Best Lenovo AI / ML Engineers Laptops · 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: Lenovo
Showing 11–20 of 439 AI / ML Engineers laptops
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#11Objective profileWeight2.95 kgBattery6.0 hrDisplay16.0" 3840x2400RAM128 GBStorage4 TBSelvaScore breakdown
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77
Video Memory VRAM Capacity
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69
GPU Compute Class Rasterization Potency
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87
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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69
Multi-Core Performance Multi-Thread Scalability
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79
Storage Space Storage Capacity
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77
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#12Objective profileWeight2.54 kgBattery7.0 hrDisplay16.0" 3200x2000RAM128 GBStorage2 TBSelvaScore breakdown
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77
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
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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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66
Storage Space Storage Capacity
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77
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#13Objective profileWeight2.56 kgBattery6.0 hrDisplay16.0" 2560x1600RAM64 GBStorage2 TBSelvaScore breakdown
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72
Video Memory VRAM Capacity
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73
GPU Compute Class Rasterization Potency
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70
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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80
AI Acceleration NPU Inference Capacity
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82
Multi-Core Performance Multi-Thread Scalability
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66
Storage Space Storage Capacity
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72
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#14Objective profileWeight–Battery7.0 hrDisplay16.0" 2560x1600RAM64 GBStorage2 TBSelvaScore breakdown
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72
Video Memory VRAM Capacity
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73
GPU Compute Class Rasterization Potency
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70
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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66
Storage Space Storage Capacity
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72
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#15Objective profileWeight2.56 kgBattery6.0 hrDisplay16.0" 2560x1600RAM32 GBStorage1 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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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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52
Storage Space Storage Capacity
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72
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#16Objective profileWeight2.95 kgBattery6.0 hrDisplay16.0" 3840x2400RAM128 GBStorage4 TBSelvaScore breakdown
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77
Video Memory VRAM Capacity
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69
GPU Compute Class Rasterization Potency
-
87
System Memory RAM Capacity
-
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
-
79
Storage Space Storage Capacity
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77
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#17Objective profileWeight2.24 kgBattery5.0 hrDisplay16.0" 2560x1600RAM64 GBStorage4 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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70
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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76
Multi-Core Performance Multi-Thread Scalability
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79
Storage Space Storage Capacity
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56
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#18Objective profileWeight3.94 kgBattery6.0 hrDisplay16.0" 2560x1600RAM32 GBStorage2 TBSelvaScore breakdown
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72
Video Memory VRAM Capacity
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77
GPU Compute Class Rasterization Potency
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56
System Memory RAM Capacity
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56
Memory Bandwidth RAM Bandwidth Velocity
-
58
Storage Speed Storage Throughput
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59
AI Acceleration NPU Inference Capacity
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68
Multi-Core Performance Multi-Thread Scalability
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66
Storage Space Storage Capacity
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72
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#19Objective profileWeight2.56 kgBattery6.0 hrDisplay16.0" 3840x2160RAM32 GBStorage2 TBSelvaScore breakdown
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72
Video Memory VRAM Capacity
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73
GPU Compute Class Rasterization Potency
-
56
System Memory RAM Capacity
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56
Memory Bandwidth RAM Bandwidth Velocity
-
58
Storage Speed Storage Throughput
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70
AI Acceleration NPU Inference Capacity
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70
Multi-Core Performance Multi-Thread Scalability
-
66
Storage Space Storage Capacity
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72
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#20Objective profileWeight2.56 kgBattery7.0 hrDisplay16.0" 2560x1600RAM32 GBStorage1 TBSelvaScore breakdown
-
72
Video Memory VRAM Capacity
-
73
GPU Compute Class Rasterization Potency
-
56
System Memory RAM Capacity
-
56
Memory Bandwidth RAM Bandwidth Velocity
-
58
Storage Speed Storage Throughput
-
70
AI Acceleration NPU Inference Capacity
-
70
Multi-Core Performance Multi-Thread Scalability
-
52
Storage Space Storage Capacity
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72
