@Google Did you guys fake the demo? Rumor has it, you spoon fed the questions and pre planned the whole skit.. Is this true. When will you respond to faking the demo?

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Cloud conversations at #GoogleCloudNext: Join Debi Cabrera for a discussion with Googlers Harish Jayakumar and @mrseanrhee on the intricacies of building scalable, high-performance #generativeAI applications utilizing Google databases and cloud runtimes ↓

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Sundar: “Massive interest in our GPU offerings, as well as TPUs” Anat (CFO): “TPU agreements reflected in our $462B backlog” I wrote last week: Google isn’t trying to beat NVIDIA GCP is the neutral venue where TPU and NVIDIA both monetize agents

Sundar: “Massive interest in our GPU offerings, as well as TPUs” Anat (CFO): “TPU agreements reflected in our $462B backlog” I wrote last week: Google isn’t trying to beat NVIDIA GCP is the neutral venue where TPU and NVIDIA both monetize agents

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Hi from one of our TPU labs. Learn how we're powering the age of inference with Ironwood TPUs →

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Feb 2023: Google invests $300M in Anthropic Oct 2023: Google adds $2B Mar 2025: Google adds $1B Oct 2025: Anthropic deal for ~1M Google TPUs Apr 2026: Multi-GW TPU deal, Google invests an additional $40B May 2026: Anthropic commits ~$200B to Google Cloud

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Big news from @NVIDIA's Jensen Huang on the biggest stage in cloud about our super partnership: Announcing Google Distributed Cloud with Gemini and NVIDIA will bring state-of-the-art AI to the world's regulated industries and countries. #GoogleCloudNext

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Biggest scale i could squeeze on the Prusa3D XL! Fake feather in PETG and foam TPU. Free STL on my website

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14,675 görüntüleme • 1 yıl önce

A masterclass on Google's TPU v8 Networking. Two TPU chips? Pssh. We already knew workload-specific silicon was here. But two scale-up networking topologies? That's the actual Google TPU news. Workload-specific interconnects. Think about that. New Semi Doped with Vikram Sekar and Austin Lyons. Copper? Yep. Optics? Yep. What we cover: - TPU splits in two: 8t training, 8i inference. - Virgo: 47 Pb/s scale-out fabric, 100% OCS. - Boardfly scale-up: copper PCB + AECs inside racks, OCS between groups. 16 hops → 7. - Training uses 3D torus (Rubik's Cube). - Inference doesn't. Workload-specific topologies now. - Dragonfly traces to a 2008 paper by Kim, Dally, Scott, Abts. Abts went on to build Groq's interconnect before Nvidia. Chapters: 0:00 Intro 0:21 Two TPUs for two workloads 2:31 HBM, SRAM, and Axion CPUs 7:22 Why networking is the new bottleneck 17:14 Virgo: rebuilding scale-out on optics 25:24 3D torus Rubik's Cube scale-up for training 34:50 Boardfly: scale-up for MoE inference 42:07 Workload-specific everything $GOOGL

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Meet Ironwood, our most powerful, capable and energy-efficient TPU yet. #GoogleCloudNext

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7/ NVIDIA and Hugging Face offer DGX Cloud Lepton for instant global GPU access. Train, fine-tune, and deploy models at scale with ease. Fast, flexible, and collaborative.

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My second attempt at a multimaterial feather on the Prusa XL. It was printed in 22minutes with PETG core and foam TPU

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🇦🇪 Incredible time-lapse of the storm that flooded Dubai ‼️ Looks remarkably like the Cloud coverage we have seen in the UK for the last couple of years most days…..

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For over a decade, Intel and Microsoft Azure have partnered to build trust in the cloud. At Microsoft Build 2026, we spoke with Azure CTO Mark Russinovich on how Azure and Intel TDX work together to support confidential cloud workloads at scale with near-zero performance overhead and minimal effort. Watch the full interview:

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Got some footage of the TPU feet paws! Medium and large sizes are for sale in my store (link in bio). These are a hollow squishy shell that's meant to take the place of foam. Use them however you like, there's no "correct" way to build with them. :D #tpu #fursuit #furry

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Got some footage of the TPU feet paws! Medium and large sizes are for sale in my store (link in bio). These are a hollow squishy shell that's meant to take the place of foam. Use them however you like, there's no "correct" way to build with them. :D #tpu #fursuit #furry

🐼 Stuffed Panda Studios 🐱 FWA Vendor!

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