Series C to growth companies building inference APIs for large language models
Explore companies matching “Series C to growth companies building inference APIs for large language models” through Canonical’s structured public company search.
Top 5 results
Export| Company | Domain | Description | HQ Location |
|---|---|---|---|
Fireworks AI
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fireworks.ai | Fireworks AI provides an Inference Cloud designed to help developers and businesses build, tune, and scale open-source AI models. Their platform focuses on delivering fast, optimized, and cost-effective AI inference solutions. | Redwood City, California, United States |
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Nscale
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nscale.com | Nscale provides a fully integrated, scalable, and sustainable AI cloud platform designed for businesses involved in AI development, model training, and inference. Their platform offers high-performance computing resources and a comprehensive suite of AI services from development to production. | London, England, United Kingdom |
Modular
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modular.com | Modular provides an AI infrastructure platform designed to accelerate AI development and deployment. Their core offering is a GPU-portable platform that enables AI workloads to run efficiently on any hardware, promising significant performance gains. | Palo Alto, California, United States |
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Harmonic
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harmonic.fun | Harmonic is an artificial intelligence company focused on developing "Mathematical Superintelligence." Their core offering, the Aristotle Lean API, leverages advanced mathematical reasoning capabilities, demonstrated by their success at the International Mathematical Olympiad. They aim to provide highly accurate and | Palo Alto, California, United States |
FuriosaAI
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furiosa.ai | FuriosaAI is a semiconductor company specializing in the development of AI accelerators and software for efficient AI inference. They aim to provide high-performance, energy-efficient solutions for enterprises and cloud providers, particularly for demanding AI workloads like Large Language Models and computer vision. | Seoul, Seoul, Korea, Republic of |
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