Exxact TensorEX Rackmount Workstation - TWS-154715021

Configurations

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

Specifications 94.0 GB configuration

Maker	EExxact
Type	Workstation
Chip	NVIDIA H100 NVL
Video memory (VRAM)	94.0 GB
Usable for AI models	94.0 GB
Memory bandwidth	3,900 GB/s
FP16 compute	120.0 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 TensorEX Rackmount Workstation - TWS-154715021 94.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A+95Excellent quality (A+) · 95 of 100: how capable the model is at F16, whatever it runs on. Match score 97/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.8 27BAlibaba	F16	61.4 GB	40.4 tok/s	Runs great
A+94Excellent quality (A+) · 94 of 100: how capable the model is at F16, whatever it runs on. Match score 97/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.6 27BAlibaba	F16	61.4 GB	40.4 tok/s	Runs great
A+93Excellent quality (A+) · 93 of 100: how capable the model is at F16, whatever it runs on. Match score 97/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.6 35B-A3BAlibaba	F16	77.4 GB	142 tok/s	Runs great
A+93Excellent quality (A+) · 93 of 100: how capable the model is at F16, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking.	OBMiniCPM-V 4.7 35B-A3BOpenBMB	F16	75.9 GB	142 tok/s	Runs great
A+93Excellent quality (A+) · 93 of 100: how capable the model is at F16, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 27BAlibaba	F16	61.4 GB	40.4 tok/s	Runs great
A+93Excellent quality (A+) · 93 of 100: how capable the model is at F16, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 35B-A3BAlibaba	F16	77.4 GB	142 tok/s	Runs great
A+92Excellent quality (A+) · 92 of 100: how capable the model is at F16, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking.	NANex N2 Mini (35B-A3B)Nex-AGI	F16	75.7 GB	142 tok/s	Runs great
A+91Excellent quality (A+) · 91 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking.	Nemotron 3.5 Bolt 74B-A9BNVIDIA	Q6_K	66.8 GB	158 tok/s	Runs great
A+91Excellent quality (A+) · 91 of 100: how capable the model is at F16, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.	KKAT-Coder V2.5 Dev (35B-A3B)Kuaishou	F16	74.8 GB	142 tok/s	Runs great
A+91Excellent quality (A+) · 91 of 100: how capable the model is at F16, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.	ISSage-A1.5 35B-A3BInternScience	F16	77.4 GB	142 tok/s	Runs great

Best Image models for the Exxact TensorEX Rackmount Workstation - TWS-154715021 94.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A+91Excellent quality (A+) · 91 of 100: how capable the model is at FP8, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking.	MMMiniMax H3 ImageMiniMax	FP8	72.0 GB	6.8 s	Runs great
A+86Excellent quality (A+) · 86 of 100: how capable the model is at FP16, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	AGMing-Image 0.1 DesignAnt Group (inclusionAI)	FP16	63.9 GB	12 s	Runs great
A+89Excellent quality (A+) · 89 of 100: how capable the model is at FP16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.	Qwen-Image 2.1 TurboAlibaba	FP16	46.7 GB	8.8 s	Runs great
A+92Excellent quality (A+) · 92 of 100: how capable the model is at FP16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.	IIdeogram 4Ideogram	FP16	57.3 GB	19 s	Runs well
A+92Excellent quality (A+) · 92 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.	KKrea 2 TurboKrea	FP16	37.4 GB	3.2 s	Runs great
A+90Excellent quality (A+) · 90 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.	BFFLUX.2 [dev]Black Forest Labs	FP8	59.7 GB	24 s	Runs well

Best Video models for the Exxact TensorEX Rackmount Workstation - TWS-154715021 94.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A+87Excellent quality (A+) · 87 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.	LLTX-2.5 (22B, video + audio)Lightricks	Q8 GGUF	49.8 GB	79 s	Runs great
A+86Excellent quality (A+) · 86 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.	LLTX-2.3Lightricks	FP16	75.4 GB	5.0 min	Runs well
A82Great quality (A) · 82 of 100: how capable the model is at FP16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	LLTX-2 (19B, video + audio)Lightricks	FP16	75.4 GB	5.0 min	Runs well
A+88Excellent quality (A+) · 88 of 100: how capable the model is at FP8, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.	MMMiniMax H3 (33B, video + audio)MiniMax	FP8	66.8 GB	11.8 min	Runs well
A+86Excellent quality (A+) · 86 of 100: how capable the model is at FP16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.	Wan 2.2 I2V A14BAlibaba	FP16	58.0 GB	20.2 min	Slow

Best Decision models for the Exxact TensorEX Rackmount Workstation - TWS-154715021 94.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A+90Excellent quality (A+) · 90 of 100: how capable the model is at F16, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3 Reranker 4BAlibaba	F16	13.6 GB	31 ms	Runs great
A+90Excellent quality (A+) · 90 of 100: how capable the model is at F16, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3 Reranker 8BAlibaba	F16	22.0 GB	60 ms	Runs great
A+90Excellent quality (A+) · 90 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.	SSkywork Reward V2 Llama 3.1 8BSkywork	Q8_0	10.4 GB	101 ms	Runs great
A+88Excellent quality (A+) · 88 of 100: how capable the model is at F16, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.	ZEzerank-2ZeroEntropy	F16	13.6 GB	31 ms	Runs great
A+86Excellent quality (A+) · 86 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.	FGLiDE 27BFastino	Q8_0	34.8 GB	88 ms	Runs great
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	6.7 GB	8.1 ms	Runs great
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.	Shieldstral 1.0 3BMistral AI	F16	13.2 GB	30 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.	SAIntern-Decision 4BShanghai AI Lab	F16	14.4 GB	21 ms	Runs great