
OctoAI
Founded Year
2019Stage
Acquired | AcquiredTotal Raised
$131.9MValuation
$0000About OctoAI
OctoAI is a company specializing in the deployment and optimization of generative AI models for various applications across the tech industry. The company offers a platform for serving AI models with customizable solutions for specific use cases, and the ability to operate in both SaaS and private environments. OctoAI's services cater to developers and enterprises looking to integrate AI into their products. OctoAI was formerly known as OctoML. It was founded in 2019 and is based in Seattle, Washington. In September 2024, OctoAI was acquired by NVIDIA at a valuation between $165M and $250M.
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ESPs containing OctoAI
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The model deployment & serving market revolves around the process of taking trained machine learning models and making them accessible for real-time predictions and use in applications. This market provides solutions for deploying models at scale, ensuring efficient, low-latency predictions. It enables organizations to operationalize their AI investments, delivering value through applications like…
OctoAI named as Highflier among 5 other companies, including Seldon, BentoML, and Modzy.
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Research containing OctoAI
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned OctoAI in 4 CB Insights research briefs, most recently on Oct 3, 2024.

Oct 3, 2024 report
State of Venture Q3’24 Report
Sep 29, 2023
The machine learning operations (MLOps) market mapExpert Collections containing OctoAI
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
OctoAI is included in 3 Expert Collections, including AI 100.
AI 100
100 items
Generative AI
942 items
Companies working on generative AI applications and infrastructure.
Artificial Intelligence
6,888 items
OctoAI Patents
OctoAI has filed 6 patents.
The 3 most popular patent topics include:
- data scientists
- diagrams
- systems engineering

Application Date | Grant Date | Title | Related Topics | Status |
---|---|---|---|---|
2/23/2021 | 1/30/2024 | Diagrams, Underground nuclear weapons testing, Machine learning, Data scientists, Systems engineering | Grant |
Application Date | 2/23/2021 |
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Grant Date | 1/30/2024 |
Title | |
Related Topics | Diagrams, Underground nuclear weapons testing, Machine learning, Data scientists, Systems engineering |
Status | Grant |
Latest OctoAI News
Sep 30, 2024
I cover emerging technologies with a focus on infrastructure and AI pixabay In a bold move that solidifies its position as the leader in artificial intelligence infrastructure, Nvidia has acquired OctoAI , a Seattle-based startup specializing in generative AI tools. This $250 million deal marks Nvidia's fifth acquisition in 2024, underscoring the company's aggressive strategy to build a comprehensive end-to-end generative AI stack for enterprises. Formally known as OctoML, the company was founded in 2019 as a spinoff from the University of Washington's Apache TVM project. It made significant strides in optimizing AI model performance across various hardware platforms. The startup's core technology focuses on making AI hardware more accessible to developers by providing a hardware-agnostic software layer that simplifies the deployment and scaling of AI models. OctoAI's evolution from OctoML to a key player in generative AI marks a strategic pivot that reshaped its market position. Initially focused on AI model optimization, the company, under CEO Luis Ceze 's leadership, recognized generative AI's transformative potential for businesses. This shift led to the development of OctoStack , a comprehensive solution for deploying generative AI models across various environments. OctoAI's most recent offering emphasizes a developer-first approach, enabling non-experts to leverage large language models easily. Key features include private model deployment, customization support for popular models like Meta's Llama and Stable Diffusion and significant performance optimizations. The pivot has positioned OctoAI as a leader in secure, enterprise-grade AI deployments, attracting a diverse client base from Fortune 500 companies to startups. By offering substantial speedups and cost savings compared to DIY solutions, OctoAI has established itself at the forefront of the AI revolution in business technology. The acquisition by Nvidia comes at a crucial time when enterprises are grappling with the complexities of implementing and scaling generative AI solutions. OctoAI's current offerings include a cloud platform that enables developers to deploy and run AI models with high performance and cost efficiency. Their technology supports multiple chip architectures, including those from Nvidia's competitors like AMD and Intel, making it a versatile solution for businesses looking to leverage AI without being tied to a single hardware vendor. MORE FOR YOU This hardware-agnostic approach aligns perfectly with Nvidia's ambition to deliver an end-to-end generative AI stack. By incorporating OctoAI's technology, Nvidia can now offer enterprises a more flexible and scalable solution for AI deployment, regardless of the underlying hardware infrastructure. This move is particularly strategic as it allows Nvidia to expand its reach beyond its own GPU ecosystem and capture a larger share of the enterprise AI market. The synergy between OctoAI's offerings and Nvidia's existing AI portfolio is evident. Earlier this year, the two companies announced a partnership to optimize Nvidia's Inference Microservices, NIM , using OctoAI's compiler technology. This collaboration laid the groundwork for the acquisition, demonstrating the potential for integrating OctoAI's innovations into Nvidia's broader AI ecosystem. Nvidia's acquisition strategy in the AI space has been both aggressive and strategic. In March 2024, the company acquired Run:ai, an Israeli startup specializing in AI infrastructure orchestration. This earlier acquisition complemented Nvidia's hardware offerings by providing sophisticated software tools for managing and optimizing AI workloads in complex enterprise environments. The combination of Run:ai's orchestration capabilities and OctoAI's model optimization technology significantly strengthens Nvidia's position in the enterprise AI market. Together, these acquisitions enable Nvidia to offer a comprehensive solution that addresses the entire AI lifecycle, from model development and optimization to deployment and scaling across diverse hardware environments. The acquisition also brings valuable talent to Nvidia's ranks. OctoAI's team of AI experts, including its founders, who have deep expertise in machine learning compilers and hardware optimization, will bolster Nvidia's research and development capabilities. This infusion of talent is critical as the company continues to push the boundaries of AI technology and maintain its competitive edge in a rapidly evolving market. However, the acquisition is not without challenges. OctoAI's existing partnerships with Nvidia's competitors, including AWS, AMD and Qualcomm, could pose integration hurdles. Nvidia will need to carefully navigate these relationships to maintain the hardware-agnostic appeal of OctoAI's technology while integrating it into its own ecosystem. Moreover, the acquisition may also face regulatory scrutiny, given Nvidia's dominant position in the AI chip market. The company's growing influence across the AI stack could raise concerns about market concentration and potential anticompetitive practices. Nvidia will need to demonstrate that its acquisitions and integrations benefit the broader AI ecosystem and do not stifle innovation or competition. Despite these challenges, the potential benefits of the OctoAI acquisition for Nvidia and its enterprise customers are significant. The integration of OctoAI's technology into Nvidia's AI platform will likely result in more efficient and cost-effective AI deployments for businesses across various industries. This could accelerate the adoption of generative AI in enterprise settings, driving innovation and productivity gains. Looking ahead, the OctoAI acquisition positions Nvidia to capitalize on the growing demand for industry-specific AI solutions. OctoAI had plans to introduce more vertical-specific offerings, including in healthcare, which aligns with Nvidia's strategy to penetrate key sectors with tailored AI solutions. This focus on industry-specific applications could open new revenue streams for Nvidia and further entrench its position as the leading provider of enterprise AI infrastructure. Follow me on Twitter or LinkedIn . Check out my website .
OctoAI Frequently Asked Questions (FAQ)
When was OctoAI founded?
OctoAI was founded in 2019.
Where is OctoAI's headquarters?
OctoAI's headquarters is located at 1000 North Northlake Way, Seattle.
What is OctoAI's latest funding round?
OctoAI's latest funding round is Acquired.
How much did OctoAI raise?
OctoAI raised a total of $131.9M.
Who are the investors of OctoAI?
Investors of OctoAI include NVIDIA, Google Cloud Next, Madrona Venture Group, Amplify Partners, Addition and 4 more.
Who are OctoAI's competitors?
Competitors of OctoAI include Deeplite, Deci, CLIKA, DarwinAI, MosaicML and 7 more.
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Compare OctoAI to Competitors

