Products · Dell · Workstation
Dell Precision 5860 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
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 | 214 of 621 | — |
| NVIDIA RTX A1000 | 8.0 GB | 8.0 GB | 192 GB/s | 337 of 621 | — |
| NVIDIA RTX A2000 12GB | 12.0 GB | 12.0 GB | 288 GB/s | 420 of 621 | — |
| NVIDIA RTX 2000 Ada Generation | 16.0 GB | 16.0 GB | 224 GB/s | 454 of 621 | — |
| NVIDIA RTX A4000 | 16.0 GB | 16.0 GB | 448 GB/s | 459 of 621 | — |
| NVIDIA RTX 4000 Ada Generation | 20.0 GB | 20.0 GB | 360 GB/s | 460 of 621 | — |
| NVIDIA RTX 4500 Ada Generation | 24.0 GB | 24.0 GB | 432 GB/s | 465 of 621 | — |
| NVIDIA RTX 5000 Ada Generation | 32.0 GB | 32.0 GB | 576 GB/s | 488 of 621 | — |
| NVIDIA A800 40GB Active | 40.0 GB | 40.0 GB | 1,555 GB/s | 510 of 621 | — |
| NVIDIA RTX 6000 Ada Generation | 48.0 GB | 48.0 GB | 960 GB/s | 516 of 621 | — |
Specifications 48.0 GB configuration
| Maker | Dell |
|---|---|
| Type | Workstation |
| Chip | NVIDIA RTX 6000 Ada Generation |
| Video memory (VRAM) | 48.0 GB |
| Usable for AI models | 48.0 GB |
| Memory bandwidth | 960 GB/s |
| FP16 compute | 91.1 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 5860 Tower Workstation 48.0 GB
| Quality | Model | Quant | Memory | Speed | Runs |
|---|---|---|---|---|---|
| 93Excellent quality (A+) · 93 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking. | MiniCPM-V 4.7 35B-A3B | Q8_0 | 40.5 GB | 114 tok/s | Runs great |
| 92Excellent quality (A+) · 92 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. | Qwen3.6 35B-A3B | Q6_K | 32.6 GB | 137 tok/s | Runs great |
| 92Excellent quality (A+) · 92 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. | Qwen3.5 35B-A3B | Q6_K | 32.6 GB | 137 tok/s | Runs great |
| 92Excellent quality (A+) · 92 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking. | Gemma 4 26B-A4B | Q8_0 | 30.8 GB | 98.6 tok/s | Runs great |
| 92Excellent quality (A+) · 92 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking. | Nex N2 Mini (35B-A3B) | Q8_0 | 40.4 GB | 114 tok/s | Runs great |
| 91Excellent quality (A+) · 91 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. | KAT-Coder V2.5 Dev (35B-A3B) | Q8_0 | 39.9 GB | 114 tok/s | Runs great |
| 90Excellent quality (A+) · 90 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. | Sage-A1.5 35B-A3B | Q6_K | 32.6 GB | 137 tok/s | Runs great |
| 89Excellent quality (A+) · 89 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. | Flint (40B-A2.5B) | Q6_K | 35.9 GB | 150 tok/s | Runs great |
| 89Excellent quality (A+) · 89 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. | Ornith 1.5 35B-A3B | Q6_K | 32.6 GB | 137 tok/s | Runs great |
| 88Excellent quality (A+) · 88 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking. | Apodex 1.1 Mini (35B-A3B) | Q6_K | 32.6 GB | 137 tok/s | Runs great |
Best Image models for the Dell Precision 5860 Tower Workstation 48.0 GB
| Quality | Model | Quant | Memory | Speed | Runs |
|---|---|---|---|---|---|
| 92Excellent quality (A+) · 92 of 100: how capable the model is at FP16, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking. | Krea 2 Turbo | FP16 | 37.4 GB | 4.0 s | Runs great |
| 87Excellent quality (A+) · 87 of 100: how capable the model is at FP8, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking. | Qwen-Image 2.1 Turbo | FP8 | 30.8 GB | 9.7 s | Runs great |
| 84Great quality (A) · 84 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. | FLUX.2 [klein] 9B | FP16 | 37.1 GB | 1.7 s | Runs great |
| 91Excellent quality (A+) · 91 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. | FLUX 3 Image Klein | FP16 | 22.4 GB | 5.3 s | Runs great |
| 91Excellent quality (A+) · 91 of 100: how capable the model is at FP8, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. | MiniMax H3 Image | FP8 | 38.6 GB | 8.8 s | Runs greatencoder in RAM |
| 85Excellent quality (A+) · 85 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. | ERNIE-Image Turbo | FP16 | 26.4 GB | 3.0 s | Runs great |
Best Video models for the Dell Precision 5860 Tower Workstation 48.0 GB
| Quality | Model | Quant | Memory | Speed | Runs |
|---|---|---|---|---|---|
| 81Great quality (A) · 81 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. | LTX-2.5 (22B, video + audio) | Q4 GGUF | 39.9 GB | 1.7 min | Runs great |
| 84Great quality (A) · 84 of 100: how capable the model is at FP8, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. | LTX-2.3 | FP8 | 44.3 GB | 5.6 min | Runs welltight fit |
| 80Great quality (A) · 80 of 100: how capable the model is at FP8, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. | LTX-2 (19B, video + audio) | FP8 | 44.3 GB | 5.6 min | Runs welltight fit |
| 66Good quality (B) · 66 of 100: how capable the model is at FP8, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. | LTX-Video 13B 0.9.8 (distilled) | FP8 | 30.1 GB | 50 s | Runs great |
| 84Great quality (A) · 84 of 100: how capable the model is at FP8, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. | Wan 2.2 I2V A14B | FP8 | 38.3 GB | 22.3 min | Slow |
Best Decision models for the Dell Precision 5860 Tower Workstation 48.0 GB
| Quality | Model | Quant | Memory | Speed | Runs |
|---|---|---|---|---|---|
| 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 4B | F16 | 11.3 GB | 50 ms | Runs great |
| 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 8B | F16 | 19.7 GB | 98 ms | Runs great |
| 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. | zerank-2 | F16 | 11.3 GB | 50 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 v3.5 | F16 | 4.4 GB | 11 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. | Shieldstral 1.0 3B | F16 | 10.9 GB | 48 ms | Runs great |
| 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. | Skywork Reward V2 Llama 3.1 8B | Q8_0 | 10.4 GB | 131 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 4B | F16 | 12.1 GB | 38 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 v3 | F16 | 4.4 GB | 11 ms | Runs great |
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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.