It’s interesting to observe how limited compute capacity impacts consumer behavior. I believe that in the future we will have more and more such cases as soon as models will advance further. Think of it as a weekly budget that you can decide how to distribute. At the current
COMPUTING
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Metis Platform Accelerates AI Adoption with Enhanced Performance
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Wrapping up a successful week at @aiandsystems Summit!
— Axelera AI (@AxeleraAI) 13 septembre 2024
We thank our customers, partners, and everyone who joined us. We appreciate your interest in our Metis Platform, which offers accelerated AI adoption through enhanced performance with reduced cost and power consumption. pic.twitter.com/9kbyyA16rjWrapping up a successful week at @aiandsystems Summit! We thank our customers, partners, and everyone who joined us. We appreciate your interest in our Metis Platform, which offers accelerated AI adoption through enhanced performance with reduced cost and power consumption.
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AI-Driven Threat Detection in VMware vDefend Enhances Security
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The integration of AI-driven threat detection within VMware’s vDefend highlights the growing role of artificial intelligence in automating security tasks, potentially reducing human error and increasing efficiency in complex cloud infrastructures.
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DeepPCB Pro: Reinforcement Learning for PCB Layout Design
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Nice to see this launch of a Pro version of DeepPCB, an RL-based system for laying out PCB boards, which runs on @googlecloud. Nice work, @kbeguir and team! 🎉
— Jeff Dean (@JeffDean) 13 septembre 2024
The use of RL for many kinds of hardware design and layout problems is accelerating. I remember excitedly comparing… https://t.co/yhfTJHoGBcNice to see this launch of a Pro version of DeepPCB, an RL-based system for laying out PCB boards, which runs on @googlecloud
. Nice work, @kbeguir and team! The use of RL for many kinds of hardware design and layout problems is accelerating. I remember excitedly comparing -
Microsoft Windows Agent Arena: Evaluating Multi-Modal OS Agents
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Microsoft presents Windows Agent Arena
— AK (@_akhaliq) 13 septembre 2024
Evaluating Multi-Modal OS Agents at Scale
discuss: https://t.co/SGWxR49gHN
Large language models (LLMs) show remarkable potential to act as computer agents, enhancing human productivity and software accessibility in multi-modal tasks that… pic.twitter.com/L85CqrJf5LMicrosoft presents Windows Agent Arena Evaluating Multi-Modal OS Agents at Scale discuss: https://
huggingface.co/papers/2409.08
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… Large language models (LLMs) show remarkable potential to act as computer agents, enhancing human productivity and software accessibility in multi-modal tasks that -
SambaNova Cloud Launches Fastest AI Platform for Developers
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Thank you to @MatthewBerman for the shout out! 🙌
— SambaNova (@SambaNovaAI) 12 septembre 2024
Excited to share SambaNova Cloud with the world. We've loved the reactions to our impressive speeds. #Devs can experience the fastest #AI platform in the world right now. ⤵️ https://t.co/zm6RCXY00n
🎥 Watch Matthew's… pic.twitter.com/RERjUHOTvDThank you to @MatthewBerman for the shout out! Excited to share SambaNova Cloud with the world. We've loved the reactions to our impressive speeds. #Devs can experience the fastest #AI platform in the world right now. http://
cloud.sambanova.ai Watch Matthew's -
Exceptional performance-to-cost ratio achievement recognized
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you guys did incredible work; the performance to cost ratio is so good!
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Scaling LLM Training: Double Digit Batch Size for 70B Models
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double digit batch size, eventual goal is one rack for 70B.
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SambaNova Cloud Launches Fastest AI Inference Platform Free
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The fastest API for #devs is here — for FREE. This week, we launched SambaNova Cloud, the only platform that offers #AI inference of over 570 t/s on @AIatMeta
’s Llama 3.1 70B & 100 t/s for Llama 3.1 405B. Read more https://
sambanova.ai/blog/fastest-i
nference-best-models
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Oracle Announces Zettascale OCI Supercluster for AI Training
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At #OCW24, @Oracle announced the first zettascale OCI Supercluster accelerated by the #NVIDIABlackwell platform, allowing customers to train and deploy next-generation #AI models at scale. Learn more: https://
nvda.ws/4ehTXAq