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Cloudzy vs Hugging Face: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2008
2016
Headquarters
Dubai, UAE
New York, NY
Billing model
Monthly, Annual (35% off)
On-demand (per-second)
Min commitment
1 month
None
Support tier
Standard (24/7 human support)
Standard → Enterprise
Regions
4 regions
3 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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Hugging Face

Hugging Face Inference Endpoints provides managed, production-ready GPU deployment for any model on the Hugging Face Hub — including Llama, Mistral, Stable Diffusion, and custom fine-tunes — on AWS, Azure, and GCP infrastructure. Dedicated endpoints spin up in minutes with automatic scaling, private networking, and pay-per-second billing. Rates shown are AWS single-GPU on-demand. The platform is the natural choice for teams already using the Hugging Face ecosystem who want to move from the Hub to production inference without managing cloud infrastructure.

Strengths
  • One-click deployment of any Hugging Face Hub model
  • AWS, Azure, and GCP infrastructure options
  • Private networking and VPC support
  • Auto-scaling and pay-per-second billing
  • Tight integration with Hugging Face Hub, Datasets, and Spaces
Weaknesses
  • Higher per-GPU cost than raw cloud instances
  • Limited to Hugging Face-compatible model formats
  • Less control over underlying infrastructure vs raw GPU clouds
Best For
Teams deploying Hugging Face Hub models to productionML engineers wanting managed inference without cloud opsOrganizations needing private endpoints for sensitive modelsTeams already in the Hugging Face ecosystem
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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

Hugging Face

Inference Endpoints — managed GPU deployment for Hugging Face models on AWS, Azure, GCP

AttributeCloudzyHugging Face
Provider typespecialistspecialist
Billing modelMonthly, Annual (35% off)On-demand (per-second)
Min commitment1 monthNone
Regions4 (US, EU, Middle East, +1)3 (US, EU, APAC)
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)Teams deploying Hugging Face Hub models to production, ML engineers wanting managed inference without cloud ops
Founded / HQ2008 · Dubai, UAE2016 · New York, NY