Best GPU for Ollama in 2026

Ollama makes local models easy to launch, but GPU shopping still begins with model fit. VRAM capacity determines whether the target model, context, and concurrent sessions remain on the accelerator. Software support determines whether the theoretical hardware is usable.

The used RTX 3090 is the value recommendation when 24GB matters. The RTX 5060 Ti 16GB is the cleaner new-card recommendation when 16GB fits. Those are different risk and capacity choices, not merely a speed ranking.

Start with the exact model

Record the model, quantization, intended context length, KV-cache format, and concurrency. Leave headroom for runtime allocations. A model that barely loads may fail or offload when context grows.

Use ollama ps to inspect processor placement after loading a representative prompt. Partial CPU offload is functional, but it can change latency enough that an interactive assistant becomes a batch workload.

CUDA is the low-friction path

NVIDIA remains the easiest recommendation because CUDA support is broadly documented across local-AI tools. The RTX 5060 Ti 16GB is the current new entry point. The RTX 5070 Ti does not increase VRAM, so buy it only when more throughput inside the same 16GB envelope is worth the extra system cost.

The RTX 3090 gives up efficiency and warranty for 24GB. Check the PSU, physical clearance, airflow, connector condition, memory temperatures, and seller return policy before treating the card price as the complete cost.

AMD and Intel require stack validation

The Radeon RX 9070 XT is not disqualified simply because older AMD guidance was rough. Current ROCm documentation covers RDNA 4, but the exact operating system and Ollama path still need verification.

The Intel Arc B580 is a budget experiment for smaller models. Buy it when working through backend constraints is part of the project, not when the server must be boring on day one.

Bottom line

Choose capacity first, software support second, and benchmark speed third. Buy the used RTX 3090 for a risk-tolerant 24GB CUDA build. Buy the RTX 5060 Ti 16GB for a current, lower-power, warrantied CUDA system. Buy AMD or Intel only after the exact Ollama stack is confirmed in current official documentation.