We announced our new networking X800 series switches. Featuring NVIDIA Quantum-X800 and Spectrum-X800, the switches are designed for massive-scale AI and optimized for trillion-parameter-scale #GenerativeAI and GPU computing. #GTC24 @NVIDIANetworkng
BIG TECH
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Broadcom VMware overhaul forces partners to renegotiate contracts
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Partners and resellers of VMware software say they have a matter of days to sign new contracts, and will be forced to either eat or pass on higher costs to customers https://
wsj.com/articles/europ
ean-cloud-group-calls-for-regulatory-scrutiny-over-broadcoms-vmware-overhaul-28b7c6ed?st=bf3sxbesqsj6hux
… @IsabelleBiscuit -
Open Source AI startups challenge big tech giants with potential risks
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Mistral AI, Hugging Face and others are betting they can stand up to OpenAI and big tech firms by making their technology open source—but it could lead to more risk than reward, @bellelin_ reports.
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AI Ideas Exchange with NVIDIA Chief Scientist at GTC2024
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It was so much fun to exchanges ideas of AI with my long term friend and colleague Bill Dally, Chief Scientist of @nvidia #GTC2024
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Gemini 1.5 Pro Outperforms Gemini 1.0 Ultra with Massive Context
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Gemini 1.5 Pro is a very good model, by the way. Appears to beat Gemini 1.0 Ultra which was itself GPT-4 class on the stats. Also impressive that Google can more widely release massive context windows. Google seems to be moving quickly.
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Google Gemini 1.5 Now Available in AI Studio
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Link: https://
aistudio.google.com Select Gemini 1.5 -
Market Share Dynamics in AI Industry Debate
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It does not work that way. Market share is a thing. Cute thought tho.
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Intel Manufacturing vs NVIDIA Design: Hardware Strategy Comparison
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Unlike NVIDIA, Intel is actually building hardware in their own foundries. NVIDIA is designing hardware, which is itself a software problem. NVIDIA also researches and implements much of everything that other AI companies are working on, they just start one level lower
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Jensen and Satya Shape AI’s Next Decade
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Jensen is up there with Satya, for sure. We'll see how the next 10 years of AI pan out