Nvidia

Together is a technology services platform that offers a decentralized cloud specifically for artificial intelligence development. The company focuses on constructing open-source generative AI models and infrastructure, providing tools and resources that enable developers and researchers to train, refine, and deploy these models efficiently. Together's platform emphasizes accessibility and user-friendliness, allowing organizations of various sizes to leverage and enhance AI capabilities. By contributing innovative open-source research, models, and datasets, Together plays a significant role in advancing the field of AI and fostering collaborative development efforts.

Lambda is a technology company specializing in deep-learning infrastructure. It provides cloud computing services tailored for large-scale artificial intelligence training and inference. The company offers servers and workstations pre-configured with popular machine learning frameworks, allowing clients to simplify and accelerate the development of complex AI models for tasks such as natural language processing and drug discovery. Lambda's product range includes on-premises GPU hardware and cloud-hosted GPUs, empowering AI engineers to construct, test, and deploy AI products efficiently and securely at scale.

MetAI specializes in developing AI-powered digital twin technology, creating high-fidelity simulation environments that mirror real-world conditions. By combining digital twins, synthetic data, and AI-driven automation, the company helps industries accelerate innovation, reduce costs, and mitigate risks.

Nebius AI is an AI-centric public cloud platform, launched in late 2023 and specifically crafted to serve AI models from ML training to inferencing at a scale. Our mission is to enable ML practitioners to concentrate on their core job while DevOps, MLOps and infrastructure related tasks are on us. Our goal is to build an ML-specific cloud platform covering the whole ML lifecycle from A to Z: from data preparation and data labeling to ML training and inference.

Cohesity, Inc. is a data management technology company that specializes in hyper-converged secondary storage solutions for large organizations. Founded in 2013 and based in Santa Clara, California, with an additional office in Raleigh, North Carolina, Cohesity aims to simplify the protection, management, and extraction of value from data. Its flagship product, the Cohesity DataPlatform, consolidates secondary data and workflows, eliminating storage silos and streamlining data management. The company also offers DataProtect, which integrates various data protection functions, including backup and disaster recovery, as well as the Cohesity Orion platform for comprehensive data protection and big data storage. Additionally, Cohesity provides tools for monitoring and managing data infrastructure through its SaaS-based solution, Cohesity Helios, and its mobile application. The company serves clients across the Americas, EMEA, and APAC, and maintains a strategic partnership with Pure Storage to enhance its offerings.

Together is a technology services platform that offers a decentralized cloud specifically for artificial intelligence development. The company focuses on constructing open-source generative AI models and infrastructure, providing tools and resources that enable developers and researchers to train, refine, and deploy these models efficiently. Together's platform emphasizes accessibility and user-friendliness, allowing organizations of various sizes to leverage and enhance AI capabilities. By contributing innovative open-source research, models, and datasets, Together plays a significant role in advancing the field of AI and fostering collaborative development efforts.

CentML is a machine learning startup focused on providing optimization solutions for machine learning inference and training. The company's platform enables data scientists and engineers to identify and implement value optimizations in their training and inference processes. By doing so, CentML helps clients reduce compute costs and enhance the efficiency of their machine learning operations, making advanced machine learning capabilities more accessible and affordable for a wider range of users.

Databricks Inc. is a technology company that provides a unified data analytics cloud platform designed to facilitate data engineering and collaborative data science. The company offers a comprehensive suite of tools, including a just-in-time data platform that simplifies data integration, real-time experimentation, and deployment of production applications for developers and data scientists. Key products include Databricks Delta, which combines the capabilities of data warehouses with low-latency streaming, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, manufacturing, and telecommunications, and has established strategic partnerships with various organizations to enhance its offerings. Founded in 2013, Databricks is headquartered in San Francisco, California, with additional offices in London, Amsterdam, and Bengaluru.

AI21 Labs Ltd., established in 2017 and headquartered in Tel Aviv-Yafo, Israel, specializes in developing artificial intelligence systems. The company focuses on creating generative AI and large language models, along with tools designed to understand and generate natural language effectively. Their primary product is an AI-based writing companion that comprehends context and meaning, transforming how users read and write by providing summaries and rewriting text for clarity. This empowers users to analyze and visualize abstract knowledge structures more efficiently.

