Amazon AI
Amazon's AI division spanning AWS cloud services, Alexa voice assistant, and retail automation, with AWS being the world's largest cloud platform and a major AI infrastructure provider.
Amazon plans $200 billion in AI-related capex for 2026, the largest of any company. AWS holds approximately 31% of the cloud market and offers AI services through SageMaker and Bedrock. Amazon invested $8 billion in Anthropic, making it a strategic AI partner. The company deploys over 750,000 robots across its warehouses. Alexa serves over 500 million devices globally. Amazon's custom AI chips (Trainium and Inferentia) aim to reduce dependence on NVIDIA GPUs and lower cloud AI costs for customers.
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Related Terms
AI Compute
The computational resources — primarily GPU and TPU processing power — required to train and run AI models, typically measured in FLOP (floating-point operations) or GPU-hours.
Capex (Capital Expenditure)
Long-term investment spending by companies on physical assets like data centers, GPU clusters, and networking infrastructure — the backbone of AI deployment at scale.
Data Center
A facility housing computer systems and infrastructure used to process, store, and distribute data — increasingly built specifically for AI training and inference workloads.
Fine-Tuning
The process of further training a pre-trained AI model on a specific, smaller dataset to specialize it for a particular task or domain, requiring far less compute than training from scratch.
Foundation Model
A large AI model trained on broad data that can be adapted to a wide range of downstream tasks — examples include GPT-4, Claude, Gemini, and Llama.
Frontier Model
The most capable and advanced AI models at any given time, typically trained with the largest compute budgets and achieving state-of-the-art performance on benchmarks.
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