Over the past six months,$NVIDIA (NVDA.US)$the total amount of strategic investments in listed companies has reached at least USD 18 billion. This technology giant is continuously strengthening long-term partnerships while accelerating the iterative advancement of AI computing infrastructure, simultaneously maintaining a supply-demand balance downstream.
A recent investment was announced today, with NVIDIA investing USD 2 billion in$Marvell Technology (MRVL.US)$Marvell Technology. The two companies unveiled a strategic partnership aimed at connecting Marvell to NVIDIA's AI factories and AI-RAN ecosystem via NVIDIA’s NVLinkFusion, highlighting NVIDIA’s intention to collaborate with Marvell Technology to accelerate advancements in data center optical interconnect technologies.
Earlier this month, NVIDIA disclosed a USD 2 billion investment in NEBIUS, a Dutch AI infrastructure provider. This partnership will help NEBIUS deploy over 5 gigawatts (GW) of NVIDIA systems by the end of 2030.$NEBIUS (NBIS.US)$The $2 billion investment. This partnership will help NEBIUS deploy more than 5 gigawatts (GW) of NVIDIA systems by the end of 2030.
Prior to this,$NVIDIA (NVDA.US)$NVIDIA invested USD 2 billion each in optical networking companies$Lumentum (LITE.US)$and$Coherent (COHR.US)$. These investments will enable Jensen Huang-led NVIDIA to secure future access and production capacity for advanced laser and optical network products.
From the overall trend of data center optical interconnect development at OFC 2026, the industry's main focus has become very clear: the bottleneck of hyperscale AI data centers is shifting from single-chip computing power to 'cluster-level interconnect bandwidth, energy consumption, and scalability.'$Lumentum (LITE.US)$It is regarded as a key manufacturer of optical communication components (laser and optical device supplier), also shipping some optical module products and subsystems. However, its core technological advantage lies in the exclusive ability to build foundational light sources and high-speed optical device platforms. These components are extensively integrated into various optical modules and optical communication systems within large-scale AI data centers.
In AI superclusters such as TPU and GPU computing clusters, there is a core commonality: the need for extremely high bandwidth, ultra-low latency, and highly energy-efficient internal data center interconnections. Traditional copper cables or electronic switching solutions become impractical when scaling to thousands or even tens of thousands of chips due to explosive growth in power consumption and thermal losses; optical interconnect technologies (mainly including co-packaged optics CPO, silicon photonic switches, and optical circuit switches OCS) can replace electrical signals with optical signals, significantly enhancing bandwidth density and energy efficiency while reducing latency and power consumption in large-scale AI training/inference networks. This demand for higher optical interconnect technology capacity is a shared requirement for both GPU and TPU clusters.
For example,$NVIDIA (NVDA.US)$The Spectrum-X/Quantum-X silicon photonics network switches, which explicitly integrate laser and photonic technologies, enhance power efficiency and network capacity. Lumentum's high-performance lasers and optical components are indispensable parts of these switches.
Due to securing capital, production capacity, and R&D integration, particularly in key optical interconnect areas such as UHP laser/ELS/CPO/OCS, Lumentum is poised to become a primary beneficiary. Lumentum is highly likely to emerge as the "core AI arms supplier" in the upcoming wave of AI optical interconnects in data centers, especially crucial for NVIDIA’s AI GPU computing chain.
In January this year, NVIDIA$CoreWeave (CRWV.US)$invested $2 billion to assist this AI hyperscale computing service provider in accelerating the construction of over 5 gigawatts of AI factories by 2030.
$NVIDIA (NVDA.US)$At the end of 2025, for $5 billion,$Intel (INTC.US)$a substantial number of shares were purchased from
"This historic collaboration tightly integrates NVIDIA’s AI and accelerated computing stack with Intel’s CPUs and the vast x86 ecosystem—marking the fusion of two world-class platforms," said Jensen Huang. "Together, we will expand the ecosystem and lay the foundation for the next era of computing."
By the end of 2025, NVIDIA also$Synopsys (SNPS.US)$made a $2 billion investment in Synopsys stock, aiming to integrate NVIDIA’s AI and accelerated computing strengths with Synopsys’ engineering solutions. This is expected to enable R&D teams to design, simulate, and validate intelligent products with higher precision, speed, and lower costs.
In October last year, NVIDIA announced an investment in$Nokia Oyj (NOK.US)$An investment of $1 billion to integrate each other's technologies will help both parties become leaders in the AI-driven networking field.
$NVIDIA (NVDA.US)$Recently, partnerships have also been established with a wide range of energy companies, such as$SLB Ltd (SLB.US)$、$The AES Corp (AES.US)$、$NextEra Energy (NEE.US)$and$Vistra Energy (VST.US)$, to ensure the power supply for its AI factories.
Although not a publicly listed company, NVIDIA’s largest single investment during this period was the $30 billion investment in OpenAI confirmed in late February. NVIDIA has made significant investments in dozens of AI-related startups, including OpenAI's core competitor Anthropic and xAI.
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Editor/Melody