Cloudzy vs Corelink: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute

Cloudzy

Corelink

Provider type

Specialist

Founded

2008

2023

Headquarters

Dubai, UAE

United States

Billing model

Monthly, Annual (35% off)

On-demand, Spot

Min commitment

1 month

None

Support tier

Standard (24/7 human support)

Community → Standard

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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Corelink

Corelink is a GPU cloud offering H100, H200, A100, and L40S instances with flexible billing, spot availability, and competitive on-demand pricing for AI training and inference workloads. The self-serve platform makes it easy to provision GPU capacity for LLM fine-tuning, distributed training, and model deployment without enterprise contracts. A straightforward on-demand GPU cloud for startups and research teams that need H100 access at competitive rates.

Strengths