What AI models can the NVIDIA RTX PRO 500 Blackwell Generation Laptop GPU run?

VRAM: 6.0 GB
Usable for models: 6.0 GB
Memory bandwidth: 336 GB/s
FP16 compute: 9.2 TFLOPS
Released: 2025

434 / 622 LLMs run Best: Nemotron Labs Dory 1.0 4B 43 / 61 Image models run Best: FLUX.2 [klein] 4B 3 / 43 Video models run Best: AnimateDiff v3 (SD 1.5) 63 / 70 Decision models run Best: Jina Reranker v3.5

More about this hardware

Maker	NVIDIA
Type	Laptop GPU (soldered memory)
Interface	PCIe 5.0

Apps that run models well on the NVIDIA RTX PRO 500 Blackwell Generation Laptop GPU

Windows

Linux

For a typical model that fits in memory. Each model page picks the best app for that model on this hardware. All apps

5 products with the NVIDIA RTX PRO 500 Blackwell Generation Laptop GPU

ThinkPad P14s Gen 6Lenovo · Laptop · 6 or 8 GBProduct page (opens in a new tab)
ThinkPad P16s Gen 4Lenovo · Laptop · 6 or 8 GBProduct page (opens in a new tab)
ThinkPad P16v Gen 3Lenovo · Laptop · 6 or 8 GBProduct page (opens in a new tab)
Pro Max 16 LaptopDell · Laptop · 6 or 8 GBProduct page (opens in a new tab)
ZBook X G1i 16"HP · Laptop · 6 or 8 GBProduct page (opens in a new tab)

Best LLMs for the NVIDIA RTX PRO 500 Blackwell Generation Laptop GPU

Quality	Model	Quant	Memory	Speed	Runs
67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.	Nemotron Labs Dory 1.0 4BNVIDIA	`Q6_K`	4.6 GB	71.9 tok/s	Runs great
65Good quality (B) · 65 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.	Spark-X2.6 4BSparkLLM	`Q6_K`	4.6 GB	69.6 tok/s	Runs great
67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.	Nanbeige4.2 3BBOSS Zhipin (Nanbeige)	`Q6_K`	5.8 GB	68.6 tok/s	Runs welltight fit
66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.	Nemotron 3.5 Bolt E4BNVIDIA	`Q4_K_M`	5.9 GB	91.7 tok/s	Runs welltight fit
65Good quality (B) · 65 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.	MiMo V2.6 Distill Qwen 9BXiaomi	`Q3_K_M`	5.8 GB	56.7 tok/s	Runs welltight fit
64Good quality (B) · 64 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.	Ornith 1.5 9BDeepReinforce	`Q3_K_M`	5.9 GB	55.3 tok/s	Runs welltight fit
64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 E4BGoogle	`Q4_K_M`	5.9 GB	91.7 tok/s	Runs welltight fit
63Good quality (B) · 63 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 9BAlibaba	`Q3_K_M`	5.9 GB	55.3 tok/s	Runs welltight fit
61Good quality (B) · 61 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 4BAlibaba	`Q6_K`	5.0 GB	61.4 tok/s	Runs great
63Good quality (B) · 63 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	Ornith 1.0 9BDeepReinforce	`Q3_K_M`	5.9 GB	55.3 tok/s	Runs welltight fit
60Good quality (B) · 60 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	TMax 4BAi2	`Q6_K`	4.6 GB	68.0 tok/s	Runs great
60Good quality (B) · 60 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 E2BGoogle	`Q5_K_M`	4.6 GB	148 tok/s	Runs great

Best Image models for the NVIDIA RTX PRO 500 Blackwell Generation Laptop GPU

Quality	Model	Quant	Memory	Speed	Runs
72Great quality (A) · 72 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	FLUX.2 [klein] 4BBlack Forest Labs	`Q4 GGUF`	4.6 GB	6.5 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 78/100 (quality, fit, speed and memory use) sets the ranking.	FLUX 3 Image KleinBlack Forest Labs	`Q4 GGUF`	5.7 GB	37 s	Runs welltight fit · encoder in RAM
56Good quality (B) · 56 of 100: how capable the model is at FP8, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.	DreamShaper XL v2 TurboLykon	`FP8`	5.6 GB	6.1 s	Runs welltight fit
52Fair quality (C) · 52 of 100: how capable the model is at FP8, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	SDXL-Lightning (4-step)ByteDance	`FP8`	5.6 GB	3.3 s	Runs welltight fit
82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	FLUX.2 [klein] 9BBlack Forest Labs	`FP8`	5.6 GB	11 s	Runs welltight fit · CPU offload
82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	Z-Image TurboAlibaba (Tongyi)	`FP8`	4.4 GB	15 s	Runs wellCPU offload

Best Video models for the NVIDIA RTX PRO 500 Blackwell 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 70/100 (quality, fit, speed and memory use) sets the ranking.	AnimateDiff v3 (SD 1.5)Shanghai AI Lab	`FP16`	4.7 GB	1.7 min	Runs great
50Fair quality (C) · 50 of 100: how capable the model is at FP16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.	LTX-Video 2BLightricks	`FP16`	4.7 GB	2.8 min	Runs greatCPU offload
44Fair quality (C) · 44 of 100: how capable the model is at FP8, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.	CogVideoX 2BZhipu AI	`FP8`	4.7 GB	6.1 min	Runs wellCPU offload

Best Decision models for the NVIDIA RTX PRO 500 Blackwell 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 v3.5Jina AI	`F16`	2.3 GB	57 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 v3Jina AI	`F16`	2.3 GB	57 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-DecisionsSber AI	`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 DecideFastino	`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 0.6BAlibaba	`F16`	2.3 GB	57 ms	Runs great
82Great quality (A) · 82 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.	mxbai-rerank-large v2Mixedbread	`Q8_0`	2.6 GB	130 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.	d1 3BLiquid AI	`Q8_0`	4.2 GB	139 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 86MMeta	`F16`	1.2 GB	31 ms	Runs great

Best LLMs by task on this hardware Open in Model Finder

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.