What AI models can the NVIDIA RTX A5000 run?

VRAM: 24.0 GB
Usable for models: 24.0 GB
Memory bandwidth: 768 GB/s
FP16 compute: 27.8 TFLOPS
Released: 2021
Launch price: $2,250

496 / 622 LLMs run Best: Gemma 4 26B-A4B 58 / 61 Image models run Best: Krea 2 Turbo 31 / 43 Video models run Best: LTX-2.5 (22B, video + audio) 68 / 70 Decision models run Best: Qwen3 Reranker 4B

More about this hardware

Maker	NVIDIA
Type	Workstation / datacenter graphics card
Interface	PCIe 4.0

Apps that run models well on the NVIDIA RTX A5000

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

15 products with the NVIDIA RTX A5000

Z2 Tower G9HP · Workstation · 4, 8, 12, 16, 20, 24 or 32 GBProduct page (opens in a new tab)
Z4 G5HP · Workstation · 4, 8, 12, 16, 20, 24, 32 or 48 GBProduct page (opens in a new tab)
Z6 G5HP · Workstation · 4, 8, 12, 16, 20, 24, 32 or 48 GBProduct page (opens in a new tab)
Z6 G5 AHP · Workstation · 4, 8, 12, 16, 20, 24, 32 or 48 GBProduct page (opens in a new tab)
Z8 Fury G5HP · Workstation · 4, 8, 12, 16, 20, 24, 32 or 48 GBProduct page (opens in a new tab)
Z8 G5HP · Workstation · 4, 8, 12, 16, 20, 24, 32 or 48 GBProduct page (opens in a new tab)
ThinkStation P620 Tower WorkstationLenovo · Workstation · 4, 8, 12, 16, 20, 24 or 48 GBProduct page (opens in a new tab)
A+ Workstation AS-5014A-TTSupermicro · Workstation · 4, 8, 12, 16, 20, 24 or 48 GBProduct page (opens in a new tab)
SuperWorkstation SYS-530A-ILSupermicro · Workstation · 8, 12, 16, 20, 24 or 48 GBProduct page (opens in a new tab)
SuperWorkstation SYS-531A-ILSupermicro · Workstation · 8, 12, 16, 20, 24 or 48 GBProduct page (opens in a new tab)
SuperWorkstation SYS-540A-TRSupermicro · Workstation · 16, 24 or 48 GBProduct page (opens in a new tab)
SuperWorkstation SYS-551A-TSupermicro · Workstation · 4, 8, 12, 16, 20, 24, 48 or 96 GBProduct page (opens in a new tab)
SuperWorkstation SYS-730A-ISupermicro · Workstation · 16, 24, 32 or 48 GBProduct page (opens in a new tab)
SuperWorkstation SYS-740A-TSupermicro · Workstation · 16, 24, 32 or 48 GBProduct page (opens in a new tab)
SuperWorkstation SYS-751A-ISupermicro · Workstation · 4, 8, 12, 16, 20, 24 or 48 GBProduct page (opens in a new tab)

