Products · Dell · Workstation

Dell Precision 7875 Tower Workstation

Chips: 10 GPU options, from NVIDIA T400 to NVIDIA RTX 6000 Ada Generation
VRAM: 4, 8, 12, 16, 20, 24, 32, 40 or 48 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 RTX A1000	8.0 GB	8.0 GB	192 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 A4000	16.0 GB	16.0 GB	448 GB/s	460 of 622	—
NVIDIA RTX 4000 Ada Generation	20.0 GB	20.0 GB	360 GB/s	461 of 622	—
NVIDIA RTX 4500 Ada Generation	24.0 GB	24.0 GB	432 GB/s	466 of 622	—
NVIDIA RTX 5000 Ada Generation	32.0 GB	32.0 GB	576 GB/s	489 of 622	—
NVIDIA A800 40GB Active	40.0 GB	40.0 GB	1,555 GB/s	511 of 622	—
NVIDIA RTX 6000 Ada Generation	48.0 GB	48.0 GB	960 GB/s	517 of 622	—

Specifications 4.0 GB configuration

Maker	Dell
Type	Workstation
Chip	NVIDIA T400
Video memory (VRAM)	4.0 GB
Usable for AI models	4.0 GB
Memory bandwidth	80 GB/s
FP16 compute	1.1 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.dell.com (opens in a new tab)

Best LLMs for the Dell Precision 7875 Tower Workstation 4.0 GB

Quality	Model	Quant	Memory	Speed	Runs
58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 E2BGoogle	`Q4_K_M`	4.0 GB	42.7 tok/s	Runs welltight fit
57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	MiniCPM5 2BOpenBMB	`Q4_K_M`	2.7 GB	39.0 tok/s	Runs great
64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.	Nemotron Labs Dory 1.0 4BNVIDIA	`Q4_K_M`	3.7 GB	24.7 tok/s	Runs welltight fit
62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.	Spark-X2.6 4BSparkLLM	`Q4_K_M`	3.6 GB	23.9 tok/s	Runs welltight fit
55Good quality (B) · 55 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.	LFM3 1.7BLiquid AI	`Q6_K`	2.3 GB	39.4 tok/s	Runs great
57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	TMax 4BAi2	`Q4_K_M`	3.6 GB	23.3 tok/s	Runs welltight fit
58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 4BAlibaba	`Q4_K_M`	3.9 GB	21.1 tok/s	Runs welltight fit
57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.	Agents-A1 4BInternScience	`Q4_K_M`	3.8 GB	21.6 tok/s	Runs welltight fit
47Fair quality (C) · 47 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.	Nanbeige4.2 3BBOSS Zhipin (Nanbeige)	`Q2_K`	3.9 GB	38.7 tok/s	Runs welltight fit
48Fair quality (C) · 48 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.	LFM3-VL 2BLiquid AI	`Q5_K_M`	2.3 GB	42.3 tok/s	Runs great

Best Image models for the Dell Precision 7875 Tower Workstation 4.0 GB

Quality	Model	Quant	Memory	Speed	Runs
30Basic quality (D) · 30 of 100: how capable the model is at FP16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.	LCM DreamShaper v7Tsinghua (LCM)	`FP16`	2.8 GB	6.4 s	Runs great
84Great quality (A) · 84 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.	FLUX 3 Image KleinBlack Forest Labs	`Q4 GGUF`	3.4 GB	3.8 min	Very slowCPU offload
76Great quality (A) · 76 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.	FLUX.2 [klein] 4BBlack Forest Labs	`FP8`	3.5 GB	30 s	Runs welltight fit · CPU offload
28Basic quality (D) · 28 of 100: how capable the model is at FP16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.	SD TurboStability AI	`FP16`	3.3 GB	2.1 s	Runs great
42Fair quality (C) · 42 of 100: how capable the model is at FP16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.	Realistic Vision V5.1SG161222	`FP16`	2.8 GB	31 s	Runs well
40Fair quality (C) · 40 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.	DreamShaper 8Lykon	`FP16`	2.8 GB	31 s	Runs well

Best Video models for the Dell Precision 7875 Tower Workstation 4.0 GB

Quality	Model	Quant	Memory	Speed	Runs
35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking.	AnimateDiff v3 (SD 1.5)Shanghai AI Lab	`FP16`	2.6 GB	11.1 min	Runs wellCPU offload

Best Decision models for the Dell Precision 7875 Tower Workstation 4.0 GB

Quality	Model	Quant	Memory	Speed	Runs
78Great quality (A) · 78 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.	OpenAI Privacy FilterOpenAI	`Q8_0`	2.4 GB	22 ms	Runs great
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.	GLiNER2.5 DecideFastino	`Q8_0`	1.2 GB	178 ms	Runs well
86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.	Jina Reranker v3.5Jina AI	`Q8_0`	1.7 GB	407 ms	Slow
70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.	GTE Reranker ModernBERT BaseAlibaba	`Q8_0`	0.8 GB	110 ms	Runs great
74Great quality (A) · 74 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.	GLiClass ModernBERT Large v3Knowledgator	`Q8_0`	1.1 GB	146 ms	Runs well
68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.	Llama Prompt Guard 2 22MMeta	`F16`	0.8 GB	62 ms	Runs great
84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.	Jina Reranker v3Jina AI	`Q8_0`	1.7 GB	407 ms	Slow
68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.	Granite Embedding Reranker English R2IBM	`Q8_0`	0.8 GB	110 ms	Runs great

Other products with the NVIDIA T400

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)
Precision 7960 Rack WorkstationDell · Workstation · 4, 16, 20, 24, 32, 40 or 48 GBProduct page (opens in a new tab)
Precision 7960 Tower WorkstationDell · Workstation · 4, 8, 12, 16, 20, 24, 32, 40 or 48 GBProduct page (opens in a new tab)
Z2 Mini G9HP · Workstation · 4, 8, 12, 16 or 20 GBProduct page (opens in a new tab)
Z2 SFF G9HP · Workstation · 4, 8, 12, 16 or 20 GBProduct page (opens in a new tab)
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)

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.