π» Tech
AI and developer tools for technical analysis
Our technology tools are designed for AI developers, machine learning engineers, and tech enthusiasts who need precise hardware and cost calculations. Whether you are building a local LLM inference server, comparing API pricing across major providers like OpenAI, Anthropic, and Google, or assembling a multi-model AI stack, these calculators provide the data you need to make informed decisions. Each tool uses real-world specifications from GPU manufacturers and up-to-date API pricing data, so you can plan your infrastructure with confidence before making expensive hardware or service commitments.
Why This Matters
Running AI models locally has become increasingly popular with the release of open-source LLMs like Llama, Mistral, and Qwen. However, VRAM requirements vary dramatically based on model size, quantization level, and context length. A miscalculation can mean purchasing an inadequate GPU or overspending on unnecessary hardware. Our tech tools help bridge the gap between model specifications and real-world hardware requirements, saving you time and money.
LLM VRAM Checker
Check if your GPU can run a specific LLM model.
AI Model Stack Builder
Calculate total VRAM for your multi-model AI setup.
API Pricing Calculator
Compare LLM API costs across providers. Calculate per-request and monthly spending.
Guides
Understanding LLM VRAM Requirements: A Complete Guide
Learn how VRAM requirements for large language models are calculated, including the effects of model size, quantization, and context length on GPU memory.
The Complete Guide to LLM API Pricing and Cost Optimization
Learn how to reduce LLM API costs by up to 90%. Compare pricing across OpenAI, Anthropic, Google, and more. Practical strategies for prompt caching, model selection, and budget management.