Best 17-inch ASUS AI / ML Engineers Laptops
What an AI / ML laptop means: a laptop tuned for machine-learning experimentation,usable GPU VRAM for training and fine-tuning, fast CPU for data prep, lots of RAM, strong sustained thermals so a model doesn't throttle halfway through. Typical use: training and fine-tuning models, running notebooks against a local GPU, prototyping before pushing to the cloud, working with PyTorch and CUDA. Fits ML engineers, AI researchers, data scientists in ML-heavy roles, applied science teams, and students in ML programs.
Also relevant for: machine learning laptops · AI laptops · CUDA · GPU compute · training rigs
Showing: 17-inch · ASUS
Showing 1–8 of 8 AI / ML Engineers laptops
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#1ChampionObjective profileWeight3.95 kgBattery5.0 hrDisplay17.3" 2560x1440RAM32 GBStorage1 TBSelvaScore breakdown
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56
Video Memory VRAM Capacity
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68
GPU Compute Class Rasterization Potency
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56
System Memory RAM Capacity
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56
Memory Bandwidth RAM Bandwidth Velocity
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58
Storage Speed Storage Throughput
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43
AI Acceleration NPU Inference Capacity
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72
Multi-Core Performance Multi-Thread Scalability
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52
Storage Space Storage Capacity
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56
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#2Runner-UpObjective profileWeight–Battery5.0 hrDisplay17.3" 1920x1080RAM16 GBStorage1 TBSelvaScore breakdown
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56
Video Memory VRAM Capacity
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65
GPU Compute Class Rasterization Potency
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42
System Memory RAM Capacity
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48
Memory Bandwidth RAM Bandwidth Velocity
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43
Storage Speed Storage Throughput
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43
AI Acceleration NPU Inference Capacity
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57
Multi-Core Performance Multi-Thread Scalability
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52
Storage Space Storage Capacity
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56
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#3Top PickObjective profileWeight2.60 kgBattery5.0 hrDisplay17.3" 1920x1080RAM16 GBStorage1 TBSelvaScore breakdown
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45
Video Memory VRAM Capacity
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64
GPU Compute Class Rasterization Potency
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42
System Memory RAM Capacity
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48
Memory Bandwidth RAM Bandwidth Velocity
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45
Storage Speed Storage Throughput
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43
AI Acceleration NPU Inference Capacity
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56
Multi-Core Performance Multi-Thread Scalability
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52
Storage Space Storage Capacity
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45
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#4Objective profileWeight2.59 kgBattery6.0 hrDisplay17.0" 1920x1200RAM32 GBStorage1 TBSelvaScore breakdown
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45
Video Memory VRAM Capacity
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60
GPU Compute Class Rasterization Potency
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56
System Memory RAM Capacity
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17
Memory Bandwidth RAM Bandwidth Velocity
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23
Storage Speed Storage Throughput
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43
AI Acceleration NPU Inference Capacity
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60
Multi-Core Performance Multi-Thread Scalability
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61
Storage Space Storage Capacity
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45
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#5Objective profileWeight3.40 kgBattery3.0 hrDisplay17.3" 1920x1080RAM16 GBStorage1 TBSelvaScore breakdown
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56
Video Memory VRAM Capacity
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64
GPU Compute Class Rasterization Potency
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42
System Memory RAM Capacity
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12
Memory Bandwidth RAM Bandwidth Velocity
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18
Storage Speed Storage Throughput
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43
AI Acceleration NPU Inference Capacity
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27
Multi-Core Performance Multi-Thread Scalability
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52
Storage Space Storage Capacity
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56
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#6Objective profileWeight2.09 kgBattery6.0 hrDisplay17.3" 1920x1080RAM16 GBStorage1 TBSelvaScore breakdown
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56
Video Memory VRAM Capacity
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50
GPU Compute Class Rasterization Potency
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42
System Memory RAM Capacity
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39
Memory Bandwidth RAM Bandwidth Velocity
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58
Storage Speed Storage Throughput
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43
AI Acceleration NPU Inference Capacity
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69
Multi-Core Performance Multi-Thread Scalability
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52
Storage Space Storage Capacity
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56
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#7Objective profileWeight4.32 kgBattery6.0 hrDisplay17.3" 1920x1080RAM8 GBStorage512 GBSelvaScore breakdown
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44
Video Memory VRAM Capacity
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58
GPU Compute Class Rasterization Potency
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25
System Memory RAM Capacity
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56
Memory Bandwidth RAM Bandwidth Velocity
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58
Storage Speed Storage Throughput
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56
AI Acceleration NPU Inference Capacity
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45
Multi-Core Performance Multi-Thread Scalability
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39
Storage Space Storage Capacity
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44
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#8Objective profileWeight–Battery6.0 hrDisplay17.3" 1920x1080RAM16 GBStorage1 TBSelvaScore breakdown
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56
Video Memory VRAM Capacity
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31
GPU Compute Class Rasterization Potency
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42
System Memory RAM Capacity
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39
Memory Bandwidth RAM Bandwidth Velocity
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34
Storage Speed Storage Throughput
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43
AI Acceleration NPU Inference Capacity
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37
Multi-Core Performance Multi-Thread Scalability
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52
Storage Space Storage Capacity
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56
