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AI GPU Comparison Table: VRAM, Bandwidth & Value Audit

This comparison table compiles specifications, VRAM capacity, memory bandwidth, and pricing for GPUs used in local AI workstations.

Local LLM VRAM & GPU Specification Recommender

Minimum VRAM Required
41.2 GB
Includes context cache & OS overhead
Recommended GPU Configuration
2x RTX 3090 / RTX 4090 (48GB VRAM total) or Mac Studio (64GB)
Estimated Inference Speeds
Medium (15-25 tokens/sec)

1. GPU Specifications and Value Metrics

Below is a consolidated list of GPU specifications and estimated pricing.

2. Understanding Memory Bandwidth Limits

GPU VRAM capacity determines what model size you can load. GPU memory bandwidth determines how fast the GPU can generate text. Aim for cards with high bandwidth to optimize performance.

Frequently Asked Questions

What is the best GPU for local AI on a budget?

A used RTX 3090 (24GB VRAM) offers the best value, providing the same VRAM capacity as the newer RTX 4090 at a fraction of the price.

Can I cluster graphics cards with NVLink?

Nvidia disabled NVLink on consumer RTX 3000/4000 series cards, restricting card-to-card communication bandwidth. NVLink is supported on enterprise A100 and H100 cards.