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Cloudzy vs QuantaCloud: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Bare-metal
Founded
2008
2021
Headquarters
Dubai, UAE
United States
Billing model
Monthly, Annual (35% off)
Reserved / On-demand
Min commitment
1 month
Varies by config
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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QuantaCloud

QuantaCloud provides bare-metal A100, H100, H200, and B300 GPU clusters with InfiniBand interconnect and no virtualization overhead, purpose-built for large-scale LLM training and multi-node distributed AI workloads. Reserved and cluster configurations are available for organizations that need dedicated GPU infrastructure with consistent performance for long-running training runs. A specialist bare-metal GPU cloud for AI labs and enterprises that need maximum cluster performance for frontier model training.

Strengths
  • Bare-metal performance
  • InfiniBand networking
  • Large cluster configs
  • H200 and B300 availability
Weaknesses
  • Bare-metal focused — requires more infrastructure management
  • Limited self-service tooling
  • Smaller ecosystem vs cloud providers
Best For
Large-scale LLM trainingMulti-node clustersReserved GPU capacity
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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

QuantaCloud

Bare-metal GPU cloud with A100, H100, and H200 clusters

AttributeCloudzyQuantaCloud
Provider typespecialistbare-metal
Billing modelMonthly, Annual (35% off)Reserved / On-demand
Min commitment1 monthVaries by config
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)Large-scale LLM training, Multi-node clusters
Founded / HQ2008 · Dubai, UAE2021 · United States