Hardware · NVIDIA
What AI models can the NVIDIA RTX 500 Ada Generation Laptop GPU run?
- VRAM
- 4.0 GB
- Usable for models
- 4.0 GB
- Memory bandwidth
- 128 GB/s
- FP16 compute
- 9.2 TFLOPS
- Released
- 2024
More about this hardware
| Maker | NVIDIA |
|---|---|
| Type | Laptop GPU (soldered memory) |
| Interface | PCIe 4.0 |
Apps that run models well on the NVIDIA RTX 500 Ada Generation Laptop GPU
7 products with the NVIDIA RTX 500 Ada Generation Laptop GPU
Precision 3490 WorkstationProduct page (opens in a new tab)
Precision 3590 WorkstationProduct page (opens in a new tab)
ZBook 8Product page (opens in a new tab)
ZBook Power 16" G11Product page (opens in a new tab)
ThinkPad P14s Gen 5Product page (opens in a new tab)
ThinkPad P16s Gen 3Product page (opens in a new tab)
ThinkPad P16v Gen 2Product page (opens in a new tab)
Best LLMs for the NVIDIA RTX 500 Ada Generation Laptop GPU
| Quality | Model | Quant | Memory | Speed | Runs |
|---|---|---|---|---|---|
| 64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. | Nemotron Labs Dory 1.0 4B | Q4_K_M | 3.7 GB | 39.5 tok/s | Runs welltight fit |
| 62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. | Spark-X2.6 4B | Q4_K_M | 3.6 GB | 38.2 tok/s | Runs welltight fit |
| 59Good quality (B) · 59 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. | MiniCPM5 2B | Q6_K | 3.2 GB | 43.3 tok/s | Runs great |
| 58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. | Gemma 4 E2B | Q4_K_M | 4.0 GB | 68.3 tok/s | Runs welltight fit |
| 56Good quality (B) · 56 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. | LFM3 1.7B | Q8_0 | 2.7 GB | 46.2 tok/s | Runs great |
| 57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. | TMax 4B | Q4_K_M | 3.6 GB | 37.3 tok/s | Runs welltight fit |
| 58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. | Qwen3.5 4B | Q4_K_M | 3.9 GB | 33.7 tok/s | Runs welltight fit |
| 57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. | Agents-A1 4B | Q4_K_M | 3.8 GB | 34.6 tok/s | Runs welltight fit |
| 55Good quality (B) · 55 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. | Fara 1.5 4B | Q4_K_M | 3.8 GB | 34.6 tok/s | Runs welltight fit |
| 50Fair quality (C) · 50 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. | LFM3-VL 2B | Q8_0 | 2.9 GB | 41.7 tok/s | Runs great |
| 47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. | Nemotron 3 Nano 4B | Q4_K_M | 3.4 GB | 39.6 tok/s | Runs great |
| 49Fair quality (C) · 49 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. | Granite 4.2 3B | Q4_K_M | 3.7 GB | 42.9 tok/s | Runs welltight fit |
Best Image models for the NVIDIA RTX 500 Ada Generation Laptop GPU
| Quality | Model | Quant | Memory | Speed | Runs |
|---|---|---|---|---|---|
| 77Great quality (A) · 77 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. | FLUX.2 [klein] 4B | Q8 GGUF | 3.6 GB | 7.8 s | Runs welltight fit · CPU offload |
| 42Fair quality (C) · 42 of 100: how capable the model is at FP16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. | Realistic Vision V5.1 | FP16 | 2.8 GB | 6.2 s | Runs great |
| 40Fair quality (C) · 40 of 100: how capable the model is at FP16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. | DreamShaper 8 | FP16 | 2.8 GB | 6.2 s | Runs great |
| 50Fair quality (C) · 50 of 100: how capable the model is at FP16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. | PixArt-Σ XL 1024 | FP16 | 3.3 GB | 8.2 s | Runs greatencoder in RAM |
| 84Great quality (A) · 84 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. | FLUX 3 Image Klein | Q4 GGUF | 3.4 GB | 46 s | SlowCPU offload |
| 35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. | Stable Diffusion 1.5 | FP16 | 2.8 GB | 6.2 s | Runs great |
Best Video models for the NVIDIA RTX 500 Ada Generation Laptop GPU
| Quality | Model | Quant | Memory | Speed | Runs |
|---|---|---|---|---|---|
| 35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. | AnimateDiff v3 (SD 1.5) | FP16 | 2.6 GB | 2.2 min | Runs greatCPU offload |
Best Decision models for the NVIDIA RTX 500 Ada Generation Laptop GPU
| Quality | Model | Quant | Memory | Speed | Runs |
|---|---|---|---|---|---|
| 86Excellent quality (A+) · 86 of 100: how capable the model is at F16, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking. | Jina Reranker v3.5 | F16 | 2.2 GB | 67 ms | Runs great |
| 84Great quality (A) · 84 of 100: how capable the model is at F16, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. | Jina Reranker v3 | F16 | 2.2 GB | 67 ms | Runs great |
| 80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. | FRIDA-Decisions | F16 | 2.4 GB | 44 ms | Runs great |
| 80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. | GLiNER2.5 Decide | F16 | 1.7 GB | 28 ms | Runs great |
| 80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. | Qwen3 Reranker 0.6B | F16 | 2.2 GB | 67 ms | Runs great |
| 82Great quality (A) · 82 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. | mxbai-rerank-large v2 | Q8_0 | 2.5 GB | 142 ms | Runs well |
| 76Great quality (A) · 76 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. | Llama Prompt Guard 2 86M | F16 | 1.2 GB | 31 ms | Runs great |
| 76Great quality (A) · 76 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. | mxbai-rerank-base v2 | F16 | 1.8 GB | 55 ms | Runs great |
Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.