Intel AI
Intel's AI division developing Gaudi accelerator chips and AI software tools, competing for market share in the AI infrastructure space against NVIDIA and AMD.
Intel's Gaudi 3 AI accelerator targets the data center training and inference market, offering competitive performance at lower price points than NVIDIA's H100. Intel acquired Habana Labs for $2 billion in 2019 to build its AI chip portfolio. The company's AI revenue remains a small fraction of NVIDIA's but is growing. Intel's foundry services aim to manufacture AI chips for other companies, competing with TSMC. The company also develops OpenVINO, an open-source toolkit for optimizing and deploying AI models on Intel hardware.
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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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