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Cloudzy vs Replicate: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2008
2021
Headquarters
Dubai, UAE
San Francisco, CA
Billing model
Monthly, Annual (35% off)
Per-second serverless
Min commitment
1 month
None
Support tier
Standard (24/7 human support)
Community → 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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Replicate

Replicate is a model API platform that lets developers run thousands of open-source AI models — image generation, video, audio, LLM, and more — via a simple REST API with per-second billing and no infrastructure management. Developers can also package and deploy their own custom models using Cog, Replicate's open-source containerization tool. A top choice for teams that want to integrate AI capabilities into applications without managing GPU infrastructure, with a large community model library covering Stable Diffusion, Flux, Llama, and hundreds of other models.

Strengths
  • Thousands of community models available via API
  • Per-second billing — zero idle cost
  • Cog: open-source model packaging and deployment
  • No infrastructure management required
Weaknesses
  • Less suited for custom training or fine-tuning at scale
  • Pricing can be higher for sustained high-throughput inference
  • Limited control over underlying infrastructure
Best For
Developers integrating AI models into applicationsTeams wanting access to community model libraryRapid prototyping with pre-built models
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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

Replicate

Run AI models via API — community library, billed per second

AttributeCloudzyReplicate
Provider typespecialistspecialist
Billing modelMonthly, Annual (35% off)Per-second serverless
Min commitment1 monthNone
Regions4 (US, EU, Middle East, +1)1 (US)
Support tierStandard (24/7 human support)Community → Enterprise
Best forTeams wanting dedicated (non-shared) GPU VPS, LLM inference on RTX PRO 6000 (96 GB VRAM)Developers integrating AI models into applications, Teams wanting access to community model library
Founded / HQ2008 · Dubai, UAE2021 · San Francisco, CA