Neoclouds Capture Growing AI Workload Traffic, Backblaze Says

Why It Matters

The trend signals that AI workloads are reshaping cloud economics and network patterns, creating new growth avenues for niche GPU‑as‑a‑service providers.

Key Takeaways

• AI traffic to neoclouds rose sharply Q4 2025.
• Peak traffic occurred in October, then stabilized higher.
• US East region dominates AI data transfers.
• Neocloud GPU pricing undercuts hyperscalers, attracting startups.
• Analysts see neoclouds as fastest‑growing cloud segment.

Pulse Analysis

The rapid expansion of AI workloads is forcing a rethink of traditional network flows. Backblaze’s latest transparency data shows that large, bursty transfers—typical of model training and inference—are now funneled through GPU‑focused neoclouds rather than conventional content delivery networks. This shift creates high‑bandwidth, latency‑critical paths, especially in regions where AI compute clusters are densely deployed, such as the US East coast. By mapping these patterns, providers can anticipate where capacity upgrades and edge‑optimised routing will be most valuable.

From a market perspective, neoclouds are carving out a niche by delivering GPU resources at prices that undercut the Big Three hyperscalers. Their flexible contracts and near‑instant provisioning appeal to AI startups and midsize firms that cannot justify the overhead of full‑stack cloud services. McKinsey’s analysis highlights that this cost advantage, combined with specialized hardware, accelerates adoption and fuels a feedback loop of demand. Consequently, neoclouds are emerging as a distinct growth engine within the broader cloud ecosystem, even as they remain smaller in aggregate spend.

Looking ahead, the regional concentration of AI traffic suggests that network architects will prioritize low‑latency links and edge compute co‑location. As Backblaze gathers more quarterly data, patterns of cyclical neocloud usage and shifting geographic hotspots will become clearer, informing decisions for ISVs, telecoms, and infrastructure investors. The emerging paradigm—AI‑centric traffic flowing through specialized clouds—signals a lasting transformation in how data moves across the internet, demanding new strategies for capacity planning, pricing models, and ecosystem partnerships.