Superluminal Medicines is a biotechnology company specializing in generative biology and chemistry. It employs a unique platform that combines deep biological and chemical expertise, machine learning, and proprietary big data infrastructure to rapidly generate candidate-ready compounds for drug discovery and development. By integrating high-throughput experimental data with advanced algorithms, the company aims to accelerate the identification and optimization of novel drug candidates, improving efficiency and success rates in small molecule drug development compared to traditional methods.

Excelero, Inc. specializes in low-latency distributed block storage solutions designed for web-scale and enterprise applications. Founded in 2014 and based in San Jose, California, the company developed NVMesh, a software-defined block storage solution that employs Elastic NVMe technology. This innovation enables unmodified applications to access pooled NVMe storage devices across a network with local speed and latency. Excelero's solutions cater to a diverse range of sectors, including data analytics, machine learning, media and entertainment for post-production, and high-performance computing. By leveraging NVMesh, customers can create high-performance Server SANs that efficiently handle mixed workloads while benefiting from centralized storage without being locked into proprietary hardware. This approach significantly reduces total storage costs while enhancing scalability and performance, making it suitable for hyper-scale Industrial IoT services and large-scale simulation visualization.

Bright Computing is a leading provider of cluster management software, founded in 2009 and headquartered in San Jose, California. It offers comprehensive solutions for managing high-performance computing (HPC) clusters, big data clusters, and OpenStack private clouds. The company's flagship product, Bright Cluster Manager, enables users to install, provision, configure, manage, and monitor clusters across different sizes and hardware types. Bright Computing serves a diverse range of industries, including academia, government, finance, manufacturing, pharmaceuticals, oil, and gas, with notable clients such as Boeing, NASA, Roche, Stanford University, and Tokyo Institute of Technology. The company maintains strategic partnerships with industry leaders like Amazon, Cray, Dell, Intel, Nvidia, and SGI to deliver integrated solutions for managing advanced IT infrastructure. Bright Computing's software is deployed in over 650 data centers worldwide, demonstrating its global impact on cluster management.

Domino Data Lab, Inc. is a provider of an enterprise data science platform that facilitates the analysis and deployment of data-driven models across various industries, including financial services, healthcare, and manufacturing. The company's offerings include Domino Cloud, a managed cloud infrastructure that enables clients to run and scale their models, and Domino On-Premise, which allows for tracking and auditing of analysis. By empowering data science teams with collaborative tools and a system of record, Domino Data Lab enhances research capabilities, accelerates model deployment, and fosters teamwork among code-first data science practitioners. Founded in 2012 and headquartered in San Francisco, California, the company was previously known as Cerebro, Inc. and rebranded in 2015. Notable clients include Allstate, Dell Technologies, and Bayer, who utilize Domino's platform to drive innovation and improve operational efficiency.

Saturn Cloud, Inc. is a data science platform company founded in 2019 and headquartered in New York, New York. The platform is designed to facilitate the development and deployment of artificial intelligence and machine learning models in the cloud. It features a parallel computing library called Dask, allowing users to leverage high-memory computing and GPU processors. Saturn Cloud supports multiple programming languages, including Python and R, and provides tools for high-leverage automation, such as one-click publishing and sharing. This enables data science teams to streamline their workflows and enhance productivity by minimizing the manual effort typically required for data analytics and model development. Notable clients of Saturn Cloud include industry leaders such as NVIDIA and Nestle.

Cumulus Networks, Inc. is a technology company that specializes in developing Linux-based operating systems for networking hardware applications. Founded in 2009 and headquartered in Mountain View, California, with additional offices in San Francisco and Cary, North Carolina, the company aims to simplify data center operations through its innovative solutions. Cumulus Linux, its flagship product, facilitates the disaggregation of top-of-rack data center switching, while Cumulus VX serves as a virtual appliance for testing its technology in various environments. Additionally, Cumulus Networks offers the Rack Management Platform for out-of-band management and NetQ, a telemetry-based system for fabric validation. The company provides a range of networking solutions, including cloud orchestration, data center automation, and network virtualization, catering to diverse customers from large web-scale operations to small businesses across multiple industries. As of June 2020, Cumulus Networks operates as a subsidiary of NVIDIA Corporation.

