Lenovo ThinkStation P5 Workstation

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Lenovo ThinkStation P5 Workstation

Chips
10 GPU options, from NVIDIA RTX A400 to NVIDIA RTX 6000 Ada Generation
VRAM
4, 8, 12, 16, 20, 24 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 RTX A400 4.0 GB 4.0 GB 96 GB/s 215 of 622 —
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 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 2000 Ada Generation 16.0 GB 16.0 GB 224 GB/s 455 of 622 —
NVIDIA RTX A4500 20.0 GB 20.0 GB 640 GB/s 461 of 622 —
NVIDIA RTX A5500 24.0 GB 24.0 GB 768 GB/s 466 of 622 —
NVIDIA RTX A6000 48.0 GB 48.0 GB 768 GB/s 516 of 622 —
NVIDIA RTX 6000 Ada Generation 48.0 GB 48.0 GB 960 GB/s 517 of 622 —

Specifications 4.0 GB configuration

MakerLenovo
TypeWorkstation
ChipNVIDIA T400
Video memory (VRAM)4.0 GB
Usable for AI models4.0 GB
Memory bandwidth80 GB/s
FP16 compute1.1 TFLOPS
NotesWorkstation with NVIDIA RTX professional graphics; each option below is a GPU you can configure. Listed on the NVIDIA Marketplace.
Product pagewww.lenovo.com (opens in a new tab)

Best LLMs for the Lenovo ThinkStation P5 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 Lenovo ThinkStation P5 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 Lenovo ThinkStation P5 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 Lenovo ThinkStation P5 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

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.

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