NeoClouds.com
Own the category
powering AI.
"Neoclouds" is the term analysts at Morgan Stanley, SemiAnalysis and The Information now use for the GPU-native cloud category — CoreWeave, Lambda, Crusoe, Nebius. A $240B market by 2030, and one exact-match .com.
A whole market category needs a home.
Mock-up of NCI — a price-weighted index of the public & late-stage GPU-native clouds. Whoever owns neoclouds.com owns the ticker tape of the AI infrastructure era.
A new infrastructure era every decade
The cloud isn't being replaced — it's specializing. Every compute wave has produced its own purpose-built layer.
Traditional Cloud
Elastic CPUs, object storage, virtualization. Built for websites, SaaS, and data warehouses.
GPU Cloud
GPU instances arrive — but bolted onto general-purpose VMs. Long queues, weak interconnect.
AI Infrastructure
Model training scales out. Specialized fabrics, distributed training frameworks, MLOps stacks.
Neo Clouds
AI-native clouds built from silicon up — GPU-first scheduling, dense fabrics, model-as-a-service.
Neo Clouds vs Traditional Cloud
Both have their place. But when GPUs and tokens-per-dollar are the bottleneck, the architecture matters.
Traditional Cloud
Generalist- General-purpose compute
- Hundreds of services
- Slower GPU access
- Built for apps and storage
- Per-VM pricing
- Optimized for breadth
Neo Clouds
AI-first- AI-first compute fabric
- GPU-focused core stack
- Faster compute access
- Built for training & inference
- Per-GPU-hour pricing
- Optimized for AI scale
Workloads built for AI scale
Anywhere GPU compute is the constraint, neo clouds are the substrate.
AI model training
Pretraining and fine-tuning foundation models on thousands of GPUs with tight collectives.
LLM inference
Token-streaming endpoints with sub-100ms first-token latency and autoscaling per-prompt.
Robotics simulation
Massively parallel physics worlds for policy training, sim-to-real, and embodied agents.
Computer vision
Real-time video pipelines, multimodal embeddings, and high-throughput batch perception.
Enterprise AI apps
Private copilots, RAG, and agentic workflows running on tenant-isolated GPU pools.
GPU-as-a-Service
On-demand H100/H200/B200 capacity by the hour, the minute, or the token.
Skip the negotiation. Pick your closing rail — Escrow.com, GoDaddy, or Spaceship — and the domain transfers same-day on payment clearance.
- Escrow.comBuyer-protected
- GoDaddyMarketplace push
- SpaceshipDirect transfer
- Same-day push on payment clearance
- Fully clean title — 14 years registered, no UDRP
- Invoice + IP assignment included
Not ready at BIN? Pitch us.
Serious offers reviewed within 24 hours. Closing via Escrow.com, GoDaddy, or Spaceship.
The category, explained.
In-depth reference material on neoclouds — what they are, who the players are, where pricing is going.
- May 2026 · 6 min
How Neoclouds Power the AI Boom
Roughly 60% of frontier-model training in 2025 ran on neocloud capacity. The two-sided dependency between AI labs and neoclouds is now the most important structural relationship in the AI economy.
Read → - Apr 2026 · 6 min
GPU Cloud Pricing in 2026
H100 hourly fell ~80% in 36 months as neocloud capacity flooded in and 5-year depreciation schedules normalised. H200 looks like it bottoms near $2.40, B200 near $4.10 — both with most of the decline in the back half of the cycle.
Read → - Mar 2026 · 8 min
Neoclouds vs Hyperscalers
On a per-token-trained basis neoclouds are typically 40–70% cheaper than hyperscalers, mostly because they strip out generalist-cloud overhead (egress, EBS, idle vCPU) and have purpose-built networking.
Read →
Other premium names for sale
NeoClouds.com is part of the Godzilla DN portfolio of 2,887 hand-picked .com / .ai / .io names.
Someone is about to own the category.
NeoClouds.com only sells once. Lock it in at BIN, or send your best number.