FreeToken Hardware Requirements
GPU, VRAM, system RAM, and CPU requirements for running FreeToken locally. Configurations from 8GB cards to RTX 5090 workstations.
What are Hardware Requirements?
Hardware guides explain what GPU, VRAM, system RAM, CUDA version, and operating system FreeToken needs. They cover NVIDIA RTX 30, 40, and 50 series cards and show how hardware capacity affects the model sizes you can realistically serve, from 8GB consumer cards up to dual-GPU workstations.
Why check hardware requirements?
Plan Your Build
Know exactly which GPUs can run which model sizes before you buy
Balance VRAM and RAM
Understand how CPU memory pairs with GPU VRAM for MoE offloading
Avoid Costly Mistakes
Skip configurations that bottleneck throughput or fail to load large models
Featured & Essential
FreeToken 4gb vram: Setup Guide & Hardware Limits
Learn how FreeToken handles limited VRAM, CPU offload, expert caching, and realistic hardware requirements for local MoE serving.
FreeToken rtx 3090: Setup Guide & Performance Tips
Learn how to run FreeToken on an RTX 3090, prepare system memory, configure local models, and troubleshoot performance limits.
All Hardware Guides
FreeToken rtx 4090: Setup Guide & Benchmark Tips
Learn how FreeToken approaches local MoE inference on RTX 4090-class hardware, including caching, bandwidth tuning, setup limits, and benchmarks.
FreeToken rtx 5090: Setup Guide, Results & Tips
Learn how FreeToken uses an RTX 5090 for large MoE models, including setup requirements, benchmark results, caching, and practical hardware tips.
FreeToken vram: Setup Guide for Local MoE Inference
Learn how FreeToken uses VRAM, system RAM, PCIe bandwidth, and adaptive expert caching for local MoE model serving.