How many companies has NVIDIA Corporation acquired?

NVIDIA Corporation has made 7 documented acquisitions, with a combined disclosed deal value of $8.0B.

What was NVIDIA Corporation's first major acquisition?

NVIDIA Corporation's earliest documented acquisition in this dataset is 3dfx Interactive assets in 2000.

What is NVIDIA Corporation's largest acquisition by deal value?

NVIDIA Corporation's largest acquisition by disclosed deal value is Mellanox Technologies in 2020, valued at $6.9B.

How much has NVIDIA Corporation spent on acquisitions in total?

NVIDIA Corporation has spent a combined disclosed total of $8.0B across its 7 documented acquisitions.

NVIDIA Corporation

SemiconductorsFounded 1993

Reviewed by Swet Parvadiya

Last reviewed: July 2026

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Core profile pages, annual revenue records, and related research hubs for this company.

NVIDIA Corporation

SemiconductorsFounded 1993

Reviewed by Swet Parvadiya

Last reviewed: July 2026

Acquisitions

NVIDIA Acquisitions

Q: What is NVIDIA Corporation's most recent acquisition?

NVIDIA Corporation's most recent documented acquisition is Run:ai in 2024. NVIDIA acquired Run:ai to improve orchestration, scheduling, and utilization of AI infrastructure. The software helps teams allocate expensive GPU resources more efficiently across users, models, and workloads..

Total Acquisitions

$8.0B

Disclosed Deal Value

Run:ai

2024

$700M

Why

NVIDIA acquired Run:ai to improve orchestration, scheduling, and utilization of AI infrastructure. The software helps teams allocate expensive GPU resources more efficiently across users, models, and workloads.

Impact

Run:ai fits NVIDIA's move from hardware sales toward operating AI factories. As customers buy more accelerators, software that improves utilization becomes more valuable.

Outcome

The acquisition closed after regulatory scrutiny and NVIDIA said the software would be open sourced. The deal should help NVIDIA defend platform relevance as customers focus on reducing the operating cost of AI infrastructure.

Excelero

2022

Why

NVIDIA acquired Excelero to improve high-performance block storage technology for large-scale enterprise and AI workloads. The goal was to reduce bottlenecks around data movement and storage access in accelerated computing environments.

Impact

Excelero added storage software expertise that fits NVIDIA's systems-level approach to AI infrastructure. Data movement, not only compute, determines the performance of large AI and HPC deployments.

Outcome

The acquisition was a targeted capability purchase. It strengthened the architecture around NVIDIA systems, though its impact is embedded inside platform performance rather than disclosed as a standalone business.

Mellanox Technologies

2020

$6.9B

Why

NVIDIA acquired Mellanox to add high-speed networking, InfiniBand, Ethernet, switches, adapters, and data-center interconnect expertise to its GPU business. The goal was to control more of the AI and high-performance computing cluster stack.

Impact

Mellanox transformed NVIDIA's Data Center strategy by making networking part of the core platform. The acquisition helped NVIDIA sell AI factories and supercomputing systems rather than only accelerator cards.

Outcome

The acquisition achieved its goal and became one of NVIDIA's most important strategic moves. By FY2026, networking was essential to the company's $193.7 billion Data Center revenue base because large AI clusters depend on fast interconnects.

Cumulus Networks

2020

Why

NVIDIA acquired Cumulus Networks to add open networking software to its data-center portfolio after the Mellanox deal. The goal was to strengthen software-defined networking for modern cloud and AI infrastructure.

Impact

Cumulus helped NVIDIA offer a broader networking software stack for enterprises and cloud customers. It complemented Mellanox hardware by making networking easier to manage and automate.

Outcome

The acquisition supported NVIDIA's full-stack data-center strategy. Its success is better measured as part of the broader networking platform rather than a separate revenue stream.

Icera

2011

$367M

Why

NVIDIA acquired Icera to strengthen its mobile modem and baseband capabilities as it tried to compete in smartphone and tablet processors through Tegra. The deal was meant to fill a connectivity gap against Qualcomm and integrated mobile rivals.

Impact

Icera did not solve NVIDIA's mobile SoC challenge because smartphone buyers prioritized power efficiency, integration, and modem leadership. The mobile strategy eventually lost momentum.

Outcome

The acquisition did not achieve its long-term goal. NVIDIA exited much of the smartphone SoC race and refocused on gaming, automotive, data centers, and AI, where its GPU strengths mattered more.

AGEIA Technologies

2008

Why

NVIDIA acquired AGEIA to bring PhysX physics simulation technology into its GPU ecosystem. The goal was to make gaming and simulation more realistic while giving developers another reason to improve for NVIDIA hardware.

Impact

PhysX became part of NVIDIA's software and developer toolkit, reinforcing the idea that GPUs could accelerate more than graphics. The acquisition also aligned with NVIDIA's later emphasis on simulation and physically accurate computing.

Outcome

The acquisition was strategically useful even though it did not become a standalone revenue engine. Its value was ecosystem reinforcement: physics, simulation, and developer tooling became part of NVIDIA's broader platform.

3dfx Interactive assets

2000

$70M

Why

NVIDIA acquired core assets of 3dfx Interactive, including patents and engineering talent, after the Voodoo graphics pioneer collapsed. The purpose was to remove a rival, resolve litigation, and strengthen NVIDIA's graphics intellectual property.

Impact

The deal accelerated consolidation in PC graphics and helped NVIDIA move further ahead during the GeForce era. It also brought engineering knowledge from a company that had helped define early 3D gaming.

Outcome

The acquisition achieved its defensive and strategic purpose. NVIDIA did not revive 3dfx as a separate brand, but it gained patents, talent, and competitive clearance during a volatile market transition.

NVIDIA Corporation's Growth & Acquisition Strategy

NVIDIA Corporation's growth strategy centers on this advantage: NVIDIA's advantage is its CUDA software ecosystem, full-stack accelerator roadmap, networking, developer adoption, supply-chain scale, and data center customer pull.

How NVIDIA Corporation Makes Money

NVIDIA makes money by selling GPUs, AI accelerators, networking systems, systems software, gaming GPUs, professional visualization products, automotive platforms, and cloud/software subscriptions.

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