Best Dell AI / ML Engineers Laptops Under C$2,000 in Canada · Page 2
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$2,000 · Dell or Framework
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#11Objective profileWeight1.55 kgBattery12.0 hrDisplay14.0" 2560x1600RAM16 GBStorage1 TBSelvaScore breakdown
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56
Video Memory VRAM Capacity
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56
GPU Compute Class Rasterization Potency
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42
System Memory RAM Capacity
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87
Memory Bandwidth RAM Bandwidth Velocity
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43
Storage Speed Storage Throughput
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65
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
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#12Objective profileWeight0.99 kgBattery7.0 hrDisplay15.6" 1920x1200RAM64 GBStorage1 TBSelvaScore breakdown
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44
Video Memory VRAM Capacity
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58
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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45
Storage Speed Storage Throughput
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43
AI Acceleration NPU Inference Capacity
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83
Multi-Core Performance Multi-Thread Scalability
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52
Storage Space Storage Capacity
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44
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#13Objective profileWeight–Battery13.0 hrDisplay14.0" 1920x1200RAM32 GBStorage1 TBSelvaScore breakdown
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56
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
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58
Storage Speed Storage Throughput
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70
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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56
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#14Objective profileWeight1.59 kgBattery14.0 hrDisplay14.0" 1920x1200RAM32 GBStorage1 TBSelvaScore breakdown
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56
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
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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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52
Storage Space Storage Capacity
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56
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#15Objective profileWeight2.16 kgBattery6.0 hrDisplay16.0" 2560x1600RAM16 GBStorage1 TBSelvaScore breakdown
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45
Video Memory VRAM Capacity
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61
GPU Compute Class Rasterization Potency
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42
System Memory RAM Capacity
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56
Memory Bandwidth RAM Bandwidth Velocity
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43
Storage Speed Storage Throughput
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58
AI Acceleration NPU Inference Capacity
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39
Multi-Core Performance Multi-Thread Scalability
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52
Storage Space Storage Capacity
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45
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#16Objective profileWeight2.83 kgBattery9.0 hrDisplay14.0" 1920x1200RAM32 GBStorage1 TBSelvaScore breakdown
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56
Video Memory VRAM Capacity
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55
GPU Compute Class Rasterization Potency
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56
System Memory RAM Capacity
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69
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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50
Multi-Core Performance Multi-Thread Scalability
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52
Storage Space Storage Capacity
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56
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#17Objective profileWeight1.54 kgBattery12.0 hrDisplay14.0" 1920x1200RAM16 GBStorage1 TBSelvaScore breakdown
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56
Video Memory VRAM Capacity
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57
GPU Compute Class Rasterization Potency
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42
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
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52
Multi-Core Performance Multi-Thread Scalability
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52
Storage Space Storage Capacity
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56
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#18Objective profileWeight1.98 kgBattery9.0 hrDisplay16.0" 1920x1200RAM32 GBStorage1 TBSelvaScore breakdown
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56
Video Memory VRAM Capacity
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23
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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62
AI Acceleration NPU Inference Capacity
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34
Multi-Core Performance Multi-Thread Scalability
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52
Storage Space Storage Capacity
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56
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#19Objective profileWeight1.87 kgBattery9.0 hrDisplay16.0" 2560x1600RAM16 GBStorage1 TBSelvaScore breakdown
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56
Video Memory VRAM Capacity
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54
GPU Compute Class Rasterization Potency
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42
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
-
52
Multi-Core Performance Multi-Thread Scalability
-
52
Storage Space Storage Capacity
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56
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#20Objective profileWeight1.71 kgBattery9.0 hrDisplay14.0" 1920x1200RAM64 GBStorage2 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
-
67
Memory Bandwidth RAM Bandwidth Velocity
-
43
Storage Speed Storage Throughput
-
56
AI Acceleration NPU Inference Capacity
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63
Multi-Core Performance Multi-Thread Scalability
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66
Storage Space Storage Capacity
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56









