Intel and Amazon: Low expectations Intel’s data center-chip sales missed expectations, and it still has to articulate how it will catch up with and surpass Nvidia. But for the moment, crossing a low bar was enough to suggest a turnaround. The shares surged eight percent Thursday
AI HARDWARE
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Simulated 2D Dynamic Lighting Display in Mixed Reality
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This is not a real display
— Linus ✦ Ekenstam (@LinusEkenstam) 26 octobre 2023
It’s an simulated 2D screen with dynamic lighting inside mixed reality.
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pic.twitter.com/UlODEMSJkWThis is not a real display It’s an simulated 2D screen with dynamic lighting inside mixed reality.
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Snapdragon and Apple M2/M3 Running LLMs On-Device
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Yes, def, did you see the snapdragon keynote? 30 tokens a second for Llama2 7B param on device. Maximum 13B param available to run on device. Apple can def run LLM’s on M2/M3
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Future Head-Mounted Devices: Brutalist Soviet Design Exploration
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Prompt Share | Midjourney Digital head mounted devices of the future. Love exploring these odd buckets of wonders. What will you make? A device that goes on your head, 1970's brutalist soviet industrial design, product design photograph –style raw –v 5.2
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Cerebras Co-Founder Presents AI Hardware Innovations at OktoberTech
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Cerebras Co-Founder JP Fricker had a great time presenting at OktoberTech 2023! This annual event by @Infineon Technologies brought together some of the brightest minds in the tech industry to share their perspectives on the latest trends and innovations. #Digitalization
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Google Cloud G2 VMs NVIDIA L4 GPU AI Model Deployment
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In this @googlecloud webinar, explore how G2 VMs powered by NVIDIA L4 Tensor Core GPUs and Triton Inference Server can standardize #AI model deployments across your workloads and how @Get_Writer is using G2 VMs to bring #generativeAI to enterprises. https://
nvda.ws/473cGvQ -
Why Nvidia’s AI Supremacy is Only Temporary
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Why Nvidia’s AI Supremacy is Only Temporary https://
bit.ly/44WvZFY #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Peak On-Device Model Capacity Reaches 13B Parameters
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Currently peak on device is 13B parameters
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Llama2-7B Reaches 30 Tokens Per Second On-Device
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Here we go. Llama2-7B at 30 tokens per second ON CHIP. Give it 2 more cycles and we’ll see the larger models on device at these speeds. LLMs will be as omnipresent as calculators, simple maths.
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AI Automates Building Safety Analysis Using Street View Images
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@UF researcher, Chaofeng Wang, uses #AI and street view images to automate building safety analysis with the university’s supercomputer, HiPerGator, cutting the evaluation time to just a few hours. Wang’s work is funded by an #NVIDIAGrant. Read more: https://
nvda.ws/3tIIuI5