Exxact Valence Workstation - VWS-130523500

Configurations

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

Specifications 24.0 GB configuration

Maker	EExxact
Type	Workstation
Chip	NVIDIA RTX PRO 4000 Blackwell SFF Edition
Video memory (VRAM)	24.0 GB
Usable for AI models	24.0 GB
Memory bandwidth	432 GB/s
FP16 compute	24.0 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.exxactcorp.com (opens in a new tab)

Best LLMs for the Exxact Valence Workstation - VWS-130523500 24.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A+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	71.8 tok/s	Runs welltight fit
A+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	111 tok/s	Runs welltight fit
A+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.	OBMiniCPM-V 4.7 35B-A3BOpenBMB	Q4_K_M	23.4 GB	111 tok/s	Runs welltight fit
A+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	111 tok/s	Runs welltight fit
A+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.	NANex N2 Mini (35B-A3B)Nex-AGI	Q4_K_M	23.4 GB	111 tok/s	Runs welltight fit
A+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.	KKAT-Coder V2.5 Dev (35B-A3B)Kuaishou	Q4_K_M	23.1 GB	111 tok/s	Runs welltight fit
A+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.	ISSage-A1.5 35B-A3BInternScience	Q4_K_M	23.9 GB	111 tok/s	Runs welltight fit
A83Great 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.	KRRaon-1 mini Preview (30B-A4B)KRAFTON	Q4_K_M	19.4 GB	87.2 tok/s	Runs great
A+85Excellent quality (A+) · 85 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.	DROrnith 1.5 35B-A3BDeepReinforce	Q4_K_M	23.9 GB	111 tok/s	Runs welltight fit
A84Great quality (A) · 84 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.	AApodex 1.1 Mini (35B-A3B)Apodex	Q4_K_M	23.9 GB	111 tok/s	Runs welltight fit

Best Image models for the Exxact Valence Workstation - VWS-130523500 24.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A+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.	KKrea 2 TurboKrea	FP8	20.2 GB	9.8 s	Runs great
A84Great 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.	BERNIE-Image TurboBaidu	Q8 GGUF	15.0 GB	9.3 s	Runs great
A82Great 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.	BFFLUX.2 [klein] 9BBlack Forest Labs	FP8	19.9 GB	4.1 s	Runs great
A+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.	BFFLUX 3 Image KleinBlack Forest Labs	FP8	12.4 GB	13 s	Runs great
A78Great 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.	BFFLUX.2 [klein] 4BBlack Forest Labs	FP16	18.1 GB	2.5 s	Runs great
A83Great 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	7.3 s	Runs great

Best Video models for the Exxact Valence Workstation - VWS-130523500 24.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A+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.	LLTX-2.5 (22B, video + audio)Lightricks	FP8	19.7 GB	4.5 min	Runs wellCPU offload
C50Fair 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.	LLTX-Video 2BLightricks	FP16	17.5 GB	63 s	Runs great
A83Great 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.	BDBernini-R A14B (video generation + editing)ByteDance	FP8	20.3 GB	28.7 min	Slowencoder in RAM
C45Fair 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.	ZACogVideoX 2BZhipu AI	FP16	17.5 GB	2.5 min	Runs great
A74Great quality (A) · 74 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.	THY-OmniWeaving (8.3B, unified video)Tencent	FP8	15.7 GB	21.1 min	Slowencoder in RAM

Best Decision models for the Exxact Valence Workstation - VWS-130523500 24.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A+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.	JAJina Reranker v3.5Jina AI	F16	3.2 GB	27 ms	Runs great
A+90Excellent quality (A+) · 90 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.	Qwen3 Reranker 4BAlibaba	Q8_0	6.4 GB	138 ms	Runs well
A84Great quality (A) · 84 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.	SAIntern-Decision 4BShanghai AI Lab	Q8_0	6.7 GB	88 ms	Runs great
A84Great 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.	JAJina Reranker v3Jina AI	F16	3.2 GB	27 ms	Runs great
A+88Excellent quality (A+) · 88 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.	ZEzerank-2ZeroEntropy	Q8_0	6.4 GB	138 ms	Runs well
A82Great 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.	LAd1 3BLiquid AI	F16	8.1 GB	75 ms	Runs great
A82Great 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.	Mmxbai-rerank-large v2Mixedbread	F16	4.9 GB	62 ms	Runs great
A+86Excellent quality (A+) · 86 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.	Shieldstral 1.0 3BMistral AI	Q8_0	6.1 GB	132 ms	Runs great

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