Read our latest blog in our AI factory series to learn how the NVIDIA DPU unlocks power AI factories and how BIG-IP Next for Kubernetes deployed on the NVIDIA BlueField-3 DPU offloads traffic management and security from the CPU, freeing valuable CPU cycles: https://go.f5.net/2nt8ei2v
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ML Engineer • Ex-GDSC Lead • Tensorflow • RMKEC'25 • Flutter Aside • Torture the data long enough, unless it confesses something • Blog Writer
Did Nvidia get Killed? A chip that can't run simple CNN, RNN, or LSTMs either, but better than Nvidia's Blackwell(B200)? Yes, Meet Etched's Sohu - The best ASIC of all time. "A single 8xSohu server can replace 160 H100 GPUs" is what I heard from the Etched website - https://lnkd.in/gYcRHR8E Do share your thoughts in the comment section! #deeplearning #artificialintelligence #computationalintelligence #machineintelligence #neuralnetworks #aiinnovation #technologicaladvancement
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A new video this morning from our colleague Simon McCormack showcasing the Llama 3.1 model using CPU and GPU inference acceleration. This video demonstrates the performance improvements and technical capabilities of Drut's disaggregated resource solution by dynamically adding a Nvidia L40s GPU in processing machine learning models, focusing on how Drut can optimize inference times on different hardware platforms. #llama #ai #gpus https://lnkd.in/eq9SvMAj
Drut Technologies Llama31-70B CPU and GPU Inferencing Acceleration (Demo)
https://www.youtube.com/
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RCLs will replace GPTs. 🌊 Reasoning, Continuous, Liquid AI nets. Generative 🚫: Token prediction is way of the past. ✅ Pre-Training 🚫: Future SOTA will be continuous time (weights computed fluidly at runtime). ✅ Liquid nets will replace all Transformers. LPU > GPU > CPU
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Cloud Partner Engineer at Google | Data & Analytics Specialist | Gen AI | Thought Leadership | Blogger | ex-AWS | ex-TCS
Our latest TPU, Trillium, is now available in preview. Learn more about our latest TPU, Trillium, from a Google expert — as well as what a TPU, CPU and GPU are and what makes them all different. #google #googlecloud #ai #tpu #gpu
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🥑ML DevRel Engineer @neptune.ai | 🎈 Creator & Community Moderator @Streamlit | 👨💻Ex - Data Scientist @ Reuters, Deloitte
🚀 Revolutionizing local LLM inference: Say hello to Intel Corporation's ipex-llm, the game-changer in running large language models (LLMs) on Intel CPUs and GPUs! 🧠💻 🏎️💨 Performance Boost: Experience ultra-low latency and high-speed inference with over 50 optimized models, including the likes of LLaMA2, Mistral, and Whisper. 🔗🧩 Integration Heaven: Enjoy smooth integration with tools like HuggingFace transformers, LangChain, and DeepSpeed-AutoTP for an enhanced ML workflow. 🪄🌟 Innovation at Its Best: The introduction of Self-Speculative Decoding and INT2 support showcases ipex-llm’s commitment to pushing the boundaries of ML performance. For LLM enthusiasts and professionals looking to supercharge their LLMs, ipex-llm is your go-to library. Dive deeper into the world of high-performance LLMs with ipex-llm here: https://lnkd.in/eAHQ9XAG. 📚 #MachineLearning #MLOps #IntelAI #LLM #Innovation #Performance
💫 IPEX-LLM #
ipex-llm.readthedocs.io
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Got time for some accelerated Llama 3.1? Check out my latest video where I show Llama 3.1 dynamically accelerated by a disaggregated GPU
A new video this morning from our colleague Simon McCormack showcasing the Llama 3.1 model using CPU and GPU inference acceleration. This video demonstrates the performance improvements and technical capabilities of Drut's disaggregated resource solution by dynamically adding a Nvidia L40s GPU in processing machine learning models, focusing on how Drut can optimize inference times on different hardware platforms. #llama #ai #gpus https://lnkd.in/eq9SvMAj
Drut Technologies Llama31-70B CPU and GPU Inferencing Acceleration (Demo)
https://www.youtube.com/
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https://lnkd.in/gsJ3_eWg Stephen Hood and Justine Tunney showing off amazing local CPU Inference (10x and beyond.) Threadripper goes from 300 TPS to 2400 TPS
Llamafile: bringing AI to the masses with fast CPU inference: Stephen Hood and Justine Tunney
https://www.youtube.com/
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Rockchip RK3582 is a cost-down version of RK3588S with two Cortex-A76 cores, four Cortex-A55 cores, no GPU https://lnkd.in/eNvygfPK
Rockchip RK3582 is a cost-down version of RK3588S with two Cortex-A76 cores, four Cortex-A55 cores, no GPU - CNX Software
https://www.cnx-software.com
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Our latest TPU, Trillium, is now available in preview. Learn more about our latest TPU, Trillium, from a Google expert — as well as what a TPU, CPU and GPU are and what makes them all different. #ai #tpu #gpu
What's the difference between a CPU, GPU and TPU?
google.smh.re
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Our latest TPU, Trillium, is now available in preview. Learn more about our latest TPU, Trillium, from a Google expert — as well as what a TPU, CPU and GPU are and what makes them all different. #ai #tpu #gpu
What's the difference between a CPU, GPU and TPU?
google.smh.re
