Products · HP · Workstation

HP Z2 Mini G9

Chips: 5 GPU options, from NVIDIA T400 to NVIDIA RTX 4000 SFF Ada Generation
VRAM: 4, 8, 12, 16 or 20 GB
Released: 2024

Product page (opens in a new tab) Full AI report

Configurations

Pick one to see which models it runs. More memory lets larger models fit; bandwidth sets how fast they answer.

Configuration	Memory	Usable for AI	Bandwidth	LLMs that run well	Launch price
NVIDIA T400	4.0 GB	4.0 GB	80 GB/s	215 of 622	—
NVIDIA T1000 8GB	8.0 GB	8.0 GB	160 GB/s	338 of 622	—
NVIDIA RTX A2000 12GB	12.0 GB	12.0 GB	288 GB/s	421 of 622	—
NVIDIA RTX 2000 Ada Generation	16.0 GB	16.0 GB	224 GB/s	455 of 622	—
NVIDIA RTX 4000 SFF Ada Generation	20.0 GB	20.0 GB	280 GB/s	461 of 622	—

Specifications 16.0 GB configuration

Maker	HP
Type	Workstation
Chip	NVIDIA RTX 2000 Ada Generation
Video memory (VRAM)	16.0 GB
Usable for AI models	16.0 GB
Memory bandwidth	224 GB/s
FP16 compute	12.0 TFLOPS
Notes	Workstation with NVIDIA RTX professional graphics; each option below is a GPU you can configure. Listed on the NVIDIA Marketplace.
Product page	www.hp.com (opens in a new tab)

Best LLMs for the HP Z2 Mini G9 16.0 GB

Quality	Model	Quant	Memory	Speed	Runs
77Great quality (A) · 77 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 26B-A4BGoogle	`Q3_K_M`	14.4 GB	71.8 tok/s	Runs welltight fit
73Great quality (A) · 73 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.	Raon-1 mini Preview (30B-A4B)KRAFTON	`Q3_K_M`	15.6 GB	65.2 tok/s	Runs welltight fit
70Great quality (A) · 70 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.	gpt-oss 20BOpenAI	`MXFP4`	13.5 GB	64.1 tok/s	Runs great
69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.	Mellum2.1 Thinking (12B-A2.5B)JetBrains	`Q6_K`	11.5 GB	59.8 tok/s	Runs great
78Great quality (A) · 78 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 12BGoogle	`Q4_K_M`	9.4 GB	23.0 tok/s	Runs well
67Good quality (B) · 67 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.	Maple Preview (20B-A1B)DeepGrove	`Q5_K_M`	15.9 GB	99.4 tok/s	Runs welltight fit
76Great quality (A) · 76 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.	K2 Horizon 7BInstitute of Foundation Models	`Q4_K_M`	8.1 GB	30.6 tok/s	Runs great
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.	ERNIE 4.5 21B-A3B ThinkingBaidu	`Q4_K_M`	15.2 GB	70.0 tok/s	Runs welltight fit
80Great quality (A) · 80 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.	Qwen3.8 27BAlibaba	`Q3_K_M`	15.5 GB	12.8 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.	DiffusionGemma 26B-A4B ITGoogle	`Q3_K_M`	14.5 GB	69.0 tok/s	Runs welltight fit

Best Image models for the HP Z2 Mini G9 16.0 GB

Quality	Model	Quant	Memory	Speed	Runs
82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	Z-Image TurboAlibaba (Tongyi)	`FP8`	12.6 GB	9.6 s	Runs great
89Excellent quality (A+) · 89 of 100: how capable the model is at FP8, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.	FLUX 3 Image KleinBlack Forest Labs	`FP8`	12.4 GB	22 s	Runs well
77Great quality (A) · 77 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.	FLUX.2 [klein] 4BBlack Forest Labs	`Q8 GGUF`	10.5 GB	4.9 s	Runs great
83Great quality (A) · 83 of 100: how capable the model is at FP8, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.	ERNIE-Image TurboBaidu	`FP8`	14.5 GB	12 s	Runs welltight fit
83Great quality (A) · 83 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.	FLUX.2 [klein] 9BBlack Forest Labs	`Q8 GGUF`	12.3 GB	9.2 s	Runs greatencoder in RAM
65Good quality (B) · 65 of 100: how capable the model is at NF4, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	FLUX.1 [schnell]Black Forest Labs	`NF4`	14.4 GB	9.3 s	Runs welltight fit

Best Video models for the HP Z2 Mini G9 16.0 GB

Quality	Model	Quant	Memory	Speed	Runs
49Fair quality (C) · 49 of 100: how capable the model is at FP8, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.	LTX-Video 2BLightricks	`FP8`	10.8 GB	1.6 min	Runs great
44Fair quality (C) · 44 of 100: how capable the model is at FP8, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.	CogVideoX 2BZhipu AI	`FP8`	11.0 GB	3.8 min	Runs great
53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.	Wan 2.1 T2V 1.3BAlibaba	`FP8`	12.8 GB	15.3 min	Slow
53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.	CogVideoX 5BZhipu AI	`FP8`	14.3 GB	11.5 min	Runs welltight fit
53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.	CogVideoX 5B I2VZhipu AI	`FP8`	14.9 GB	11.5 min	Runs welltight fit

Best Decision models for the HP Z2 Mini G9 16.0 GB

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`	2.8 GB	49 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`	2.8 GB	49 ms	Runs great
82Great quality (A) · 82 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.	mxbai-rerank-large v2Mixedbread	`Q8_0`	3.1 GB	106 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	34 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	22 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`	2.8 GB	49 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.	d1 3BLiquid AI	`Q8_0`	4.7 GB	119 ms	Runs great
80Great quality (A) · 80 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.	zerank-1 smallZeroEntropy	`Q8_0`	3.5 GB	118 ms	Runs great

Other products with the NVIDIA RTX 2000 Ada Generation

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APEXX T4BOXX · Workstation · 16 GBProduct page (opens in a new tab)
APEXX T4 PROBOXX · Workstation · 16 GBProduct page (opens in a new tab)
APEXX T4 PRO-XBOXX · Workstation · 4, 8, 16, 24, 32, 48 or 96 GBProduct page (opens in a new tab)
APEXX W3BOXX · Workstation · 16 GBProduct page (opens in a new tab)
APEXX W4BOXX · Workstation · 4, 8, 16, 24, 32, 48 or 96 GBProduct page (opens in a new tab)
Precision 3460 Small Form Factor WorkstationDell · Workstation · 4, 8, 12, 16 or 20 GBProduct page (opens in a new tab)
Precision 5860 Tower WorkstationDell · Workstation · 4, 8, 12, 16, 20, 24, 32, 40 or 48 GBProduct page (opens in a new tab)

Spec sources

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.