🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

RAAIS 2025 is next week! We’ll explore national AI policy, breakthroughs in image/video/audio/code generation, translating frontier models into real-world products, advances in drug discovery and so much more. Supported by Lambda Cooley LLP Oracle Cloud NVIDIA AI

1/ The MLCommons MLPerf Training v5.0 results are here—Let’s have a fresh look at the state of large-scale AI training! This round set a new record: 201 performance results from across the industry. 🔗mlcommons.org/2025/06/mlperf…

Modular Hack Weekend just leveled up! 📈 Our compute partner Lambda is bringing serious GPU muscle 💪 with their AI Developer cloud! Try Lambda's on-demand NVIDIA GPU instances and clusters for AI training and inference today: lambda.ai

> It's the year 2037 > You boot up your Lambda Neural Operating System > Load your super comfy medieval theme in VR > You feel the fireplace's warmth through your Neuralink sensory module > ASI is only 'a few years away' > You're still doing spreadsheets

Llama 3 on Lambda's 1CC with NVIDIA HGX B200 gives your ML teams 6x the throughput vs NVIDIA HGX H100. Fine-tune like it’s 2025 🚀 lambda.ai/service/gpu-cl…

DeepSeek R1 0528 on Lambda's Inference API: best-in-class value (cost-speed), best-in-class context window. No. Rate. Limits. lambda.ai/inference

Cutting-edge meets efficiency ⚡️ NORA, a 3B parameter model built by DeCLaReLab and Lambda Research, slashes compute costs while boosting robotic task performance. ☑️Trained on 970k real-world robot demos ☑️FAST+ tokenizer ☑️Outperforms OpenVLA in Real World WindowX task Real

We live in unprecedented, zero-friction times. • Want to learn DL? 👉🏻 fast.ai courses • Want to practice DL? 👉🏻 Kaggle • Want to do DL? 👉🏻 Kaggle kernels or Lambda All it takes is being slightly interested in the world around you.

An H100 with 96GB of RAM! That is a lot of compute 🙂 Plus, the price from Lambda makes it incredibly exciting; I couldn't refuse it calling my name! I wanted to benchmark it against my Quadro 8000 for training a Unet, and here is how it went:

ML teams training LLMs, vision models, and everything in between? NVIDIA HGX B200 – built for scalable multi-modal AI. High throughput, low latency, 1-click clusters. Lambda’s got it → lambda.ai/service/gpu-cl…

GPU Orchestration made simple = Big win for ML teams 🔗 lambda.ai/orchestration?…

More FLOPS, smarter parallelism, lower cost-per-token at scale. How much performance per dollar could ML teams want? NVIDIA HGX B200 = fewer GPUs, faster LLMs, better ROI 💰 Run more with less, on Lambda → lambda.ai/service/gpu-cl…

Kick off Modular Hack Weekend with our GPU Programming Workshop! Hear from Chris Lattner and get an intro to GPU programming with Mojo. Tune in on YouTube: youtube.com/watch?v=BBhZ9L… + RSVP to hack: lu.ma/modular-hack-w…. Powered by @NVIDIA, Lambda, and GPU MODE 💪