Together AI
A cloud platform for running, fine-tuning, and training open-source AI models, offering competitive pricing and performance for organizations building on open-source foundation models.
Together AI has raised over $400 million and offers cloud inference and training services for open-source models including Llama, Mistral, and others. The company differentiates on speed, offering some of the fastest inference speeds for open-source models. Together AI contributes to open-source AI research and has co-developed models and datasets with academic institutions. The platform serves as a critical infrastructure layer for companies choosing open-source AI over proprietary models from OpenAI or Google.
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Related Terms
Artificial General Intelligence (AGI)
A hypothetical form of AI that can understand, learn, and apply knowledge across any intellectual task at or above human level, rather than being specialized for specific tasks.
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.
ChatGPT
OpenAI's conversational AI assistant, launched in November 2022, which catalyzed the current generative AI boom by demonstrating the capabilities of large language models to a mainstream audience.
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.
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