Deal Timeline

Plotted by close date where disclosed, otherwise announcement. Select any marker to jump to the deal entry.

The Rationale That Repeats.

Three patterns show up across NVIDIA's deal book — what the team buys, how it pays, and how it integrates. The patterns are the throughline; the deals below are the evidence.

01
Pattern 1
Pattern 1
Mellanox TechnologiesPortalPlayerIceraCumulus NetworksDeepMap
02
Pattern 2
Pattern 2
Mellanox TechnologiesPortalPlayerIceraCumulus NetworksDeepMap
03
Pattern 3
Pattern 3
Mellanox TechnologiesPortalPlayerIceraCumulus NetworksDeepMap

The Full Deal Book

9 acquisitions. Each entry carries the deal value, financing structure, target revenue, executive commentary, and the original SEC filing — the evidence behind the patterns above.

01 Mellanox Technologies · Yokneam, Israel $6.9B
Announced Mar 2019 Closed Apr 2020 All cash
InfiniBand interconnectshigh-speed Ethernetdatacenter networkingSmartNICs

Mellanox is a pioneer of high-performance datacenter interconnect technology, best known for originating InfiniBand and for a high-speed Ethernet product line. Its interconnects were used in more than half of the world's fastest supercomputers and across many hyperscale datacenters at the time of the deal. NVIDIA acquired it by merger for $125.00 per share in cash. The two companies had a long prior history of collaboration in high-performance computing.

Why it was attractive
  • Interconnect leadership complementary to NVIDIA GPUs
  • combined footprint powered over 250 of the TOP500 supercomputers
The emergence of AI and data science, as well as billions of simultaneous computer users, is fueling skyrocketing demand on the world's datacenters.Jensen Huang — Founder and CEO, NVIDIA
02 PortalPlayer · United States $355M
Announced Nov 2006 Closed Jan 2007 All cash
Personal-media-player SoCsfirmwaresecondary-display software

PortalPlayer supplied semiconductors, firmware and software for personal media players and secondary-display-enabled computers. NVIDIA acquired it by merger under an agreement dated November 6, 2006, with each share converted to $13.50 in cash. The deal was positioned to accelerate NVIDIA's handheld product strategy, building on its low-power graphics, TV and video technology already used in portable media devices.

Why it was attractive
  • Handheld/media-player IP and engineering talent to build out a mobile product line
03 Icera · United Kingdom $367M
Announced May 2011 Closed Jun 2011 All cash
3G/4G baseband processorssoftware-defined cellular modemsRF technology

Icera developed baseband processors for 3G and 4G cellular phones and tablets, holding more than 550 patents granted or pending and shipping soft-modem products approved by over 50 carriers worldwide. NVIDIA acquired it for $367 million in cash. The plan was to pair Icera's modems with NVIDIA's Tegra application processor so NVIDIA could offer both of the main processors inside a smartphone.

Why it was attractive
  • 550+ patents and carrier-approved modem IP to complement Tegra in the fast-growing mobile market
04 Cumulus Networks · United States Not disclosed
Announced May 2020 Closed Jun 2020
Cumulus Linux switch OSNetQ network analyticsopen networking automation

Cumulus Networks built open networking software, including the Cumulus Linux operating system for network switches plus analytics and management tooling, supporting more than 2,000 customers across roughly 130 hardware platforms. NVIDIA acquired it and placed it inside the networking business unit created by the Mellanox deal, pairing open network software with NVIDIA's switching hardware.

Why it was attractive
  • Mature switch operating system and a 2
  • 000+ customer base to complement Mellanox switching silicon
05 DeepMap · United States Not disclosed
Announced Jun 2021 Closed Aug 2021
HD mappingcentimeter-level localizationmap update pipelines for AVs

DeepMap was a startup building high-definition maps that let autonomous vehicles localize themselves with centimeter-level precision, using continuously updated maps drawn from vehicle sensor data. NVIDIA acquired the company to fold its mapping and localization technology into the NVIDIA DRIVE self-driving platform.

Why it was attractive
  • Proven HD-map and localization technology plus an experienced AV mapping team
DeepMap is expected to extend our mapping products, help us scale worldwide map operations and expand our full self-driving expertise.Ali Kani — Vice President and General Manager, Automotive, NVIDIA
06 Bright Computing · United States / Netherlands Not disclosed
Announced Jan 2022 Closed Jan 2022
Bright Cluster ManagerHPC cluster provisioning and orchestrationedge-to-cloud management

Bright Computing made software for provisioning and managing high-performance computing systems, with its Bright Cluster Manager used by more than 700 organizations. The software spans Arm and x86 CPUs, NVIDIA GPUs and Kubernetes containers, running at the edge, in datacenters and across hybrid clouds. NVIDIA acquired it to simplify HPC cluster deployment and management.

Why it was attractive
  • Widely deployed cluster manager and 700+ organization install base complementary to NVIDIA DGX/HPC
NVIDIA is changing the world as we know it, and we couldn't be more excited for our team and software to play a part in that.Bill Wagner — CEO, Bright Computing
07 Excelero · Tel Aviv, Israel Not disclosed
Announced Mar 2022 Closed Mar 2022
NVMesh software-defined block storageNVMe flash virtualizationKubernetes support

Excelero, based in Tel Aviv, built high-performance software-defined block storage, including its NVMesh software that pools virtual arrays of NVMe flash for cloud environments and supports Kubernetes. NVIDIA acquired the company to add block-storage capability to its enterprise software stack for HPC and AI clusters.

Why it was attractive
  • Proven high-performance storage software and an experienced Tel Aviv engineering team
The Excelero team is joining NVIDIA as demand is surging for high-performance computing and AI.Yaniv Romem — CEO and Co-founder, Excelero
08 Run:ai · Tel Aviv, Israel Not disclosed
Announced Apr 2024 Closed Apr 2024
Kubernetes GPU orchestrationcluster schedulingGPU pooling and utilization management

Run:ai built a Kubernetes-based workload management and orchestration platform that lets enterprises pool and schedule GPU resources across on-premises, cloud and hybrid environments to raise utilization. NVIDIA, a close collaborator with Run:ai since 2020, agreed to acquire the company to help customers run large, distributed AI compute more efficiently.

Why it was attractive
  • Open
  • Kubernetes-native GPU orchestration used by large enterprises managing datacenter-scale clusters
09 SchedMD (Slurm) · United States Not disclosed
Announced Dec 2025 Closed Dec 2025
Slurm open-source workload schedulingcluster resource allocationHPC/AI job management

SchedMD is the company behind Slurm, the open-source workload manager that queues, schedules and allocates compute across HPC and AI clusters and runs on more than half of the top 100 supercomputers. NVIDIA acquired SchedMD while pledging to keep distributing Slurm as vendor-neutral, open-source software and to accelerate its development for next-generation HPC and AI.

Why it was attractive
  • Stewardship of Slurm
  • the de facto scheduler across supercomputing and large AI training clusters
We're thrilled to join forces with NVIDIA, as this acquisition is the ultimate validation of Slurm's critical role in the world's most demanding HPC and AI environments.Danny Auble — CEO, SchedMD

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