Best Apple AI / ML Engineers Laptops in Canada · Page 12
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: Apple or Acer or Framework or Microsoft
Showing 111–117 of 117 AI / ML Engineers laptops
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#111Objective profileWeight1.38 kgBattery12.0 hrDisplay15.0" 2496x1664RAM8 GBStorage512 GBSelvaScore breakdown
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35
Video Memory VRAM Capacity
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50
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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43
Multi-Core Performance Multi-Thread Scalability
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39
Storage Space Storage Capacity
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35
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#112Objective profileWeight1.76 kgBattery9.0 hrDisplay15.6" 1920x1080RAM16 GBStorage512 GBSelvaScore breakdown
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35
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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67
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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43
Multi-Core Performance Multi-Thread Scalability
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39
Storage Space Storage Capacity
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35
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#113Objective profileWeight1.78 kgBattery8.0 hrDisplay15.6" 1920x1080RAM32 GBStorage512 GBSelvaScore breakdown
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35
Video Memory VRAM Capacity
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43
GPU Compute Class Rasterization Potency
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56
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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46
Multi-Core Performance Multi-Thread Scalability
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39
Storage Space Storage Capacity
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35
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#114Objective profileWeight1.90 kgBattery8.0 hrDisplay15.6" 1920x1080RAM8 GBStorage128 GBSelvaScore breakdown
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56
Video Memory VRAM Capacity
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24
GPU Compute Class Rasterization Potency
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25
System Memory RAM Capacity
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39
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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23
Multi-Core Performance Multi-Thread Scalability
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26
Storage Space Storage Capacity
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56
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#115Objective profileWeight1.73 kgBattery9.0 hrDisplay15.6" 1920x1080RAM8 GBStorage128 GBSelvaScore breakdown
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35
Video Memory VRAM Capacity
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34
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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43
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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26
Storage Space Storage Capacity
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35
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#116Objective profileWeight1.73 kgBattery9.0 hrDisplay15.6" 1920x1080RAM8 GBStorage128 GBSelvaScore breakdown
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35
Video Memory VRAM Capacity
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33
GPU Compute Class Rasterization Potency
-
25
System Memory RAM Capacity
-
67
Memory Bandwidth RAM Bandwidth Velocity
-
58
Storage Speed Storage Throughput
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43
AI Acceleration NPU Inference Capacity
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34
Multi-Core Performance Multi-Thread Scalability
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26
Storage Space Storage Capacity
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35
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#117Objective profileWeight1.73 kgBattery10.0 hrDisplay15.6" 1920x1080RAM8 GBStorage128 GBSelvaScore breakdown
-
35
Video Memory VRAM Capacity
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36
GPU Compute Class Rasterization Potency
-
25
System Memory RAM Capacity
-
56
Memory Bandwidth RAM Bandwidth Velocity
-
43
Storage Speed Storage Throughput
-
43
AI Acceleration NPU Inference Capacity
-
37
Multi-Core Performance Multi-Thread Scalability
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26
Storage Space Storage Capacity
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35
