AI SuperCloud · Silicon to endpoint
The full-stack AI Supercloud to build and scale fearlessly.
Sovereign, AI-native infrastructure for every demanding, real-world AI workload — from data centers and GPUs to inference endpoints.
From the blog
Built on the AI stack you already use
Create. Train. Serve.
Create a cluster
Pick a GPU, region, and fabric — one command spins up bare metal, VMs, or managed Kubernetes.
Submit your job
Point at your repo. We provision drivers, high-speed storage, and low-latency networking for you.
Serve & scale
Autoscale serverless inference, checkpoint on a schedule, and let the fabric heal itself — 24×7.
One vertical stack.
Deploy AI on infrastructure designed for scale, resilience, and speed — every layer engineered for AI workloads.
AI Service
Inference endpoints, fine-tuning & a prompt workbench
Platform Services
VMs, bare metal, and managed Kubernetes or Slurm
Infrastructure Services
High-throughput, low-latency backbone for AI & HPC
Infinite Infrastructure
Sovereign, sustainable, modular data centers
One API for
every GPU.
A full node per job
CUDA 12 · NCCL · SOC 2 Type II
The fleet
Every GPU, on demand.
One fabric.
Every workload.
From cluster to inference to Kubernetes — same command, same API, same fabric underneath.
Clusters
Thousand-GPU clusters, one command
Non-blocking InfiniBand fabric and NVLink inside every node. Spin up a training cluster in under a minute — no tickets, no waiting.
Inference
Serving that scales to zero and back
Autoscaling inference endpoints that spin down when idle and burst on demand. Pay per second, only while the GPUs are hot.
Platform
Managed Kubernetes, built for GPUs
GPU-aware scheduling, drivers, and observability out of the box. Run your own stack on ours, or use our managed AI platform.
The advantage
From manual toil to AI-scale leverage.
Get rid of tedious cloud cost management with automation that works in real time.
Cost Reduction
vs. hyperscale on-demand.
Committed capacity plus idle reclamation. Your finance team will notice.
Throughput
Faster iteration on large runs.
Deterministic interconnect eliminates straggler nodes in distributed training.
Low Latency
Guaranteed reduction.
Removing the limits of geography and latency to redefine how AI is deployed and scaled.
Why the world
needs NeevCloud.
Legacy cloud providers and expensive “neoclouds” often force a choice between performance and price. We believe you should have both — an AI Supercloud built from the ground up to make intelligence accessible to everyone.
No Vendor Lock-In
Move your data and models freely. We believe in technology freedom, not walled gardens.
Transparent Pricing
What you see is what you pay. No hidden egress fees or surprise billing.
Sovereign & Secure
Your data remains under your control, secured by strict global standards and local compliance.
- ✕Vendor lock-in
- ✕Unpredictable costs
- ✕Data compliance risks
- ✕Limited data sovereignty
- ✕Security vulnerabilities
- ✓AI-native infrastructure
- ✓Transparent committed-capacity pricing
- ✓Sovereign — your data stays in-region
- ✓10× throughput on dedicated fabric
- ✓24×7 support from platform engineers
The platform
Everything the workload needs.
Certified & compliant
Frequently asked questions
What is NeevCloud?+
A sovereign AI Supercloud offering scalable, AI-native infrastructure to build, train, and deploy AI applications.
How is it different from traditional cloud providers?+
It's purpose-built for AI — on-demand GPU access, transparent pricing, data sovereignty, and zero vendor lock-in.
Does NeevCloud offer data sovereignty and compliance?+
Yes. Your data stays in-region with full residency controls, enterprise-grade security, and compliance-ready infrastructure.
How quickly can I access GPU resources?+
GPUs can be provisioned in minutes, so teams start training and deploying without procurement delays.
Can NeevCloud support both startups and enterprises?+
Yes. From your first AI model to enterprise-scale workloads, the infrastructure grows with your needs.
Start building on NeevCloud today.
Join thousands of innovators training, deploying, and scaling AI without barriers.