More robots. This one from Amazon. 6 feet, and lifts boxes.
— Linus ✦ Ekenstam (@LinusEkenstam) 22 octobre 2023
pic.twitter.com/X1H13eXfc4
More robots. This one from Amazon. 6 feet, and lifts boxes.

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More robots. This one from Amazon. 6 feet, and lifts boxes.
— Linus ✦ Ekenstam (@LinusEkenstam) 22 octobre 2023
pic.twitter.com/X1H13eXfc4
More robots. This one from Amazon. 6 feet, and lifts boxes.

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Calling all researchers! The @argonne_lcf AI Testbed is now accepting proposals for AI projects that can leverage the power of the new Groq system. Don't miss out on this opportunity to accelerate your research. Submit your project proposals to @argonne at http://
alcf.anl.gov/alcf-ai-testbed
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"If speed was a superpower, Groq’s would be wearing a cape!" Check out Tim's talk here: https://
aixplain.com/blog/generativ
e-ai-workshop-recap/
…

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"
@csTimSears dazzled us with a deep dive into @GroqInc
's cutting-edge SW/HW ecosystem. He showcased the lowest latency version of LLM inference hardware, which boasted a speed 10X faster than NVidia. The room was abuzz with questions and excitement, and rightly so."
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USA: Government Unveils New Restrictions Imposed on Chip Manufacturers https://actuia.com/actualite/usa-le-gouvernement-devoile-les-nouvelles-restrictions-imposees-aux-fabricants-de-puces/
… #AI #ArtificialIntelligence
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I might be missing something – afaict they're 5x more expensive than lambda labs for H100 for instance

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In collaboration with @nvidia
, @Oracle announced that NVIDIA AI Enterprise and #NVIDIADGX Cloud is now available through the Oracle Cloud Marketplace. #AI #DataCenter Read the announcement now: https://
nvda.ws/3tHj1Pq

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This is not science fiction This is @Figure_robot 01 The humanoid robot revolution is about to kick into overdrive

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Stop by our table today at #STACSummit NY to find out how to unlock #FinServ #AI with best in class speed and throughput.
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Serving multiple #finetuned models typically requires dedicated, costly GPUs for each deployment—until now. Introducing LoRA Exchange (LoRAX): dynamically serve 100s of fine-tuned #LLMs on a single GPU w/out sacrificing throughput at a much lower cost.