Best 14-inch AI / ML Engineers Laptops · Page 31
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: 14-inch
Showing 301–307 of 307 AI / ML Engineers laptops
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#301Objective profileWeight1.81 kgBattery9.0 hrDisplay14.0" 1366x768RAM8 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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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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28
Multi-Core Performance Multi-Thread Scalability
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26
Storage Space Storage Capacity
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35
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#302Objective profileWeight2.21 kgBattery8.0 hrDisplay14.0" 1366x768RAM16 GBStorage128 GBSelvaScore breakdown
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35
Video Memory VRAM Capacity
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26
GPU Compute Class Rasterization Potency
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42
System Memory RAM Capacity
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48
Memory Bandwidth RAM Bandwidth Velocity
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17
Storage Speed Storage Throughput
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43
AI Acceleration NPU Inference Capacity
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16
Multi-Core Performance Multi-Thread Scalability
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26
Storage Space Storage Capacity
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35
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#303Objective profileWeight2.27 kgBattery6.7 hrDisplay14.0" 1366x768RAM4 GBStorage128 GBSelvaScore breakdown
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35
Video Memory VRAM Capacity
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27
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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24
Multi-Core Performance Multi-Thread Scalability
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26
Storage Space Storage Capacity
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35
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#304Objective profileWeight1.47 kgBattery12.0 hrDisplay14.0" 1366x768RAM4 GBStorage128 GBSelvaScore breakdown
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35
Video Memory VRAM Capacity
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20
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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35
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#305Objective profileWeight1.47 kgBattery11.0 hrDisplay14.0" 1366x768RAM16 GBStorage64 GBSelvaScore breakdown
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35
Video Memory VRAM Capacity
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26
GPU Compute Class Rasterization Potency
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42
System Memory RAM Capacity
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12
Memory Bandwidth RAM Bandwidth Velocity
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13
Storage Speed Storage Throughput
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43
AI Acceleration NPU Inference Capacity
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11
Multi-Core Performance Multi-Thread Scalability
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26
Storage Space Storage Capacity
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35
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#306Objective profileWeight1.47 kgBattery10.0 hrDisplay14.0" 1366x768RAM8 GBStorage64 GBSelvaScore breakdown
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35
Video Memory VRAM Capacity
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16
GPU Compute Class Rasterization Potency
-
25
System Memory RAM Capacity
-
39
Memory Bandwidth RAM Bandwidth Velocity
-
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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35
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#307Objective profileWeight1.50 kgBattery10.0 hrDisplay14.0" 1366x768RAM8 GBStorage64 GBSelvaScore breakdown
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35
Video Memory VRAM Capacity
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10
GPU Compute Class Rasterization Potency
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25
System Memory RAM Capacity
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12
Memory Bandwidth RAM Bandwidth Velocity
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13
Storage Speed Storage Throughput
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43
AI Acceleration NPU Inference Capacity
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11
Multi-Core Performance Multi-Thread Scalability
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26
Storage Space Storage Capacity
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35
