Actionable Benefits
- Understand which neocloud providers lead the market and which ones lag behind, enabling fast and confident shortlisting.
- Identify which vendors can support your Artificial Intelligence (AI) workload scale—from small training jobs to multi-thousand-Graphics Processing Unit (GPU) clusters.
- Compare providers on core operational factors like availability, reliability, Service-Level Agreements (SLAs), and security to reduce deployment risk.
- Spot providers offering true cost advantages (pricing structure, data transfer policies, platform features) to improve Total Cost of Ownership (TCO).
Research Highlights
- A comparative ranking of 14 AI-focused neocloud providers using ABI Research’s Innovation and Implementation criteria (hardware/supply chain, max cluster scale, optimization stack, adjacent services, Independent Software Vendor (ISV) co-development, interconnect; plus availability, price–performance, SLAs, security/compliance, ecosystem breadth, platform integration).
- Detailed company assessments (including Nscale, Nebius, CoreWeave, Vultr, Lambda, Crusoe, Genesis Cloud, Civo, Gcore, Denvr Dataworks, Scaleway, Cirrascale, NexGen Cloud, Hetzner) with concise justifications for scores and positioning.
- An executive view of emergent market patterns: frontier-class fabrics (InfiniBand/Quantum-X), zero-retention inference options, sovereign footprints, and platformization beyond GPU-hour billing.
Critical Questions Answered
- Which neoclouds are leaders versus mainstream versus followers, and why (including score rationale and ranking matrix)?
- Who can support frontier scale training today, and what evidence exists (e.g., MLPerf, Exemplar Cloud status, stated cluster ceilings)?
- How do vendors differ on SLA/reliability, security & compliance, and data-residency/sovereignty for regulated workloads?
- What are the trade-offs between diversified hardware roadmaps versus single-vendor strategies for supply assurance and performance?
Who Should Read This?
- Chief Information Officers (CIOs), Chief Technology Officers (CTOs), heads of AI/Machine Learning (ML), and platform engineering teams evaluating alternatives to hyperscalers for training, fine-tuning, and production inference.
- Cloud strategy, sourcing, and procurement leaders optimizing TCO and negotiating SLA/compliance terms for regulated workloads.
- Data center operators, GPU infrastructure vendors, storage/networking ISVs, and System Integrators (SIs)/consultancies aligning offerings and partnerships to neocloud buyer needs.
Companies Mentioned
