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Research & Experimentation

Empower Innovation with On-Demand GPU Labs.

NeoCloudz makes it easy for researchers and educators to explore AI and data science projects without complex setup or infrastructure management. Launch isolated JupyterLab environments with instant GPU access.

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// Solution Overview

Built for Every Stage of the AI Lifecycle.

Purpose-built infrastructure aligned to your workflow — from experimentation through production deployment at scale.

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Zero-setup labs for AI research

Pre-installed frameworks, secure dataset ingestion, and one-click environment cloning — built for academic researchers, R&D teams, and educators.

Ideal For
  • Academic research, R&D, and AI experimentation
  • Hands-on training and educational workshops
  • Reproducible benchmarks and ablation studies
Highlights
  • Instant JupyterLab on B200 — zero cold-start delay
  • Pre-configured PyTorch, TensorFlow, JAX, HuggingFace
  • Secure S3-compatible dataset ingestion (AES-256, TLS 1.3)
  • One-click environment cloning to share with teammates
neocloudz — research-lab
$ neocloudz lab start --gpu b200 --image pytorch-2.4-cuda12[INFO] Provisioning isolated JupyterLab environment...[INFO] Attaching B200 GPU (192 GB HBM3e)[INFO] Pre-installing: torch, transformers, jax, datasets[OK] Lab ready — https://lab-ax7.neocloudz.io[INFO] Mounted dataset: s3://research/imagenet-1k$ python finetune.py --model vit-l --epochs 10[TRAIN] Epoch 1/10 — Loss: 1.842 — Acc: 64.3%[TRAIN] Epoch 5/10 — Loss: 0.418 — Acc: 88.1%[OK] Run complete — clone env? `neocloudz lab clone ax7`

Your AI Infrastructure Starts Here.

Request private clusters or launch on-demand AI instances on NVIDIA Blackwell B200 in under 60 seconds.

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