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Cloudzy vs Lambda Labs: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2008
2012
Headquarters
Dubai, UAE
San Francisco, CA
Billing model
Monthly, Annual (35% off)
On-demand, Reserved (1yr/3yr), Committed clusters
Min commitment
1 month
None (on-demand Instances)
Support tier
Standard (24/7 human support)
Community → Enterprise
Regions
4 regions
4 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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Lambda Labs

Lambda (formerly Lambda Labs) is a purpose-built AI supercomputer cloud offering NVIDIA Vera Rubin NVL72, GB300 NVL72, HGX B300, HGX B200, and H200 GPU clusters for large-scale training and inference. Superclusters run on single-tenant infrastructure with NVIDIA Quantum-2 InfiniBand; 1-Click Clusters™ provide production-ready B200 and H100 clusters optimized for distributed workloads; on-demand Instances spin up in minutes for prototyping. SOC 2 Type II certified with single-tenant, shared-nothing architecture. Trusted by leading AI labs and enterprises for frontier model training.

Strengths
  • Vera Rubin NVL72 and GB300 NVL72 supercomputers
  • 1-Click Clusters™ for production-ready B200/H100 distributed workloads
  • Single-tenant, shared-nothing architecture
  • SOC 2 Type II, caged clusters with hardware-level isolation
  • Co-engineering support from infrastructure experts
  • No egress fees
Weaknesses
  • Premium pricing vs commodity GPU clouds
  • Sales-led process for large clusters
  • On-demand Instances have limited availability vs spot-heavy providers
Best For
Frontier model training at scaleEnterprise AI labs needing dedicated supercomputersTeams wanting managed clusters with expert co-engineeringGovernment and regulated industry AI workloads
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Region Coverage

Cloudzy — 4 regions
USEUMiddle EastAPAC (13 locations)
Lambda Labs — 4 regions
US-EastUS-WestEU-CentralAP-South

Popular Comparisons

Key differences

Cloudzy

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

Lambda Labs

The Superintelligence Cloud — supercomputers for training and inference

AttributeCloudzyLambda Labs
Provider typespecialistspecialist
Billing modelMonthly, Annual (35% off)On-demand, Reserved (1yr/3yr), Committed clusters
Min commitment1 monthNone (on-demand Instances)
Regions4 (US, EU, Middle East, +1)4 (US-East, US-West, EU-Central, +1)
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)Frontier model training at scale, Enterprise AI labs needing dedicated supercomputers
Founded / HQ2008 · Dubai, UAE2012 · San Francisco, CA