ABEJA, Inc. is a Japanese company founded in 2012, specializing in artificial intelligence software designed for retailers and manufacturers. Based in Minato-Ku, the company integrates advanced technologies such as IoT, big data, and deep learning into its platform, enabling sophisticated data analysis and operational automation. ABEJA's services encompass the entire pipeline of machine learning and deep learning, from data generation and collection to processing, analysis, and AI modeling. The company's solutions are tailored to meet the specific needs of various industries, particularly in retail, manufacturing, and infrastructure, facilitating digital transformation through continuous and stable operations.

BlazingSQL, Inc. develops an open-source, GPU-accelerated SQL engine designed to improve database management and query execution. The company offers BlazingSQL Notebooks, a cloud-based platform that provides users with a managed Jupyter environment equipped with a CUDA GPU and pre-installed, GPU-accelerated Python packages. This platform enables efficient querying of various file formats, including CSV, JSON, Apache Parquet, and Apache ORC, by leveraging Apache Arrow to run queries directly in GPU memory. Established in 2015 and headquartered in San Francisco, California, with an additional office in Lima, Peru, BlazingSQL aims to deliver fast and user-friendly database solutions that enhance performance and simplify setup for users.

Fastdata developed its PlasmaENGINE®, a high-performance computing software engine, to exploit the massively parallel processing capability of NVIDIA’s GPU platform. The PlasmaENGINE® accelerates stream processing up to three orders of magnitude faster, while simultaneously cutting power and space requirements in the data center.

ABEJA, Inc. is a Japanese company founded in 2012, specializing in artificial intelligence software designed for retailers and manufacturers. Based in Minato-Ku, the company integrates advanced technologies such as IoT, big data, and deep learning into its platform, enabling sophisticated data analysis and operational automation. ABEJA's services encompass the entire pipeline of machine learning and deep learning, from data generation and collection to processing, analysis, and AI modeling. The company's solutions are tailored to meet the specific needs of various industries, particularly in retail, manufacturing, and infrastructure, facilitating digital transformation through continuous and stable operations.

HEAVY.AI is a developer of a big data analytics and visualization platform that enables businesses and government entities to uncover valuable opportunities and risks within extensive location and time-based data. By leveraging the capabilities of modern GPU and CPU hardware, HEAVY.AI's platform provides a structured query language-compliant database and an advanced visual analytics engine. This technology allows users to effectively analyze and visualize multi-billion record datasets through a web-based interface. The company's solutions are utilized across various sectors, including government, telecommunications, energy, utilities, and higher education, facilitating high-impact decision-making and enhancing the ability to derive insights from complex data.

HEAVY.AI is a developer of a big data analytics and visualization platform that enables businesses and government entities to uncover valuable opportunities and risks within extensive location and time-based data. By leveraging the capabilities of modern GPU and CPU hardware, HEAVY.AI's platform provides a structured query language-compliant database and an advanced visual analytics engine. This technology allows users to effectively analyze and visualize multi-billion record datasets through a web-based interface. The company's solutions are utilized across various sectors, including government, telecommunications, energy, utilities, and higher education, facilitating high-impact decision-making and enhancing the ability to derive insights from complex data.

HEAVY.AI is a developer of a big data analytics and visualization platform that enables businesses and government entities to uncover valuable opportunities and risks within extensive location and time-based data. By leveraging the capabilities of modern GPU and CPU hardware, HEAVY.AI's platform provides a structured query language-compliant database and an advanced visual analytics engine. This technology allows users to effectively analyze and visualize multi-billion record datasets through a web-based interface. The company's solutions are utilized across various sectors, including government, telecommunications, energy, utilities, and higher education, facilitating high-impact decision-making and enhancing the ability to derive insights from complex data.

AI21 Labs Ltd., established in 2017 and headquartered in Tel Aviv-Yafo, Israel, specializes in developing artificial intelligence systems. The company focuses on creating generative AI and large language models, along with tools designed to understand and generate natural language effectively. Their primary product is an AI-based writing companion that comprehends context and meaning, transforming how users read and write by providing summaries and rewriting text for clarity. This empowers users to analyze and visualize abstract knowledge structures more efficiently.