AMD shares slip: Is just as good as Nvidia good enough? At AMD’s special artificial intelligence event in San Francisco on Friday, CEO Lisa Su made the case the company’s “MI300X” chip is strong competition for Nvidia given that it can perform inference tasks just as fast as
AI HARDWARE
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NVIDIA GPUs: Revolutionizing AI with Parallel Processing Power
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What makes GPUs game-changers for AI? Discover how NVIDIA revolutionized #machinelearning with parallel processing, supercomputing and a broad software stack. https://
nvda.ws/4ab12S0 #AI #genAI -
NVIDIA AI Inferencing Webinar: Unlock Performance Potential
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Register for our upcoming webinar & learn how to unlock the true potential of NVIDIA AI inferencing for your projects. Maximize efficiency & performance on trusted cloud platforms for convenience and scalability. https://
nvda.ws/4a53yt5 #AI #Inferencing #Performance -
Groq LPU Inference Engine Demo at AI Summit NY Booth
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Don't be afraid to use your elbows to push your way into booth #230 at #AISummit NY to try our demo of the #LPU ™ Inference Engine.
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NVIDIA AI on RTX: Accelerate Creative AI Tools and Workflows
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Take your creativity further with AI & faster with #AIonRTX. ⚡
— NVIDIA AI (@NVIDIAAI) 6 décembre 2023
With new AI tools, enhancements, and more, you'll be able to go from imagination to reality quicker than ever before. 🙌
Learn more 👉 https://t.co/q1icPlmCjw pic.twitter.com/Dqqi5XreJETake your creativity further with AI & faster with #AIonRTX. With new AI tools, enhancements, and more, you'll be able to go from imagination to reality quicker than ever before. Learn more https://
nvda.ws/41qx9tf -
Gemini Technical Report: TPU Training, Performance vs GPT Models
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Summary of Gemini's 60-page technical report. 1. Written in Jax and trained using TPUs. The architecture, while not explained in details, seems similar to Flamigo's. 2. Gemini Pro's performance is similar to GPT-3.5 and Gemini Ultra is reported to be better than GPT-4. Nano-1
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AI on RTX: Accelerate Creative Projects with Advanced Tools
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Take your creativity further with AI and faster with #AIonRTX. With new AI tools, enhancements, and more, you'll be able to go from imagination to reality quicker than ever before. Learn more: https://
nvda.ws/3TgAVmH -
Google’s AI Model Competes with GPT-4, Cuts Infrastructure Costs
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Seems to solidly compete with GPT-4 on benchmarks.
Google has existing customers and surfaces to start the feedback loop, without worrying about adoption.
And Google will use TPUs for inference, so doesn't have to pay NVIDIA their 70% margins (like @OpenAI and @Microsoft has to -
Groq LPU Engine: 10X Efficiency at AI Summit NY
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Stop by booth #230 at #AISummit NY to learn how the #Groq #LPU ™ Inference Engine is 10X more energy efficient & 10X more cost-effective. Don't miss our panel today at 4:20 ET on the Practitioners Stage. @lifebypixels & other experts will be discussing the democratization of #AI
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Nanodendrites Enable Brain-Like Energy-Efficient Computing Innovation
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“Neural networks today are about as similar to a brain as an airplane is to a bird,” says faculty affiliate @boahen_k
. His nanodendrite brings us closer to brain-like computing, signaling a potential shift from power-hungry systems to energy-savvy chips. https://
stan.md/3R4yXTM