AgentSwarms' interactive guide matches LLMs to GPUs instantly
Select model size and quantization to see exact GPU requirements in real time.
Deploying open-source LLMs often means guessing hardware requirements through scattered Reddit threads or outdated static tables. AgentSwarms solves this with 'Which GPU Runs Which LLM,' an interactive blog that gamifies infrastructure planning. Instead of reading VRAM math, you actively engage: pick a model size (8B, 32B, 70B, etc.), choose quantization (FP16, 8-bit, 4-bit, GGUF, or AWQ), and the deck calculates VRAM constraints and visually maps the exact GPU tiers you need—from an A10G to a bare-metal A100 cluster.
The tool builds intuitive understanding of token economics and hardware limits before you commit to expensive cloud instances. It's completely free and requires no sign-ups. This format turns a tedious technical decision into an exploratory experience, helping engineers optimize deployments faster and cheaper. Check it out at agentswarms.fyi/blog/which-gpu-runs-which-llm-the-complete-guide.
- Interactive deck lets you choose model sizes from 8B to 70B and quantization types (FP16, 8-bit, 4-bit, GGUF, AWQ) for instant VRAM calculations.
- Visually maps GPU tiers from consumer-grade A10G to large-scale A100 clusters, eliminating guesswork and Reddit hunting.
- Free to use with no sign-ups, turning deployment planning into a gamified learning experience that saves time and cloud costs.
Why It Matters
Turns guesswork into precise GPU matching, saving developers time and cloud spending.