Best Apple AI / ML Engineers Laptops Under C$3,500 in Canada
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: Under C$3,500 · Apple or Dell or Framework or Microsoft
Showing 1–10 of 227 AI / ML Engineers laptops
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#1ChampionObjective profileWeight2.57 kgBattery5.5 hrDisplay16.0" 2560x1600RAM32 GBStorage1 TBSelvaScore breakdown
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56
Video Memory VRAM Capacity
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73
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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70
AI Acceleration NPU Inference Capacity
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76
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 profileWeight2.57 kgBattery4.0 hrDisplay16.0" 2560x1600RAM32 GBStorage2 TBSelvaScore breakdown
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56
Video Memory VRAM Capacity
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69
GPU Compute Class Rasterization Potency
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56
System Memory RAM Capacity
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67
Memory Bandwidth RAM Bandwidth Velocity
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58
Storage Speed Storage Throughput
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59
AI Acceleration NPU Inference Capacity
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67
Multi-Core Performance Multi-Thread Scalability
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66
Storage Space Storage Capacity
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56
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#3Top PickObjective profileWeight1.87 kgBattery9.0 hrDisplay16.0" 2560x1600RAM32 GBStorage2 TBSelvaScore breakdown
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72
Video Memory VRAM Capacity
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78
GPU Compute Class Rasterization Potency
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56
System Memory RAM Capacity
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73
Memory Bandwidth RAM Bandwidth Velocity
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58
Storage Speed Storage Throughput
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70
AI Acceleration NPU Inference Capacity
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53
Multi-Core Performance Multi-Thread Scalability
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66
Storage Space Storage Capacity
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72
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#4Objective profileWeight1.60 kgBattery18.0 hrDisplay14.2" 3024x1964RAM24 GBStorage2 TBSelvaScore breakdown
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86
Video Memory VRAM Capacity
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63
GPU Compute Class Rasterization Potency
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49
System Memory RAM Capacity
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73
Memory Bandwidth RAM Bandwidth Velocity
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58
Storage Speed Storage Throughput
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63
AI Acceleration NPU Inference Capacity
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85
Multi-Core Performance Multi-Thread Scalability
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66
Storage Space Storage Capacity
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86
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#5Objective profileWeight2.14 kgBattery22.0 hrDisplay16.2" 3456x2234RAM24 GBStorage1 TBSelvaScore breakdown
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86
Video Memory VRAM Capacity
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64
GPU Compute Class Rasterization Potency
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49
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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63
AI Acceleration NPU Inference Capacity
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85
Multi-Core Performance Multi-Thread Scalability
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52
Storage Space Storage Capacity
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86
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#6Objective profileWeight2.14 kgBattery15.0 hrDisplay16.2"RAM24 GBStorage1 TBSelvaScore breakdown
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86
Video Memory VRAM Capacity
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67
GPU Compute Class Rasterization Potency
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49
System Memory RAM Capacity
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73
Memory Bandwidth RAM Bandwidth Velocity
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58
Storage Speed Storage Throughput
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63
AI Acceleration NPU Inference Capacity
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85
Multi-Core Performance Multi-Thread Scalability
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52
Storage Space Storage Capacity
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86
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#7Objective profileWeight1.63 kgBattery15.0 hrDisplay14.2"RAM32 GBStorage1 TBSelvaScore breakdown
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86
Video Memory VRAM Capacity
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64
GPU Compute Class Rasterization Potency
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56
System Memory RAM Capacity
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67
Memory Bandwidth RAM Bandwidth Velocity
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58
Storage Speed Storage Throughput
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60
AI Acceleration NPU Inference Capacity
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58
Multi-Core Performance Multi-Thread Scalability
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52
Storage Space Storage Capacity
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86
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#8Objective profileWeight2.14 kgBattery18.0 hrDisplay16.2" 3456x2234RAM48 GBStorage512 GBSelvaScore breakdown
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86
Video Memory VRAM Capacity
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62
GPU Compute Class Rasterization Potency
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65
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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63
AI Acceleration NPU Inference Capacity
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67
Multi-Core Performance Multi-Thread Scalability
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39
Storage Space Storage Capacity
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86
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#9Objective profileWeight3.02 kgBattery5.5 hrDisplay17.3" 3840x2160RAM64 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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70
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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54
Multi-Core Performance Multi-Thread Scalability
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52
Storage Space Storage Capacity
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56
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#10Objective profileWeight–Battery3.5 hrDisplay17.3" 1920x1080RAM128 GBStorage1 TBSelvaScore breakdown
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72
Video Memory VRAM Capacity
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68
GPU Compute Class Rasterization Potency
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87
System Memory RAM Capacity
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56
Memory Bandwidth RAM Bandwidth Velocity
-
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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72
