Products · Supermicro · Workstation

Supermicro SuperWorkstation SYS-551A-T

Chips: 10 GPU options, from NVIDIA T400 to NVIDIA RTX PRO 6000 Blackwell
VRAM: 4, 8, 12, 16, 20, 24, 48 or 96 GB
Released: 2025

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 A4000	16.0 GB	16.0 GB	448 GB/s	460 of 622	—
NVIDIA RTX A4500	20.0 GB	20.0 GB	640 GB/s	461 of 622	—
NVIDIA RTX A5000	24.0 GB	24.0 GB	768 GB/s	466 of 622	—
NVIDIA RTX A5500	24.0 GB	24.0 GB	768 GB/s	466 of 622	—
NVIDIA RTX 6000 Ada Generation	48.0 GB	48.0 GB	960 GB/s	517 of 622	—
NVIDIA RTX A6000	48.0 GB	48.0 GB	768 GB/s	516 of 622	—
NVIDIA RTX PRO 6000 Blackwell	96.0 GB	96.0 GB	1,792 GB/s	547 of 622	—

Specifications 8.0 GB configuration

Maker	Supermicro
Type	Workstation
Chip	NVIDIA T1000 8GB
Video memory (VRAM)	8.0 GB
Usable for AI models	8.0 GB
Memory bandwidth	160 GB/s
FP16 compute	2.5 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.supermicro.com (opens in a new tab)

Best LLMs for the Supermicro SuperWorkstation SYS-551A-T 8.0 GB

Quality	Model	Quant	Memory	Speed	Runs
66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.	Nemotron 3.5 Bolt E4BNVIDIA	`Q4_K_M`	6.0 GB	43.6 tok/s	Runs great
65Good quality (B) · 65 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.	Nanbeige4.2 3BBOSS Zhipin (Nanbeige)	`Q5_K_M`	5.4 GB	38.9 tok/s	Runs great
76Great quality (A) · 76 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.	K2 Horizon 7BInstitute of Foundation Models	`Q4_K_M`	7.7 GB	21.8 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 84/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 E4BGoogle	`Q4_K_M`	6.0 GB	43.6 tok/s	Runs great
74Great quality (A) · 74 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.	MiMo V2.6 Distill Qwen 9BXiaomi	`Q4_K_M`	7.0 GB	20.9 tok/s	Runs welltight fit
74Great quality (A) · 74 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.	SenseNova Loop 9B PreviewSenseTime	`Q4_K_M`	7.4 GB	20.3 tok/s	Runs welltight fit
62Good quality (B) · 62 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 E2BGoogle	`Q8_0`	6.5 GB	43.5 tok/s	Runs great
70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	TMax 9BAi2	`Q4_K_M`	6.7 GB	21.9 tok/s	Runs well
73Great quality (A) · 73 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	Ornith 1.5 9BDeepReinforce	`Q4_K_M`	7.2 GB	20.4 tok/s	Runs welltight fit
72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 9BAlibaba	`Q4_K_M`	7.2 GB	20.4 tok/s	Runs welltight fit

Best Image models for the Supermicro SuperWorkstation SYS-551A-T 8.0 GB

Quality	Model	Quant	Memory	Speed	Runs
76Great quality (A) · 76 of 100: how capable the model is at FP8, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	FLUX.2 [klein] 4BBlack Forest Labs	`FP8`	6.2 GB	13 s	Runs greatencoder in RAM
52Fair quality (C) · 52 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.	SDXL-Lightning (4-step)ByteDance	`FP8`	5.6 GB	8.7 s	Runs great
84Great quality (A) · 84 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.	FLUX 3 Image KleinBlack Forest Labs	`Q4 GGUF`	5.7 GB	1.6 min	Slowencoder in RAM
56Good quality (B) · 56 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.	DreamShaper XL v2 TurboLykon	`FP8`	5.6 GB	16 s	Runs well
78Great quality (A) · 78 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.	Z-Image TurboAlibaba (Tongyi)	`Q4 GGUF`	6.1 GB	43 s	Slowencoder in RAM
79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.	ERNIE-Image TurboBaidu	`Q4 GGUF`	7.4 GB	56 s	Slowtight fit · encoder in RAM

Best Video models for the Supermicro SuperWorkstation SYS-551A-T 8.0 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 68/100 (quality, fit, speed and memory use) sets the ranking.	LTX-Video 2BLightricks	`FP8`	6.1 GB	5.4 min	Runs wellencoder in RAM
35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.	AnimateDiff v3 (SD 1.5)Shanghai AI Lab	`FP16`	4.7 GB	4.6 min	Runs well
44Fair quality (C) · 44 of 100: how capable the model is at FP8, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.	CogVideoX 2BZhipu AI	`FP8`	6.2 GB	13.0 min	Slowencoder in RAM
53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.	Wan 2.1 T2V 1.3BAlibaba	`FP8`	7.1 GB	52.1 min	Very slowtight fit · encoder in RAM
53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.	CogVideoX 5BZhipu AI	`FP8`	5.9 GB	48.4 min	Very slowCPU offload

Best Decision models for the Supermicro SuperWorkstation SYS-551A-T 8.0 GB

Quality	Model	Quant	Memory	Speed	Runs
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	91 ms	Runs great
86Excellent quality (A+) · 86 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.	Jina Reranker v3.5Jina AI	`Q8_0`	1.9 GB	181 ms	Runs well
76Great quality (A) · 76 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.	Llama Prompt Guard 2 86MMeta	`Q8_0`	1.0 GB	91 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.	FRIDA-DecisionsSber AI	`Q8_0`	1.7 GB	131 ms	Runs great
84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	Jina Reranker v3Jina AI	`Q8_0`	1.9 GB	181 ms	Runs well
74Great quality (A) · 74 of 100: how capable the model is at F16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	GLiClass ModernBERT Large v3Knowledgator	`F16`	1.5 GB	75 ms	Runs great
78Great quality (A) · 78 of 100: how capable the model is at F16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	OpenAI Privacy FilterOpenAI	`F16`	3.8 GB	13 ms	Runs great
72Great quality (A) · 72 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.	DeBERTa v3 Large Zero-shot v2.0Moritz Laurer	`F16`	1.6 GB	82 ms	Runs great

Other products with the NVIDIA T1000 8GB

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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)
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ThinkStation P5 WorkstationLenovo · Workstation · 4, 8, 12, 16, 20, 24 or 48 GBProduct page (opens in a new tab)
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ThinkStation P7 WorkstationLenovo · Workstation · 4, 8, 12, 16, 20, 24 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.