Neural networks, AI and education, and machine learning are increasingly intertwined, driving innovation across various sectors. Fast.ai stands as a powerful platform bridging this gap by offering accessible deep learning courses and resources. Built on the robust PyTorch framework, Fast.ai simplifies complex concepts, making state-of-the-art AI techniques attainable for everyone, regardless of their technical background. With comprehensive tutorials, practical projects, and an active community, Fast.ai empowers learners to build real-world applications using deep learning, ultimately fostering AI development and responsible AI in deep learning practices.

Pricing

Pricing Model

FreemiumPay-As-You-Go (PAYG)

Pricing Plans

GCP Standard Compute

An n1-highmem-8 instance combined with a P100 GPU costs approximately $0.53 per hour.

$ 0.53

per hour

GCP Budget Compute

An n1-highmem-4 instance with a T4 GPU costs about $0.16 per hour.

$ 0.16

per hour

AWS SageMaker ml.p2.xlarge

The recommended ml.p2.xlarge instance is priced at $1.26 per hour.

$ 1.26

per hour

DataCrunch.io 1V100.6V with discount

A 1V100.6V instance, featuring one dedicated NVIDIA Tesla V100 GPU and six CPU cores, costs $0.52 per hour when applying the FastAI discount code FastAI20%.

$ 0.52

per hour

Gradient Free Tier

Offers a free tier with GPU and CPU instances.

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Azure Machine Learning Standard_NC6

The suggested Standard_NC6 virtual machine, equipped with an NVIDIA K80 GPU, costs $0.90 per hour.

$ 0.9

per hour

Azure Machine Learning Low-priority

Low-priority preemptible instances are available at approximately $0.18 per hour.

$ 0.18