Best AI / ML Engineers Laptops in Australia · Page 158
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 1571–1577 of 1577 AI / ML Engineers laptops
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#1571Objective profileWeight1.40 kgBattery1.2 hrDisplay16.0" 1920x1080RAM8 GBStorage256 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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56
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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#1572Objective profileWeight1.63 kgBattery7.0 hrDisplay15.6" 1920x1080RAM12 GBStorage256 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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32
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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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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#1573Objective profileWeight1.66 kgBattery5.0 hrDisplay16.0" 1920x1200RAM12 GBStorage512 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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32
System Memory RAM Capacity
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19
Memory Bandwidth RAM Bandwidth Velocity
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18
Storage Speed Storage Throughput
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43
AI Acceleration NPU Inference Capacity
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20
Multi-Core Performance Multi-Thread Scalability
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39
Storage Space Storage Capacity
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35
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#1574Objective profileWeight1.60 kgBattery5.0 hrDisplay15.6" 1920x1080RAM8 GBStorage256 GBSelvaScore breakdown
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35
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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56
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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#1575Objective profileWeight1.57 kgBattery8.0 hrDisplay15.6" 1920x1080RAM4 GBStorage128 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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19
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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#1576Objective 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
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#1577Objective profileWeight2.20 kgBattery5.0 hrDisplay15.6" 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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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
