UAI proudly joins #SOAFEE to drive energy-efficient #AI acceleration for software-defined vehicles. Our expertise will enable high-performance, low-latency solutions for #autonomous driving at the #edge & #cloud as centralized car platforms create demand. https://
tinyurl.com/untetherai-soa
fee
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AI HARDWARE
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UAI joins SOAFEE for energy-efficient AI acceleration autonomous driving
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Leading Voice Chatbot Provider Integrates Groq’s AI Processor
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https://
hubs.la/Q02nkhz40, the leading provider of voice-enabled chatbot solutions, announced the integration of Groq’s Language Processing Unit™ Inference Engine, the world’s fastest AI processor, into its platform this week." https://
hubs.la/Q02nkq0W0 -
Crowdsourced GPU Cluster Ratings and TPU Comparison
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Great post by Yi.
It's time for crowd-sourced ratings for GPU clusters. Maybe an AirBnB for GPU Clusters. I also tried to explain some of the differences between TPU clusters and most public GPU clusters; as well as made some practical recommendations here: -
XLA-RT and Lower-Level TPU Infrastructure Documentation
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lower layer, as I understand. XLA-RT or something? The lower-level TPU stuff is not well-documented publicly 🙂
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GPU Cluster Ratings System: Reliability and Performance Comparison
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Great post Yi! We definitely need a Ratings mechanism for GPU Clusters (ala Airbnb for GPU Clusters). You are correct that large-scale GPU clusters that we carefully build are way more reliable and performant. I also want to point out some differences compared to TPU clusters
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Pure Storage at NVIDIA GTC24 GenAI RAG Demos and Expert Meetings
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Don't miss @PureStorage at #NVIDIA #GTC24. Visit the Pure Booth (#1529). Talk with their experts. See the #GenAI RAG demos. Attend their theater session. Register for 20% OFF registration at https://
purefla.sh/3OYYnSn where you can also book a live meeting with their experts, or if -
Llama 7B Training on Single RTX 4090 GPU Memory Efficient
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For the first time, we show that the Llama 7B LLM can be trained on a single consumer-grade GPU (RTX 4090) with only 24GB memory. This represents more than 82.5% reduction in memory for storing optimizer states during training. Training LLMs from scratch currently requires huge
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Intel Builds Cost-Efficient Automated Adaptable Networks for Businesses
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#Intel is building cost-efficient, #automated, & adaptable networks to accelerate new solutions for businesses & consumers. Learn more: https://
zurl.co/Jfbi @Intel #MWC24 #IoT @Inteliot #IntelAmbassador -
Intel Brings AI Everywhere with Open Secure Network Solutions
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#Intel is bringing #AI everywhere and connecting everything with open, #sustainable, and secure network solutions. @Intel #MWC24 #IoT @Inteliot #IntelAmbassador
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Tenstorrent Launches AI Bounty Program for Model Development
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Alongside the launch of our Grayskull DevKit we are excited to announce the launch of the Tenstorrent AI Bounty Program. Join us in adding AI models into TT-Buda demos. Opportunities include working on Qwen-1.5 (0.5B), Phi-2 (2.7B), Gemma 2B Find out how to get started on our