AI Cloud Infrastructure and Neocloud Providers Cheat Sheet

Updated 2026-05-21

Next Topic: Amazon Web Services (AWS) - Core Cheat Sheet

AI cloud infrastructure has split into two distinct tiers: the traditional hyperscalers (AWS, Azure, GCP) offering broad general-purpose clouds, and a newer breed of neocloud providers (CoreWeave, Lambda Labs, Nebius, Crusoe, Nscale) purpose-built around GPU-first architecture for AI workloads. The defining difference is specialization — neoclouds strip away the overhead of legacy services to deliver 40–66% lower GPU costs and faster access to the latest accelerators. The single most important mental model is that AI infrastructure is no longer measured in FLOPS but in tokens per second per dollar, and every architectural choice — from interconnect topology to quantization format — flows from that optimization target.

What This Cheat Sheet Covers

This topic spans 16 focused tables and 107 indexed concepts. Below is a complete table-by-table outline of this topic, spanning foundational concepts through advanced details.

Table 1: Neocloud Providers — Key Players and DifferentiatorsTable 2: Hyperscalers vs. Neoclouds — Strategic ComparisonTable 3: GPU Accelerator Families — Specifications and Cloud AvailabilityTable 4: GPU Cluster Interconnects and Networking FabricsTable 5: AI-Optimized Storage and Parallel File SystemsTable 6: Capacity Pricing Models — Reserved, On-Demand, and SpotTable 7: AI Workload Scheduling and Quota ManagementTable 8: Distributed Training Parallelism StrategiesTable 9: Fine-Tuning Infrastructure PatternsTable 10: Inference Optimization TechniquesTable 11: LLM Serving Engines — vLLM, TensorRT-LLM, SGLangTable 12: NVIDIA NIM and NeMo EcosystemTable 13: Inference-Optimized Accelerators Beyond GPUsTable 14: Sovereign AI Clouds and Data ResidencyTable 15: Total Cost of Ownership and Capacity PlanningTable 16: Vendor Lock-In and Portability Strategies

Table 1: Neocloud Providers — Key Players and Differentiators

The neocloud market is no longer a fringe alternative to hyperscalers — Forrester projected neocloud revenue hitting $20 billion in 2026, with Microsoft alone committing$ 60+ billion across multi-year neocloud contracts. Understanding each provider's focus, scale, and differentiation is the first step in selecting infrastructure for AI workloads.

Provider	Example	Description
CoreWeave	Kubernetes Namespace Capacity; 8× H100 nodes with InfiniBand; $21B Meta contract	The largest neocloud; sells GPU capacity as Kubernetes namespace compute rather than traditional VMs; Q1 2026 revenue ~ $1B;$ 99.4B backlog; NVIDIA-backed.
Lambda Labs	1-click H100/B200 clusters with InfiniBand; bare metal instances; on-prem private clusters	Positions as the "AI developer cloud" with one-click cluster provisioning; launch partner for NVIDIA Vera CPU and Quantum-X800 InfiniBand; offers bare metal and on-prem private clusters.
Nebius	H100/H200 cloud; $3.50/hr H200; API + Terraform control; Finland data center	Amsterdam-based full-stack AI cloud; projected $750M-$ 1B ARR; InfiniBand networking with hourly and reserved billing; building gigawatt-scale AI factories with NVIDIA.
Crusoe	Energy-first H100/H200 clusters; Stargate OpenAI Abilene campus (200MW Phase 1)	Energy-first neocloud leveraging stranded natural gas and renewables at 30–50% lower energy costs than hyperscalers; revenues growing from $276M (2024) toward$ 2B (2026 est.).

Table 1: Neocloud Providers — Key Players and Differentiators

The neocloud market is no longer a fringe alternative to hyperscalers — Forrester projected neocloud revenue hitting

20 billion in 2026, with Microsoft alone committing

60+ billion across multi-year neocloud contracts. Understanding each provider's focus, scale, and differentiation is the first step in selecting infrastructure for AI workloads.

Provider	Example	Description
CoreWeave	Kubernetes Namespace Capacity; 8× H100 nodes with InfiniBand; $21B Meta contract	The largest neocloud; sells GPU capacity as Kubernetes namespace compute rather than traditional VMs; Q1 2026 revenue ~ $1B;$ 99.4B backlog; NVIDIA-backed.
Lambda Labs	1-click H100/B200 clusters with InfiniBand; bare metal instances; on-prem private clusters	Positions as the "AI developer cloud" with one-click cluster provisioning; launch partner for NVIDIA Vera CPU and Quantum-X800 InfiniBand; offers bare metal and on-prem private clusters.
Nebius	H100/H200 cloud; $3.50/hr H200; API + Terraform control; Finland data center	Amsterdam-based full-stack AI cloud; projected $750M-$ 1B ARR; InfiniBand networking with hourly and reserved billing; building gigawatt-scale AI factories with NVIDIA.
Crusoe	Energy-first H100/H200 clusters; Stargate OpenAI Abilene campus (200MW Phase 1)	Energy-first neocloud leveraging stranded natural gas and renewables at 30–50% lower energy costs than hyperscalers; revenues growing from $276M (2024) toward$ 2B (2026 est.).