NVIDIA GeForce RTX 4090 vs NVIDIA GeForce RTX 3090 for AI
A head-to-head comparison of specs, pricing, and real-world AI performance to help you pick the right hardware.
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Quick Verdict
The NVIDIA GeForce RTX 4090 is the better performer but costs more. Choose it if you need top-tier AI performance and can justify the price premium. The NVIDIA GeForce RTX 3090 delivers solid value at a lower price point and is the smarter pick for budget-conscious buyers.
NVIDIA GeForce RTX 4090
$1,599 – $1,999
The best consumer GPU for AI. 24GB GDDR6X with 16,384 CUDA cores handles 70B+ parameter models locally — the go-to choice for serious AI workstations and local LLM setups.
NVIDIA GeForce RTX 3090
$699 – $999
The best-value GPU for AI on a budget. 24GB VRAM at a fraction of the RTX 4090 price — runs most open-source LLMs and handles fine-tuning workloads well.
Specs Comparison
| Spec | NVIDIA GeForce RTX 4090 | NVIDIA GeForce RTX 3090 |
|---|---|---|
| Price | $1,599 – $1,999 | $699 – $999 |
| VRAM | 24GB GDDR6X | 24GB GDDR6X |
| CUDA Cores | 16,384 | 10,496 |
| Memory Bandwidth | 1,008 GB/s | 936 GB/s |
| TDP | 450W | 350W |
| Interface | PCIe 4.0 x16 | PCIe 4.0 x16 |
AI Benchmarks
Community-reported figures — see sources for methodology. Results may vary by system configuration.
| Benchmark | NVIDIA GeForce RTX 4090 | NVIDIA GeForce RTX 3090 |
|---|---|---|
| Llama 3 8B (Q4) | 62 tok/s | 48 tok/s |
| Llama 3 70B (Q4) | 12 tok/s | 9 tok/s |
| Stable Diffusion XL | 8.2 it/s | 5.8 it/s |
NVIDIA GeForce RTX 4090
Pros
- +Proven workhorse for AI inference
- +Excellent VRAM capacity for most models
- +Strong community support and documentation
Cons
- -High power consumption
- -Premium pricing
- -Previous-gen Ada Lovelace architecture
NVIDIA GeForce RTX 3090
Pros
- +Great price-to-performance ratio
- +24GB VRAM handles most models
- +Widely available on secondary market
Cons
- -Previous generation architecture
- -Higher power draw per FLOP vs 4090
- -No 4th-gen tensor cores
Where to Buy
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