Best LLMs for the NVIDIA RTX A5000

Quality	Model	Quant	Memory	Speed	Runs
91Excellent quality (A+) · 91 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 26B-A4BGoogle	`Q6_K`	23.4 GB	106 tok/s	Runs welltight fit
90Excellent quality (A+) · 90 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.8 27BAlibaba	`Q4_K_M`	19.3 GB	33.9 tok/s	Runs great
89Excellent quality (A+) · 89 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.6 27BAlibaba	`Q4_K_M`	19.3 GB	33.9 tok/s	Runs great
88Excellent quality (A+) · 88 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.6 35B-A3BAlibaba	`Q4_K_M`	23.9 GB	153 tok/s	Runs welltight fit
88Excellent quality (A+) · 88 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.	MiniCPM-V 4.7 35B-A3BOpenBMB	`Q4_K_M`	23.4 GB	153 tok/s	Runs welltight fit
88Excellent quality (A+) · 88 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 35B-A3BAlibaba	`Q4_K_M`	23.9 GB	153 tok/s	Runs welltight fit
88Excellent quality (A+) · 88 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 27BAlibaba	`Q4_K_M`	19.3 GB	33.9 tok/s	Runs great
87Excellent quality (A+) · 87 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.	Nex N2 Mini (35B-A3B)Nex-AGI	`Q4_K_M`	23.4 GB	153 tok/s	Runs welltight fit
86Excellent quality (A+) · 86 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	KAT-Coder V2.5 Dev (35B-A3B)Kuaishou	`Q4_K_M`	23.1 GB	153 tok/s	Runs welltight fit
86Excellent quality (A+) · 86 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	Sage-A1.5 35B-A3BInternScience	`Q4_K_M`	23.9 GB	153 tok/s	Runs welltight fit
87Excellent quality (A+) · 87 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	Muse Glimmer 30BMeta	`Q4_K_M`	20.1 GB	31.7 tok/s	Runs great
83Great quality (A) · 83 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	Raon-1 mini Preview (30B-A4B)KRAFTON	`Q4_K_M`	19.4 GB	126 tok/s	Runs great

Best Image models for the NVIDIA RTX A5000

Quality	Model	Quant	Memory	Speed	Runs
90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.	Krea 2 TurboKrea	`FP8`	20.2 GB	8.8 s	Runs great
84Great quality (A) · 84 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	ERNIE-Image TurboBaidu	`Q8 GGUF`	15.0 GB	8.3 s	Runs great
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.	FLUX.2 [klein] 9BBlack Forest Labs	`FP8`	19.9 GB	3.7 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	12 s	Runs great
78Great quality (A) · 78 of 100: how capable the model is at FP16, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.	FLUX.2 [klein] 4BBlack Forest Labs	`FP16`	18.1 GB	2.3 s	Runs great
83Great quality (A) · 83 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.	Z-Image TurboAlibaba (Tongyi)	`Q8 GGUF`	13.0 GB	6.5 s	Runs great

Best Video models for the NVIDIA RTX A5000

Quality	Model	Quant	Memory	Speed	Runs
86Excellent quality (A+) · 86 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.	LTX-2.5 (22B, video + audio)Lightricks	`FP8`	19.7 GB	4.0 min	Runs wellCPU offload
83Great quality (A) · 83 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.	Bernini-R A14B (video generation + editing)ByteDance	`FP8`	20.3 GB	25.7 min	Slowencoder in RAM
50Fair quality (C) · 50 of 100: how capable the model is at FP16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.	LTX-Video 2BLightricks	`FP16`	17.5 GB	57 s	Runs great
45Fair quality (C) · 45 of 100: how capable the model is at FP16, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.	CogVideoX 2BZhipu AI	`FP16`	17.5 GB	2.3 min	Runs great
72Great quality (A) · 72 of 100: how capable the model is at FP8, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.	FramePack I2V (HunyuanVideo 13B)lllyasviel	`FP8`	19.6 GB	14.3 min	Slowencoder in RAM

Best Decision models for the NVIDIA RTX A5000

Quality	Model	Quant	Memory	Speed	Runs
90Excellent quality (A+) · 90 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3 Reranker 4BAlibaba	`Q8_0`	6.4 GB	115 ms	Runs great
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`	3.2 GB	22 ms	Runs great
88Excellent quality (A+) · 88 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.	zerank-2ZeroEntropy	`Q8_0`	6.4 GB	115 ms	Runs great
86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	Shieldstral 1.0 3BMistral AI	`Q8_0`	6.1 GB	111 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.	Intern-Decision 4BShanghai AI Lab	`F16`	10.9 GB	83 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`	3.2 GB	22 ms	Runs great
82Great quality (A) · 82 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.	d1 3BLiquid AI	`F16`	8.1 GB	58 ms	Runs great
82Great quality (A) · 82 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.	mxbai-rerank-large v2Mixedbread	`F16`	4.9 GB	50 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.