Cloudzy vs EcoHash: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute

Cloudzy

EcoHash

Provider type

Specialist

Founded

2008

2024

Headquarters

Dubai, UAE

United States

Billing model

Monthly, Annual (35% off)

On-demand

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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EcoHash

EcoHash is a GPU cloud offering NVIDIA RTX PRO 6000 Blackwell instances with 96GB GDDR7 VRAM alongside an open-model inference API, making it one of the few providers offering the latest RTX PRO 6000 hardware for large-context AI inference and training. The open-model API enables developers to access popular open-source models without managing infrastructure. A strong choice for teams that need maximum VRAM on RTX-class hardware for large-model inference.

Strengths

RTX PRO 6000 Blackwell — 96GB GDDR7 VRAM
Open-model inference API
Large-context inference capability
Competitive RTX PRO 6000 pricing

Weaknesses

Very new provider — limited track record
Smaller scale vs established providers
Limited documentation and ecosystem

Best For

Large-context LLM inference needing maximum VRAMTeams wanting RTX PRO 6000 on-demandOpen-model API users

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Region Coverage

Cloudzy — 4 regions

USEUMiddle EastAPAC (13 locations)

EcoHash — 1 regions

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Provider pages

Cloudzy pricing and specs EcoHash pricing and specs

Key differences

Cloudzy

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

EcoHash

RTX PRO 6000 GPU cloud with an open-model inference API

AttributeCloudzyEcoHash

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)Community → Standard

Best forTeams wanting dedicated (non-shared) GPU VPS, LLM inference on RTX PRO 6000 (96 GB VRAM)Large-context LLM inference needing maximum VRAM, Teams wanting RTX PRO 6000 on-demand

Founded / HQ2008 · Dubai, UAE2024 · United States