Compute Comparison
vs
All providers →

Cirrascale vs Clore.ai: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Marketplace
Founded
2009
2022
Headquarters
San Diego, CA
Various
Billing model
On-demand, Reserved
Per-hour (marketplace, host-set pricing)
Min commitment
None
None
Support tier
Standard → Enterprise
Community
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
Visit Cirrascale
Cirrascale Rating

No reviews yet — add yours ↗

Clore.ai

Clore.ai is a peer-to-peer GPU marketplace where individual hosts rent out their hardware. The platform offers RTX 4090, RTX 3090, A100, and other GPU models at rates set by individual hosts. Because pricing is dynamic and set by the marketplace, rates can be significantly below traditional cloud providers — particularly for consumer-grade GPUs like the RTX 4090 and RTX 3090. Prices shown are estimates based on typical marketplace ranges; verify current rates at clore.ai/marketplace.

Strengths
  • Competitive RTX 4090 and RTX 3090 pricing
  • Peer-to-peer model — rates often below traditional clouds
  • Wide range of consumer and datacenter GPUs
  • No minimum commitment
Weaknesses
  • Peer-to-peer model — hardware quality and uptime varies by host
  • Prices are estimates — actual rates fluctuate by host
  • Less enterprise-grade reliability vs dedicated GPU clouds
  • Client-side marketplace — pricing not machine-readable
Best For
Cost-sensitive workloads on consumer GPUsTeams wanting RTX 4090 at below-market ratesFault-tolerant batch jobs that can handle host variability
Visit Clore.ai
Clore.ai Rating

No reviews yet — add yours ↗

Live GPU Pricing

Live prices load below.

Region Coverage

Popular Comparisons

Key differences

Cirrascale

Enterprise AI infrastructure with H100 and H200 clusters

Clore.ai

Peer-to-peer GPU marketplace — RTX 4090, RTX 3090, A100 at competitive rates

AttributeCirrascaleClore.ai
Provider typespecialistmarketplace
Billing modelOn-demand, ReservedPer-hour (marketplace, host-set pricing)
Min commitmentNoneNone
Regions1 (US)1 (Various)
Support tierStandard → EnterpriseCommunity
Best forLarge-scale AI training, Enterprise LLM workloadsCost-sensitive workloads on consumer GPUs, Teams wanting RTX 4090 at below-market rates
Founded / HQ2009 · San Diego, CA2022 · Various