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A.G.I. is here! (A) lot of (G)PUs (I)nterconnected https://lnkd.in/eqdZGbmA

We are about a week away from the CUDAMODE IRL event and we are happy to announce we have secured compute! We’ve secured an incredible $300+K in cloud credits, a 10-node GH200 cluster, and a 4-node 8 H100 cluster! Thanks to our amazing sponsors, we are working with the sponsors to extend the credits beyond the event. RSVP: https://lnkd.in/dVJ9VEfA Lambda Anyscale Modal NVIDIA Oracle Cloud Nebius AI Prime Intellect Together AI Accel PyTorch fal

Deploy and run AI on Kubernetes without the ?? More efficient and scalable deployments are within reach: check this step-by-step guide for deploying a Kubernetes cluster with SkyPilot, on Lambda Public Cloud. Cloud credits to experiment the tutorial for free are on us! https://bit.ly/4cYaZmd

Axolotl AI just dropped a detailed guide on fine-tuning Meta's Llama 3.1 405B model using a Lambda 1-Click Cluster: https://lnkd.in/g2QdjHwk If you're an AI/ML developer who values precision and efficiency, this one's for you. Why Llama 3.1 405B???? Released just a month ago by Meta, this model is already making waves, standing toe-to-toe with proprietary frontier models on benchmarks and the LMSYS Chatbot Arena Leaderboard. What’s inside this guide???? - Setting up Axolotl and configuring the environment - Fine-tuning the Llama 3.1 405B model using Maxime Labonne’s FineTome dataset - Detailed steps for setting up inter-node SSH, shared filesystems, and even optional OpenMPI configurations for parallel processing Why should you care???? This guide isn't just about following steps—it's about understanding the intricacies of model fine-tuning at scale. From configuring FSDP to leveraging LinkedIn’s Liger Kernels for better GPU VRAM efficiency, the tutorial is packed with insights that can help you get the most out of your resources. Prerequisites???? - A Lambda Cloud account - A functional 1-Click Cluster (64 H100 GPUs recommended for full parameter fine-tuning)

Local AI cloud services coming to enterprises, startups, and research labs in South Korea! ?? Lambda’s AI Cloud platform expands thanks to a partnership with the region’s largest telecommunications company, SK Telecom https://bwnews.pr/4dLsqXG

?? Meet Hermes 3: The First Full-Parameter Fine-Tuning of Llama 3.1! ??♂? ?? We’re excited to introduce Hermes 3, the first full-parameter fine-tune of Llama 3.1 405B, brought to you by Nous Research and trained on a Lambda 1-Click-Cluster. From strategic decision-making to complex creative writing, role-playing, and Agent building—Hermes 3 excels across the board. Try your prompts immediately on https://lambda.chat/ or use our Chat Completions API - for FREE.

Look who made the list at #84 ?? We're honored to be recognized as one of the Top 100 private cloud computing companies in the world for our commitment to serving the AI/ML community: https://lnkd.in/etRHGNfs

Hear from the experts behind Lambda's AI Developer Cloud and Gretel's synthetic data platform about how their combined stack accelerates GenAI experimentation. Join us to learn how to: ??? Design and iterate on a task-specific dataset using Gretel Navigator ?? Fine-tune a Small Language Model (SLM) with Lambda Cloud on several versions of the synthetic dataset from Gretel ? Speed-up innovation and reduce AI development costs Register for free: https://lnkd.in/eF4wnj8s

Good: a complete deployment guide for Llama 3.1 8B and 70B. Better: solid 8x NVIDIA H100 SXM GPU instances available to test the guide. Best: a new $2.99 / GPU / hour price for these instances. Only settle for the best: https://lnkd.in/exRb4e5j

It’s the largest open-source model ever, rivaling leading foundation models like GPT-4, GPT-4o, and Claude 3.5 Sonnet: AI at Meta's Llama 3.1 405B opens a realm of possibilities for research and commercial applications alike. At this size,?a multi-node setup is a must-have to run the model at full precision (FP16). There’s a tutorial for that! https://bit.ly/3yl3mYC