Executive Summary
When you're choosing a GPU for serious AI work—whether that's running Claude locally, fine-tuning 70B models, or pushing inference at scale—the landscape in 2025 is radically different from 2023.
GPU Specs at a Glance
| GPU | VRAM | Memory Bandwidth | TF32 Performance | Price (MSRP) |
|---|---|---|---|---|
| RTX 5090 | 32 GB | 1.46 TB/s | 1,456 TFLOPS | $1,999 |
| RTX 6000 Ada | 48 GB | 960 GB/s | 1,436 TFLOPS | $6,800 |
| RTX 3090 | 24 GB | 936 GB/s | 358 TFLOPS | $1,499 (EOL) |
The Verdict
For AI developers: The RTX 5090 is the best bang-for-buck for local inference and fine-tuning. The RTX 6000 Ada is overkill for most startups but essential for datacenters needing ECC memory and 48GB VRAM.
Bottom line: If you're running Claude locally or fine-tuning Llama 2, grab an RTX 5090. If you're building enterprise infrastructure, go RTX 6000 Ada. The RTX 3090 is now vintage—only consider if you already own one.