Bithost Understanding CUDA OOM, KV Cache & Concurrency A 13B parameter model is running on a GPU with 48GB of VRAM. The model weights take roughly 26GB when running in FP16. So the calculation looks simple: 48GB GPU − 26GB model = ~22GB available Then you... AEO AI AI & Technology AI Agent AI Automation AI Backend AI Governance CUDA GPU Computing GPU Support
Bithost Your Developers Are Paying for AI Out of Their Own Pockets A new research report from Bithost looks at how small IT companies are quietly shifting the cost of AI tools onto their own employees. Download The Full Report Most small software companies today want... AI & Technology AI Automation AI Backend AI Generated Code AI Governance AI Report AI Security AI Usage AI policy AI security trends DPDP Act shadow AI
Ram Krishna Build an AI agent in python Let’s build a simple AI agent in Python to illustrate the concept. Accept user input Plan steps to reach the goal Execute actions Learn or adapt slightly How we are going to make it happen, let's brea... AI AI Agent AI Backend AI Infrastructure ARQ Async ASGI FastAPI Image to Text LLM OCR Smart Web App WebSockets python server
