@swayam_rohit_gavankar813

🩺 env-doctor Stop wasting expensive GPU hours on environment failures. Have you ever had an ML build fail or rerun expensive training because of a CUDA mismatch? You launch a job on a $30/hr H100 cluster, only to find it crashed 5 minutes in because flash-attn wasn't compiled for your CUDA version or xformers mismatched with torch. Enter env-doctor: a local-first runtime compatibility platform for Python AI/ML workflows. Premise: "If one user faces an environment failure, no other user will ever face it again." 🌟 Why env-doctor? Traditional managers only check if packages can be installed together. env-doctor checks: "Will this stack actually work at runtime on your exact hardware?" We stop OOM errors, silent CUDA fallback slowdowns, and breaking changes before you provision a GPU. Core Features 🛡️ Community Intelligence: Vetted by AI agents (Watsonx Orchestrate) and pushed to a global DB. 🧠 Smart VRAM Estimation: OOM detection accounting for quantization, KV cache, and fragmentation across vllm, transformers, llama.cpp, and tgi. 🚀 Stable Recommendations: Analyzes hardware to recommend rock-solid dependency stacks. 🔍 Deep Checks: Scans files against known ABI conflicts and CUDA mismatches. 🤖 AI Bug Reporting: Captures stack traces and system states to generate new protection rules. ⚡ Quick Start Install env-doctor globally using uv or pip: pip install env-doctor-pypi 1. Sync Database: env-doctor update-db 2. Check Project: env-doctor check requirements.txt 🔴 Critical Issue: torch 2.1.0 and flash-attn 2.5.0 conflict. Will cause segmentation fault. 3. Estimate VRAM: env-doctor vram --model meta-llama/Llama-2-7b-hf --runtime vllm --seq-len 32768 --quant fp16 4. Get Recommendations: env-doctor recommend 🛠️ Supported: vllm, transformers, tgi, deepspeed, tensorrt-llm, llama.cpp, onnxruntime on NVIDIA GPUs (CUDA). (Majority of the code is written by IBM Bob. Thanks Bob!!)

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.