
The funding accelerates Wasabi’s push into AI‑optimized, cost‑predictable storage, challenging hyperscalers and reshaping mid‑market cloud storage dynamics.
Wasabi Technologies announced a $70 million equity round that lifts its post‑money valuation to $1.8 billion, bringing total capital raised above $600 million. The Boston‑based provider, known for its flat‑rate “hot cloud” storage without egress fees, used the oversubscribed round to fund global expansion and product development. Lead investor L2 Point Management returned, while Pure Storage joined as a strategic backer, signaling confidence in Wasabi’s shift from pure HDD‑based object storage toward AI‑ready, high‑performance tiers.
The infusion arrives at a time when AI model training is turning storage into a major cost driver. Enterprises and developers are seeking predictable pricing and low‑latency access, attributes that differentiate Wasabi from hyperscalers that charge variable egress and tiered rates. By introducing a NVMe‑based “Wasabi Fire” class and the AI‑powered metadata service Wasabi AiR, the company positions itself as a plug‑and‑play component of end‑to‑end AI pipelines. This focus on performance‑priced simplicity could attract workloads that would otherwise migrate to Amazon S3 or Google Cloud Storage.
Security has become another growth lever, illustrated by the recent Covert Copy feature that creates immutable, hidden backups resistant to ransomware and insider threats. As data‑intensive AI projects store sensitive training sets, compliance and cyber‑resilience are increasingly non‑negotiable. Wasabi’s profitable yet growth‑first stance, backed by investors such as Fidelity and Pure Storage, suggests it will double down on these differentiators while scaling to more regions. If the company sustains its price advantage and expands AI‑optimized tiers, it could reshape the mid‑market cloud storage landscape and pressure larger hyperscalers to revisit their pricing models.
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