Is it confirmed that they used more GPU hours? Sure, they have that 200k GPUs cluster, but did they use all that for the final model run or is it more to facilitate multiple parallel experiments?
AI HARDWARE
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AI chips revolutionize farming efficiency, reduce weeding time dramatically
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⚠️ Farmers face worsening labor shortages. UAI's Sr. Product Manager Ranjani Ramasubramanian explains in @farmdaily's #FarmFutures series how new AI chips are redefining efficiency: slashing weeding time from 2.6 wks to 4 days (450 acres)—at 90% less power.farmprogress.com/technology/…
→ View original post on X — @untetherai, 2025-02-21 19:16 UTC
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Topological Qubits: Quantum Computing Breakthrough Explained
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Perfect use case for Think Deeper: what's a topological qubit? https://t.co/4z6Lur3H7c pic.twitter.com/MkwSGI7sAe
— Mustafa Suleyman (@mustafasuleyman) 21 février 2025Perfect use case for Think Deeper: what's a topological qubit? https://
aka.ms/AAu76rr -
SambaNova Achieves 198 Tokens Per Second With Custom AI Chips
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Take it from @techradar SambaNova runs @deepseek_ai R1 at 198 tokens/sec using 16 custom chips! Our SN40L RDU chip is 3X faster & 5X more efficient than GPUs 5X speed boost coming soon, with 100X capacity on cloud. https://
bit.ly/3Xatj6k -
DeepSeek-R1 Achieves 95% Chip Reduction Industry-First Performance
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@techradar reported that SambaNova’s @deepseek_ai
-R1 achieved industry-first #AI performance with 95% fewer chips. @RodrigoLiang told @Waynewill1
: “We’re collapsing inference costs and slashing hardware demands—from 40 racks to just one.” #GPU #DeepSeek -
Data Centers Embracing AI To Power Artificial Intelligence
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How Data Centers Are Embracing AI To Power AI
#AI #AIio #BigData #ML #NLU #Futureofwork @HaroldSinnott @fogoros @iainljbrown @NandoDF @katecrawford @drhassanrashidi @YuHelenYu http://
ow.ly/kh4830sK3n6 -
Microsoft’s topological qubit arrives seven years late
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Microsoft’s ‘topological qubit’ is seven years late and a million bits short Microsoft told me they would have a “topological qubit” in 2018. It’s only just arrived this week — maybe. There’s skepticism among scientists as to whether Microsoft’s paper in Nature actually proves
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Metis AI Platform Showcases Edge AI Security and Industrial Automation
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Join us at @ISCEvents April 2-4 at Venetian Expo, Las Vegas (Booth No.32087) to see how the Metis AI Platform powers AI for security, industrial automation, & retail. More info https://
discoverisc.com/west/en-us.htm
l#/
… #EdgeAI #AIAcceleration #SecurityTech #ISCWest -
Grok’s H100 GPU Training: Missing Transparency on Key Metrics
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The number of H100 GPUs used for training helps estimate parameters, data size, and training duration, so it’s an important detail. But Grok’s team hasn’t been clear about key factors like benchmark performance and the exact number of GPUs used for training, which leads to
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Grok-3 Training Hardware: 100k vs 200k H100s Clarification
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I want to clarify this. Was Grok-3 trained on 200k H100s, or is it being served using them? I remember hearing in the live Q&A that it was trained on 100k H100s.