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Wasabi Raises New Equity to Scale AI-First Object Storage, SSD Supply Conditions Could Shape the Pace of Its NVMe Expansion
Latest funding reinforces its push toward AI-adjacent, performance-oriented object storage, while enterprise flash availability and pricing pressure may introduce near-term execution friction
1/21/2026
Key Highlights
Wasabi announced a $70M equity financing round intended to accelerate expansion of its cloud storage infrastructure and global footprint.
The company continues to expand its portfolio beyond core object storage economics, including NVMe-backed performance capabilities and AI-oriented data services.
Across the industry, performance-oriented offerings will increasingly intersect with broader enterprise SSD supply and pricing conditions.
The News
Wasabi Technologies announced a new equity financing round led by L2 Point Management, intended to accelerate its expansion of AI-first cloud storage, broaden its global presence, and enhance its product portfolio to address growing enterprise demand for scalable, cost-predictable data services. For more information, see the company press release.
Analyst Take
Broadly, the cloud-based data resilience and backup market is getting more competitive. Commvault, Rubrik, and Veeam are gaining traction, with specialist players like FalconStor also finding their footing. Gaining traction in this space is not for the faint of heart; it requires deep pockets.
Against this backdrop, and in our view, this announcement continues the trajectory we’ve observed in Wasabi’s strategic evolution, driving a shift from cost-centric object storage toward an increasingly performance-oriented, AI-adjacent infrastructure platform. Wasabi frames storage as a foundational layer for AI workloads, and this funding supports that positioning.
The strategic backdrop is straightforward. Object storage remains a central architecture for unstructured data at scale, and enterprise storage conversations are increasingly shaped by AI workload requirements, including throughput, latency, and operational predictability. Wasabi is leaning into this reality by pairing its pricing model with a growing set of capabilities intended to make its platform more relevant for performance-sensitive and AI-connected pipelines.
At the same time, Wasabi’s growth aspirations for NVMe-backed services arrive as flash supply conditions remain a topic of concern across the infrastructure market. The risk is not whether SSDs exist in the market, but whether the pace of Wasabi’s performance expansion can remain predictable across regions and customer demand curves, while preserving the economic simplicity that has been central to its differentiation. If SSD availability tightens or input costs rise, vendors with flash-dependent roadmaps can face tradeoffs between rollout speed, cost discipline, and customer pricing consistency.
Pure Storage’s participation in the round is notable in this context. While investment alone does not resolve macro supply dynamics, it does signal alignment with an ecosystem player that has deep experience in flash-centric infrastructure. That relationship may prove helpful as Wasabi scales performance-oriented offerings and navigates the practical realities of sourcing, deployment, and optimization for SSD-heavy tiers.
It is also worth noting that Wasabi Fire’s NVMe, SSD-backed roadmap is not purely internal. In its Fire announcement, Wasabi tied the Silicon Valley rollout to infrastructure co-located with IBM Cloud, which means IBM Cloud’s SSD capacity and pricing dynamics can influence Fire’s rollout pace, regional availability, and economics if flash supply tightens or allocations shift.
What Was Announced
Wasabi Technologies has raised $70M in new equity financing to support its next phase of growth. The round was led by L2 Point Management, with participation from Pure Storage and existing investors including Fidelity Management & Research Company. Wasabi said the financing values the company at $1.8B and brings its total capital raised to more than $600M.
Wasabi stated it will use the new funding to expand its position in the next era of data infrastructure, with planned investments to accelerate AI infrastructure expansion, broaden its global footprint, and enhance its product portfolio. The company highlighted its focus on supporting data-intensive workloads such as generative AI and autonomous systems, and emphasized its approach to cloud storage economics, including a model designed to eliminate egress fees and API request fees.
Wasabi also referenced recent and ongoing product initiatives, including Wasabi AiR, an AI-powered metadata tagging capability, and Wasabi Fire. The company cited security-related capabilities, including multi-user authorization and Covert Copy, a ransomware-resistant feature. Statements from its leadership and investors emphasized the role of storage as a foundational layer for AI and data infrastructure. Wasabi noted continued expansion and customer adoption across industries, and its intent to further scale cloud storage capacity and services globally.
Looking Ahead
Wasabi is investing in AI-aligned storage expansion and positioning itself against larger cloud storage incumbents. Continued momentum in cloud-based backup and data resilience platforms should keep expanding the addressable footprint for cost-predictable object storage, which remains a favorable tailwind for Wasabi’s growth. That said, the considerations around flash availability and pricing remain prospective risks rather than factors already influencing execution.
We will be watching for observable expansion of performance-oriented storage availability, clarity in how Wasabi differentiates pricing and packaging for high-performance tiers, and any evidence that procurement or deployment cadence may be impacting rollout plans. If Wasabi begins to emphasize supply strategy, partner-enabled procurement, or tiering guidance that reflects flash availability realities, those signals would validate that this risk is becoming more material to execution outcomes.
From a customer perspective, this is a useful moment to evaluate how Wasabi’s performance roadmap aligns with near-term workload priorities. For buyers pursuing AI pipelines where data access speed and predictability matter, Wasabi’s direction is increasingly relevant. We will be watching whether Wasabi can scale those capabilities consistently across regions and customer segments, while sustaining the cost predictability and operational simplicity that have been central to its market appeal.
Don Gentile | Analyst-in-Residence -- Storage & Data Resiliency
Don Gentile brings three decades of experience turning complex enterprise technologies into clear, differentiated narratives that drive competitive relevance and market leadership. He has helped shape iconic infrastructure platforms including IBM z16 and z17 mainframes, HPE ProLiant servers, and HPE GreenLake — guiding strategies that connect technology innovation with customer needs and fast-moving market dynamics.
His current focus spans flash storage, storage area networking, hyperconverged infrastructure (HCI), software-defined storage (SDS), hybrid cloud storage, Ceph/open source, cyber resiliency, and emerging models for integrating AI workloads across storage and compute. By applying deep knowledge of infrastructure technologies with proven skills in positioning, content strategy, and thought leadership, Don helps vendors sharpen their story, differentiate their offerings, and achieve stronger competitive standing across business, media, and technical audiences.