Deeplite specializes in artificial intelligence technology within the deep learning optimization sector. The company offers Neutrino, an artificial intelligence-driven optimizer that helps in the deployment of deep learning systems for production by making them for real-time, large-scale, and resource-limited environments. It primarily serves the technology sector. The company was founded in 2019 and is based in Toronto, Canada.

Edge Impulse specializes in machine learning tooling for edge devices within the AI technology sector. The company provides a platform for building datasets, training models, and optimizing algorithms to run on a variety of hardware from microcontrollers to neural accelerators. Edge Impulse primarily serves industries that require edge AI solutions, such as healthcare, industrial monitoring, and smart infrastructure. It was founded in 2019 and is based in San Jose, California.

Latent AI specializes in edge AI solutions, focusing on the development of ultra-efficient, secure, and scalable artificial intelligence models for edge devices. The company offers an automated MLOps pipeline that enables the creation of lightweight and compressed AI models, ensuring fast deployment and consistent development across various hardware platforms. Latent AI primarily serves federal and commercial organizations seeking to enhance their edge computing capabilities. It was founded in 2018 and is based in Menlo Park, California.

Neural Magic specializes in software-delivered AI, focusing on high-performance inference serving solutions for deploying open-source large language models (LLMs), computer vision (CV), and natural language processing (NLP) models. The company offers products that enable efficient and fast inference on private CPU and GPU infrastructures, including sparsity-aware servers and optimization libraries. Neural Magic's solutions cater to the needs of various sectors requiring scalable and cost-effective AI applications, such as those in the cloud computing and data center domains. Neural Magic was formerly known as Flexible Learning Machines. It was founded in 2018 and is based in Somerville, Massachusetts.
CLIKA focuses on machine learning operations (MLOps) with a specialization in TinyAI within the artificial intelligence (AI) industry. The company offers tools that compress and optimize machine learning models for improved performance, efficiency, and speed. CLIKA's solutions are designed to enhance user experience by delivering faster AI speeds and reducing operational costs through inference cost optimization. It was founded in 2021 and is based in Seoul, South Korea.

Nota AI specializes in artificial intelligence model optimization and software solutions within the technology sector. The company offers a proprietary platform, NetsPresso, which automates the development of lightweight AI models and optimizes them for specific hardware, aiming to enhance performance on edge devices. Its technology is applied in various sectors, including intelligent transportation, security, and healthcare, providing solutions such as driver monitoring systems and smart access control. The company was founded in 2015 and is based in Seoul, South Korea.
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