Dhaaba News’ Post

Which is better? #vLLM vs #TensorRT_LLM 🔎 We evaluate their performance on key metrics like throughput, TTFT, and TPOT with default options and specific service scenarios. 📊 Get insights on how to optimize your LLM deployment. 💡 This is just the beginning—more in-depth analyses coming soon! #AI #LLM #Optimization #NVIDIA #TensorRT #TRTLLM #vLLM #Deployment

What happens when we quantize both weights and activations of LLMs? Following our previous post on weight-only quantization, this time we are exploring weight-activation quantization in #vLLM and #TensorRT_LLM. Discover how this quantization approach impacts model efficiency and performance across different configurations. Curious about balancing precision and speed? Check out our findings on achieving high-quality results with lower compute costs. #AI #LLM #Optimization #TensorRT #TRTLLM #vLLM #Quantization #Deployment #FitsonChips #SqueezeBits

STOP THE CRAZY TRAIN BEFORE IT'S TOO LATE! Here's a nice blog post in "Mission Impossible" style, explaining how my French colleagues built a fun and inspiring AI demo with moving parts and cameras. There's also a link to a YouTube video showing how it all works in practice. Thanks to Nicolas Massé Adrien Legros Pauline T. Mourad Ouachani https://lnkd.in/dH72KMHJ #openshiftai #ai #mlops #predictive #redhat #fun #openshift #opensource

AI PCs are here: should they be on your radar?

How to Run the Powerful Flux AI Image Generator on Less Powerful PCs https://lnkd.in/dUfMupwD

🚀 𝐈𝐧𝐬𝐢𝐝𝐞 𝐭𝐡𝐞 𝟏𝟎𝟎𝐊 𝐆𝐏𝐔 𝐱𝐀𝐈 𝐂𝐨𝐥𝐨𝐬𝐬𝐮𝐬 𝐂𝐥𝐮𝐬𝐭𝐞𝐫 𝐃𝐚𝐭𝐚 𝐂𝐞𝐧𝐭𝐞𝐫 𝐁𝐮𝐢𝐥𝐭 𝐛𝐲 𝐒𝐮𝐩𝐞𝐫𝐦𝐢𝐜𝐫𝐨 𝐟𝐨𝐫 𝐄𝐥𝐨𝐧 𝐌𝐮𝐬𝐤 🚀 🔍 𝐀 𝐋𝐨𝐨𝐤 𝐈𝐧𝐬𝐢𝐝𝐞 𝐭𝐡𝐞 𝐱𝐀𝐈 𝐂𝐨𝐥𝐨𝐬𝐬𝐮𝐬 𝐒𝐮𝐩𝐞𝐫𝐜𝐨𝐦𝐩𝐮𝐭𝐞𝐫 For those who have heard about Elon Musk’s xAI constructing an enormous AI supercomputer in Memphis—this is that cluster. With a staggering 100,000 NVIDIA H100 GPUs, this multi-billion-dollar AI cluster not only stands out for its size but also for the speed of its construction. In just 122 days, teams completed this colossal build, giving us a rare glimpse inside today. ⚙️ 𝐔𝐧𝐩𝐫𝐞𝐜𝐞𝐝𝐞𝐧𝐭𝐞𝐝 𝐒𝐜𝐚𝐥𝐞 𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐛𝐲 𝐍𝐕𝐈𝐃𝐈𝐀 𝐒𝐩𝐞𝐜𝐭𝐫𝐮𝐦-𝐗 This AI marvel runs on NVIDIA’s Spectrum-X™ Ethernet networking platform, delivering ultra-high performance for hyperscale AI systems. This advanced Ethernet solution ensures 95% data throughput with zero latency degradation—essential for training xAI’s Grok large language models, which are available to X Premium subscribers. As xAI expands, Colossus is set to double to a 200,000 NVIDIA Hopper GPU setup! 💧 𝐒𝐮𝐩𝐞𝐫𝐦𝐢𝐜𝐫𝐨 𝐋𝐢𝐪𝐮𝐢𝐝-𝐂𝐨𝐨𝐥𝐞𝐝 𝐑𝐚𝐜𝐤𝐬 𝐚𝐭 𝐱𝐀𝐈 Colossus is engineered with Supermicro liquid-cooled racks housing 8 servers with 8 NVIDIA H100 GPUs each—a robust 64 GPUs per rack design. These racks, supported by the Supermicro Coolant Distribution Unit (CDU), handle intensive AI demands while remaining quick to service. The purpose-built liquid cooling design offers optimized performance, contrasting with retrofitted systems. 🌐 𝐍𝐕𝐈𝐃𝐈𝐀 𝐒𝐩𝐞𝐜𝐭𝐫𝐮𝐦-𝐗 𝐚𝐧𝐝 𝐒𝐮𝐩𝐞𝐫𝐦𝐢𝐜𝐫𝐨: 𝐀 𝐆𝐚𝐦𝐞-𝐂𝐡𝐚𝐧𝐠𝐞𝐫 𝐢𝐧 𝐀𝐈 With NVIDIA Spectrum SN5600 switches reaching up to 800Gb/s and NVIDIA BlueField-3® SuperNICs, Colossus achieves high bandwidth, low latency, and unparalleled scalability, setting new standards for AI data centers. As Elon Musk remarked, “Colossus is the most powerful training system in the world,” illustrating the impact of massive-scale Ethernet on AI innovation. 📽️ Take a virtual tour here: Video on YouTube

There are plenty of reasons why you'd want to run LLMs on your local machine. It may be difficult at times, but here's how you can do it. #datascience #AI #artificialintelligence https://hubs.li/Q02J_d3h0

The most important phase of AI league is now even more exciting with the introduction of MI325X AI Chip.

With Gaudi 3, Intel Can Sell AI Accelerators To The PyTorch Masses

There are plenty of reasons why you'd want to run LLMs on your local machine. It may be difficult at times, but here's how you can do it. #datascience #AI #artificialintelligence https://hubs.li/Q02J_np30