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Cirrascale vs GPUniq: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Marketplace
Founded
2009
2023
Headquarters
San Diego, CA
Various
Billing model
On-demand, Reserved
Per-second (marketplace)
Min commitment
None
None
Support tier
Standard → Enterprise
Standard
Regions
1 regions
1 regions

Strengths & Best For

Cirrascale

Cirrascale Cloud Services provides enterprise-grade AI infrastructure featuring H100 NVL, H100 SXM5, and H200 GPU clusters with InfiniBand networking for high-throughput distributed LLM training and large-scale AI workloads. Dedicated cluster deployments and reserved configurations give enterprises full control over their GPU infrastructure without shared-tenancy concerns. A specialist provider for AI labs and enterprises that need dedicated H100 or H200 cluster capacity at scale.

Strengths
  • H100/H200 cluster focus
  • InfiniBand networking
  • Dedicated deployments
  • Enterprise SLAs
Weaknesses
  • Bare-metal focused — requires more infrastructure management
  • Limited self-service tooling
  • Smaller ecosystem vs cloud providers
Best For
Large-scale AI trainingEnterprise LLM workloadsDedicated cluster users
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GPUniq

GPUniq is a live GPU marketplace offering a wide range of hardware including NVIDIA B200 192GB, H200 141GB, H100 80GB, A100 80GB, and RTX 4090 with per-second billing. Prices are dynamic and set by marketplace supply and demand — observed minimums range from $0.48/hr (A100) to $9.42/hr (B200). The marketplace model means pricing can be significantly below fixed-rate providers during low-demand periods. A strong option for teams that want access to next-generation hardware (B200, H200) at marketplace rates.

Strengths
  • B200 192GB and H200 141GB availability
  • Per-second billing — pay only for what you use
  • Dynamic marketplace pricing — can be well below fixed rates
  • Wide GPU catalog from RTX 4090 to B200
Weaknesses
  • Marketplace model — prices and availability fluctuate
  • No guaranteed availability for specific GPU models
  • Newer provider — limited public track record
Best For
Teams wanting B200 or H200 at marketplace ratesCost-sensitive workloads with flexible schedulingShort-burst GPU jobs benefiting from per-second billing
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Live GPU Pricing

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Region Coverage

Popular Comparisons

Key differences

Cirrascale

Enterprise AI infrastructure with H100 and H200 clusters

GPUniq

GPU marketplace — B200, H200, H100, A100, RTX 4090 with per-second billing

AttributeCirrascaleGPUniq
Provider typespecialistmarketplace
Billing modelOn-demand, ReservedPer-second (marketplace)
Min commitmentNoneNone
Regions1 (US)1 (Various)
Support tierStandard → EnterpriseStandard
Best forLarge-scale AI training, Enterprise LLM workloadsTeams wanting B200 or H200 at marketplace rates, Cost-sensitive workloads with flexible scheduling
Founded / HQ2009 · San Diego, CA2023 · Various