Best AI / ML Engineers Laptops in Canada · Page 60
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
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#591Objective profileWeight1.64 kgBattery9.0 hrDisplay16.0" 1920x1200RAM32 GBStorage1 TBSelvaScore breakdown
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56
Video Memory VRAM Capacity
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42
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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58
AI Acceleration NPU Inference Capacity
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63
Multi-Core Performance Multi-Thread Scalability
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52
Storage Space Storage Capacity
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56
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#592Objective profileWeight2.11 kgBattery5.0 hrDisplay15.6" 1920x1080RAM8 GBStorage512 GBSelvaScore breakdown
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45
Video Memory VRAM Capacity
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61
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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43
AI Acceleration NPU Inference Capacity
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53
Multi-Core Performance Multi-Thread Scalability
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39
Storage Space Storage Capacity
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45
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#593Objective profileWeight1.51 kgBattery15.0 hrDisplay15.3"RAM16 GBStorage512 GBSelvaScore breakdown
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56
Video Memory VRAM Capacity
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58
GPU Compute Class Rasterization Potency
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42
System Memory RAM Capacity
-
56
Memory Bandwidth RAM Bandwidth Velocity
-
43
Storage Speed Storage Throughput
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63
AI Acceleration NPU Inference Capacity
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59
Multi-Core Performance Multi-Thread Scalability
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39
Storage Space Storage Capacity
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56
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#594Objective profileWeight1.78 kgBattery15.0 hrDisplay16.0" 2880x1800RAM32 GBStorage1 TBSelvaScore breakdown
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35
Video Memory VRAM Capacity
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57
GPU Compute Class Rasterization Potency
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56
System Memory RAM Capacity
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73
Memory Bandwidth RAM Bandwidth Velocity
-
58
Storage Speed Storage Throughput
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65
AI Acceleration NPU Inference Capacity
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51
Multi-Core Performance Multi-Thread Scalability
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52
Storage Space Storage Capacity
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35
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#595Objective profileWeight1.51 kgBattery12.0 hrDisplay16.0" 3200x2000RAM32 GBStorage1 TBSelvaScore breakdown
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35
Video Memory VRAM Capacity
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55
GPU Compute Class Rasterization Potency
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56
System Memory RAM Capacity
-
56
Memory Bandwidth RAM Bandwidth Velocity
-
58
Storage Speed Storage Throughput
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80
AI Acceleration NPU Inference Capacity
-
62
Multi-Core Performance Multi-Thread Scalability
-
52
Storage Space Storage Capacity
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35
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#596Objective profileWeight1.28 kgBattery12.0 hrDisplay14.0" 1920x1200RAM16 GBStorage2 TBSelvaScore breakdown
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56
Video Memory VRAM Capacity
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56
GPU Compute Class Rasterization Potency
-
42
System Memory RAM Capacity
-
67
Memory Bandwidth RAM Bandwidth Velocity
-
58
Storage Speed Storage Throughput
-
58
AI Acceleration NPU Inference Capacity
-
58
Multi-Core Performance Multi-Thread Scalability
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66
Storage Space Storage Capacity
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56
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#597Objective profileWeight1.77 kgBattery8.0 hrDisplay14.0" 1920x1200RAM32 GBStorage2 TBSelvaScore breakdown
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35
Video Memory VRAM Capacity
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57
GPU Compute Class Rasterization Potency
-
56
System Memory RAM Capacity
-
73
Memory Bandwidth RAM Bandwidth Velocity
-
58
Storage Speed Storage Throughput
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70
AI Acceleration NPU Inference Capacity
-
65
Multi-Core Performance Multi-Thread Scalability
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66
Storage Space Storage Capacity
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35
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#598Objective profileWeight2.14 kgBattery9.0 hrDisplay16.0" 1920x1200RAM64 GBStorage4 TBSelvaScore breakdown
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56
Video Memory VRAM Capacity
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51
GPU Compute Class Rasterization Potency
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70
System Memory RAM Capacity
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56
Memory Bandwidth RAM Bandwidth Velocity
-
58
Storage Speed Storage Throughput
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58
AI Acceleration NPU Inference Capacity
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47
Multi-Core Performance Multi-Thread Scalability
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79
Storage Space Storage Capacity
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56
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#599Objective profileWeight1.40 kgBattery9.0 hrDisplay13.4" 1920x1080RAM32 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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56
System Memory RAM Capacity
-
56
Memory Bandwidth RAM Bandwidth Velocity
-
45
Storage Speed Storage Throughput
-
58
AI Acceleration NPU Inference Capacity
-
65
Multi-Core Performance Multi-Thread Scalability
-
52
Storage Space Storage Capacity
-
56
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#600Objective profileWeight1.62 kgBattery10.0 hrDisplay15.6" 1920x1080RAM32 GBStorage1 TBSelvaScore breakdown
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56
Video Memory VRAM Capacity
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51
GPU Compute Class Rasterization Potency
-
56
System Memory RAM Capacity
-
56
Memory Bandwidth RAM Bandwidth Velocity
-
58
Storage Speed Storage Throughput
-
62
AI Acceleration NPU Inference Capacity
-
48
Multi-Core Performance Multi-Thread Scalability
-
52
Storage Space Storage Capacity
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56









