
Products · Microsoft · Laptop
Microsoft Surface Laptop Ultra
- Chips
- NVIDIA RTX Spark N1X (5120-core GPU) or NVIDIA RTX Spark N1X (6144-core GPU)
- Unified memory
- 24, 32, 48 or 128 GB
- Released
- 2026
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 Spark N1X (5120-core GPU) · 18-core CPU | 24.0 GB | 12.0 GB | 300 GB/s | 373 of 619 | — |
| NVIDIA RTX Spark N1X (5120-core GPU) · 18-core CPU | 32.0 GB | 16.0 GB | 300 GB/s | 448 of 619 | — |
| NVIDIA RTX Spark N1X (6144-core GPU) · 20-core CPU | 32.0 GB | 16.0 GB | 300 GB/s | 448 of 619 | — |
| NVIDIA RTX Spark N1X (6144-core GPU) · 20-core CPU | 48.0 GB | 32.2 GB | 300 GB/s | 466 of 619 | — |
| NVIDIA RTX Spark N1X (6144-core GPU) · 20-core CPU | 128 GB | 102 GB | 300 GB/s | 512 of 619 | — |
Specifications 32.0 GB configuration
| Maker | Microsoft |
|---|---|
| Type | Laptop |
| Chip | NVIDIA RTX Spark N1X (5120-core GPU) (32 GB) · 18-core CPU |
| Unified memory | 32.0 GB |
| Usable for AI models | 16.0 GB |
| Memory bandwidth | 300 GB/s |
| FP16 compute | 24.0 TFLOPS |
| Notes | 15" 3270x2180. NVIDIA RTX Spark N1X with unified LPDDR5X; Windows on Arm. Listed on the NVIDIA Marketplace. |
| Product page | marketplace.nvidia.com (opens in a new tab) |
Best LLMs for the Microsoft Surface Laptop Ultra 32.0 GB
| Quality | Model | Quant | Memory | Speed | Runs |
|---|---|---|---|---|---|
| 77Great quality (A) · 77 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. | Gemma 4 26B-A4B | Q3_K_M | 14.9 GB | 89.1 tok/s | Runs welltight fit |
| 78Great quality (A) · 78 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. | Gemma 4 12B | Q4_K_M | 9.8 GB | 30.8 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 86/100 (quality, fit, speed and memory use) sets the ranking. | K2 Horizon 7B | Q4_K_M | 8.6 GB | 40.9 tok/s | Runs great |
| 70Great quality (A) · 70 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. | Nemotron 3.5 Bolt E4B | Q8_0 | 10.5 GB | 41.7 tok/s | Runs great |
| 69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. | Mellum2.1 Thinking (12B-A2.5B) | Q6_K | 12.0 GB | 74.7 tok/s | Runs great |
| 68Good quality (B) · 68 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. | Gemma 4 E4B | Q8_0 | 10.5 GB | 41.7 tok/s | Runs great |
| 70Great quality (A) · 70 of 100: how capable the model is at MXFP4, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. | gpt-oss 20B | MXFP4 | 14.0 GB | 80.0 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 84/100 (quality, fit, speed and memory use) sets the ranking. | SenseNova Loop 9B Preview | Q4_K_M | 8.2 GB | 38.1 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 84/100 (quality, fit, speed and memory use) sets the ranking. | MiMo V2.6 Distill Qwen 9B | Q4_K_M | 7.9 GB | 39.1 tok/s | Runs great |
| 73Great quality (A) · 73 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. | Ornith 1.5 9B | Q4_K_M | 8.0 GB | 38.2 tok/s | Runs great |
Best Image models for the Microsoft Surface Laptop Ultra 32.0 GB
| Quality | Model | Quant | Memory | Speed | Runs |
|---|---|---|---|---|---|
| 89Excellent quality (A+) · 89 of 100: how capable the model is at FP8, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking. | FLUX 3 Image Klein | FP8 | 12.4 GB | 13 s | Runs great |
| 83Great quality (A) · 83 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. | Z-Image Turbo | Q8 GGUF | 13.0 GB | 7.3 s | Runs great |
| 84Great quality (A) · 84 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. | ERNIE-Image Turbo | Q8 GGUF | 15.0 GB | 9.3 s | Runs welltight fit |
| 77Great quality (A) · 77 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. | FLUX.2 [klein] 4B | Q8 GGUF | 10.5 GB | 2.9 s | Runs great |
| 83Great quality (A) · 83 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. | FLUX.2 [klein] 9B | Q8 GGUF | 12.3 GB | 5.5 s | Runs greatencoder unloaded after use |
| 80Great quality (A) · 80 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. | Z-Image | FP8 | 12.6 GB | 39 s | Runs well |
Best Video models for the Microsoft Surface Laptop Ultra 32.0 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 77/100 (quality, fit, speed and memory use) sets the ranking. | LTX-Video 2B | FP8 | 10.8 GB | 57 s | Runs great |
| 44Fair quality (C) · 44 of 100: how capable the model is at FP8, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. | CogVideoX 2B | FP8 | 11.0 GB | 2.3 min | Runs great |
| 53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. | Wan 2.1 T2V 1.3B | FP8 | 12.8 GB | 9.1 min | Runs well |
| 53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. | CogVideoX 5B | FP8 | 14.3 GB | 6.8 min | Runs welltight fit |
| 53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. | CogVideoX 5B I2V | FP8 | 14.9 GB | 6.8 min | Runs welltight fit |
Best Decision models for the Microsoft Surface Laptop Ultra 32.0 GB
| Quality | Model | Quant | Memory | Speed | Runs |
|---|---|---|---|---|---|
| 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 | 3.3 GB | 29 ms | Runs great |
| 90Excellent quality (A+) · 90 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. | Qwen3 Reranker 4B | Q8_0 | 6.4 GB | 145 ms | Runs well |
| 84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. | Intern-Decision 4B | Q8_0 | 6.8 GB | 95 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 | 3.3 GB | 29 ms | Runs great |
| 88Excellent quality (A+) · 88 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. | zerank-2 | Q8_0 | 6.4 GB | 145 ms | Runs well |
| 82Great quality (A) · 82 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. | d1 3B | F16 | 8.2 GB | 86 ms | Runs great |
| 82Great quality (A) · 82 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. | mxbai-rerank-large v2 | F16 | 5.0 GB | 67 ms | Runs great |
| 86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. | Shieldstral 1.0 3B | Q8_0 | 6.2 GB | 139 ms | Runs well |
Other products with the NVIDIA RTX Spark N1X (5120-core GPU) (32 GB)
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.



