Microsoft AI
Microsoft's AI division spanning Azure cloud services, Copilot products, and strategic investments, anchored by its $13 billion+ partnership with OpenAI.
Microsoft plans $145 billion in AI-related capex for 2026, making it the third-largest AI infrastructure investor. The company's Copilot brand spans Microsoft 365, GitHub, Bing, Windows, and Azure. GitHub Copilot has 1.8 million subscribers. Azure AI services compete for the $200+ billion cloud AI market. Microsoft's partnership with OpenAI gives it exclusive cloud provider status for OpenAI's models and integrates GPT-4 across its product suite. The company also invests in its own model research through Phi and partners with Mistral and other model providers.
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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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