Back

I built an AI workflow and wanted to turn it into an app, but messed up the deployment part. Hosted it on Runpod 24/7 and wasted ₹5,000 before realizing I should’ve used per-request GPU instead. 😭 If anyone knows the right way to deploy ComfyUI wor

NVIDIA- THE DOMINANT FORCE 1. NVIDIA is a leading force in AI and GPU technology. 2. Their GPUs, like the H100 Tensor Core, are critical for AI development, including training models like ChatGPT. 3. NVIDIA's stock has surpassed a $1 trillion ma

India might be behind in building its own AI, but we don’t have to stay out of the game. Right now, most AI video generation tools are priced in dollars — way out of reach for Indian students and creators. While open-source AI video generators do exi

NVIDIA is cashing in on the AI gold rush by selling shovels to tech giants ‼️ GPUs are essential in training complex neural networks, and NVIDIA's accelerate AI adoption worldwide. Their processors power 90% of supercomputers and are used by every m

Just launched 🚀 LabStack, a personal project I built to let developers spin up fully isolated, cloud-based dev environments right from the browser — in under 30 seconds ⚡ It’s powered by Docker 🐳 containers running on on-demand EC2 instances, orch

You don’t need cloud APIs to run powerful coding agents anymore. Claude Code can now operate fully on your own GPU. The walkthrough from Unsloth AI shows how developers are making it happen. The actual setup is surprisingly simple. A local runtime

Hey everyone! I wanted to share an idea I’ve been working on and get your thoughts. I’m exploring the possibility of creating a super affordable external GPU solution for professionals and creators here in India. The idea is to provide something like

🗞️ Medial Bulletin 🤖 AI & Software • Nvidia releases Nemotron 3 Super, an open source AI model designed to power autonomous agents and complex reasoning workflows. • Global enterprises accelerate adoption of AI automation tools as companies deplo

I fine-tuned 3 models this week to understand why people fail. Used LLaMA-2-7B, Mistral-7B, and Phi-2. Different datasets. Different methods (full tuning vs LoRA vs QLoRA). Here's what I learned that nobody talks about: 1. Data quality > Data quan

Full - Stack marketer🚨 A new wave has entered the marketing field, and I’ve been digging into blogs and posts about it for a few weeks. Yup, it’s a bit scary 😅 but also opening up tons of doors at the same time. Okay, keeping it simple: a Full-S