NVIDIA

NVIDIA specializes in the design and manufacture of graphics processing units (GPUs), initially for gaming and professional visualization, but now also widely used in artificial intelligence, data center, and automotive markets. The company's products include GeForce for PC gaming, Quadro for design professionals, Tesla for AI acceleration, DRIVE for autonomous vehicles, and Jetson for embedded systems. NVIDIA serves a broad range of customers, including OEMs, system builders, retailers, cloud service providers, automotive manufacturers, and start-ups.

Vishal Dhupar

Managing Director Asia South

Phil Eisler

General Manager, GeForce NOW Cloud Gaming

Dror Goldenberg

Senior Vice President Software Architecture - Networking

Rev Lebaredian

Vice President, Simulation Technology

Sonu Nayyar

Chief Information Officer and Senior Vice President

Kimberly Powell

Vice President / General Manager, Healthcare

Ajay Puri

Executive Vice President, Worldwide Field Operations

Daniel Rohrer

Vice President Software Security

Marc Stampfli

Business Director Switzerland

Past deals in Big Data

Together AI

Series B in 2025
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

Series D in 2025
Lambda specializes in deep-learning infrastructure, offering cloud technology, servers, and workstations pre-configured with common ML frameworks. This enables clients to simplify and accelerate the training and deployment of deep learning models, empowering AI engineers to construct, test, and deploy AI products efficiently and securely.

MetAI

Seed Round in 2025
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

Post in 2024
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

Series F in 2024
Cohesity develops hyper-converged secondary storage solutions that consolidate, protect, and share non-mission-critical data assets of large organizations. Its platform, Cohesity DataPlatform, converges data protection infrastructure including backup, replication, disaster recovery, and cloud tiering. Additionally, it offers Cohesity Helios, a SaaS-based management solution for monitoring and managing secondary data and applications.

Together AI

Series A in 2023
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

Seed Round in 2023
CentML is a startup specializing in machine learning optimization. Its platform enables data scientists and engineers to identify and apply value optimizations to ML training and inference processes, resulting in reduced compute costs.

Databricks

Series I in 2023
Databricks offers a unified data analytics platform that simplifies data integration, enables real-time experimentation, and facilitates robust deployment of production applications for developers and data scientists. Serving diverse industries worldwide, Databricks' platform supports collaborative data science, machine learning workflows, and integrates with various cloud services.

AI21 Labs

Series C in 2023
AI21 Labs is an Israeli artificial intelligence company that develops generative AI and large language models along with tools to understand and generate natural language. Founded in 2017 and based in Tel Aviv-Yafo, it provides AI-based writing and reading assistance that understands context and meaning, including a writing companion that can rephrase text to convey the intended message and generate summaries. The company's tools help users read more efficiently, analyze and visualize complex knowledge structures, and apply deep learning and NLP to transform writing and comprehension for businesses and individuals.

Superluminal Medicines

Seed Round in 2023
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 Storage

Acquisition in 2022
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

Acquisition in 2022
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

Series F in 2021
Domino Data Lab provides an on-premise and cloud-based enterprise data science platform that helps organizations manage, scale, and productionize data science work. Its offerings include Domino Cloud, a managed cloud infrastructure to run, share, and deploy models, and Domino On-Premise, to track, share, and audit analyses. The company serves multiple industries including financial services, insurance, media and technology, health and life sciences, manufacturing, retail, ecommerce, and consumer products. The platform serves as a data science system of record, enabling disciplined collaboration, reproducibility, and governance, accelerating model development and deployment for code-first data science teams at scale.

Saturn Cloud

Series A in 2021
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

Acquisition in 2020
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

Series C in 2018
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.

BlazingDB

Seed Round in 2017
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

Seed Round in 2017
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

Series B in 2017
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

Series A in 2016
HEAVY.AI develops a big data analytics and visualization platform that helps governments and businesses analyze and visualize opportunities and risks hidden in large location- and time-based datasets. The platform combines a structured query language–compliant database optimized for graphics processing units with an advanced visual analytics engine and a web-based front end for rendering multi-billion-record data sets. By leveraging the parallel processing power of modern GPU and CPU hardware, it supports high-impact decision-making across sectors such as government, telecommunications, energy, utilities, and higher education.

HEAVY.AI

Seed Round in 2014
HEAVY.AI develops a big data analytics and visualization platform that helps governments and businesses analyze and visualize opportunities and risks hidden in large location- and time-based datasets. The platform combines a structured query language–compliant database optimized for graphics processing units with an advanced visual analytics engine and a web-based front end for rendering multi-billion-record data sets. By leveraging the parallel processing power of modern GPU and CPU hardware, it supports high-impact decision-making across sectors such as government, telecommunications, energy, utilities, and higher education.

HEAVY.AI

Pre Seed Round in 2014
HEAVY.AI develops a big data analytics and visualization platform that helps governments and businesses analyze and visualize opportunities and risks hidden in large location- and time-based datasets. The platform combines a structured query language–compliant database optimized for graphics processing units with an advanced visual analytics engine and a web-based front end for rendering multi-billion-record data sets. By leveraging the parallel processing power of modern GPU and CPU hardware, it supports high-impact decision-making across sectors such as government, telecommunications, energy, utilities, and higher education.

AI21 Labs

AI21 Labs is an Israeli artificial intelligence company that develops generative AI and large language models along with tools to understand and generate natural language. Founded in 2017 and based in Tel Aviv-Yafo, it provides AI-based writing and reading assistance that understands context and meaning, including a writing companion that can rephrase text to convey the intended message and generate summaries. The company's tools help users read more efficiently, analyze and visualize complex knowledge structures, and apply deep learning and NLP to transform writing and comprehension for businesses and individuals.
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