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Cloudzy vs Lightning AI: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Cloudzy and Lightning AI. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Provider type
Specialist
Specialist
Founded
2008
2019
Headquarters
Dubai, UAE
New York, NY
Billing model
Monthly, Annual (35% off)
On-demand
Min commitment
1 month
None
Support tier
Standard (24/7 human support)
Standard → Enterprise
Regions
4 regions
1 regions

Strengths & Best For

Cloudzy

Cloudzy offers dedicated GPU VPS plans with RTX PRO 6000 Blackwell (96 GB GDDR7 ECC), Nvidia A100 (80 GB HBM2e), RTX 5090 (32 GB GDDR7), and RTX 4090 (24 GB GDDR6X) in 1× to 4× configurations. Annual pricing (35% off): RTX PRO 6000 $845/mo, A100 $714/mo, RTX 5090 $649/mo, RTX 4090 $506/mo. Monthly pricing: RTX PRO 6000 $1,300/mo, A100 $1,099/mo, RTX 5090 $999/mo, RTX 4090 $779/mo. All plans include CUDA pre-installed, AMD EPYC + DDR5, pure NVMe storage, 40 Gbps uplinks, and no egress fees. 14-day money-back guarantee. 13 global locations. Independent since 2008, rated 4.6/5 on Trustpilot. Accepts crypto (BTC, XMR, USDT).

Strengths
  • RTX PRO 6000 Blackwell (96 GB GDDR7 ECC) — dedicated passthrough
  • CUDA pre-installed — PyTorch, TF, JAX ready out of the box
  • 40 Gbps uplinks, no egress fees, pure NVMe storage
  • 35% annual discount — RTX PRO 6000 $845/mo, A100 $714/mo
  • 14-day money-back guarantee
  • Accepts BTC, XMR, USDT crypto payments
Weaknesses
  • Monthly billing only — no per-hour or per-second options
  • No InfiniBand — multi-node training over standard Ethernet only
  • Smaller provider — limited scale vs hyperscalers
Best For
Teams wanting dedicated (non-shared) GPU VPSLLM inference on RTX PRO 6000 (96 GB VRAM)Long-running training jobs on dedicated hardwareCrypto-native teams
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Lightning AI

Lightning AI is an AI development platform offering on-demand GPU instances from T4 to H200, purpose-built for AI researchers and ML engineers. The platform combines cloud GPU access with managed AI Studios (collaborative notebooks), Lightning Apps (production ML pipelines), and Fabric (distributed training). Competitive on-demand pricing across a range of NVIDIA GPUs makes it a practical choice for teams that want GPU compute tightly integrated with an ML development workflow rather than raw infrastructure.

Strengths
  • Managed AI Studios — collaborative GPU notebooks
  • Lightning Fabric for distributed training
  • T4 to H200 on-demand with transparent pricing
  • ML-first platform — compute + workflow in one product
  • Strong open-source community (PyTorch Lightning)
Weaknesses
  • Platform lock-in vs raw GPU clouds
  • Smaller GPU catalog than hyperscalers
  • Less suitable for pure infrastructure teams
Best For
ML researchers and engineers wanting GPU + workflow platformTeams using PyTorch Lightning for distributed trainingCollaborative AI development with managed notebooksOn-demand GPU access without raw infrastructure management
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Live GPU Pricing

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Region Coverage

Cloudzy — 4 regions
USEUMiddle EastAPAC (13 locations)

Popular Comparisons

Key differences

Cloudzy

RTX PRO 6000 $845/mo, A100 $714/mo, RTX 5090 $649/mo — dedicated GPU VPS, CUDA pre-installed

Lightning AI

AI training platform — T4 to H200 on-demand with managed notebooks and studios

AttributeCloudzyLightning AI
Provider typespecialistspecialist
Billing modelMonthly, Annual (35% off)On-demand
Min commitment1 monthNone
Regions4 (US, EU, Middle East, +1)1 (US)
Support tierStandard (24/7 human support)Standard → Enterprise
Best forTeams wanting dedicated (non-shared) GPU VPS, LLM inference on RTX PRO 6000 (96 GB VRAM)ML researchers and engineers wanting GPU + workflow platform, Teams using PyTorch Lightning for distributed training
Founded / HQ2008 · Dubai, UAE2019 · New York, NY