Provider Comparison

Cirrascale vs QuantaCloud

Cirrascale and QuantaCloud are both GPU cloud providers offering compute resources for machine learning and AI workloads. Each provider has its own strengths in terms of pricing, features, and target use cases. When evaluating these options, consider factors such as your budget constraints, required GPU types, geographic requirements, and the level of support you need. Both providers serve the growing demand for cloud GPU resources, but they may differ significantly in their approach to billing, available hardware, and additional services.

Visit Cirrascale Visit QuantaCloud

Our Recommendation

Choose Cirrascale if their specific features and pricing model align with your requirements. Consider QuantaCloud if you need different capabilities or pricing structures. We recommend testing both platforms with a small workload before committing to understand which better fits your workflow and budget.

Live Pricing

Compare real-time GPU offers from Cirrascale and QuantaCloud

99 offers available

Provider	GPU Model	VRAM	Host Specs	Region	Price	Status
QuantaCloud Partner	A100 · H100 / H200 · B200 / B300 32–1024+ GPUs · InfiniBand	∞	Custom configs	Multiple DCs	Reserved / cluster Get a quote in 24h	Available
Cirrascale	8×NVIDIA RTX A4000 16GB VRAM	16GB	40 vCPU 256GB RAM 2610GB Storage	United States	$0.27/GPU/hr $2.16/hr total (8×)
Cirrascale	8×NVIDIA RTX A4000 16GB VRAM	16GB	40 vCPU 256GB RAM 2610GB Storage	United States	$0.31/GPU/hr $2.48/hr total (8×)
QuantaCloud	8×NVIDIA A30 24GB VRAM	24GB	94 vCPU 384GB RAM 2048GB Storage	🌍global	$0.31/GPU/hr $2.50/hr total (8×)	Sold Out
QuantaCloud	2×NVIDIA A30 24GB VRAM	24GB	30 vCPU 96GB RAM 512GB Storage	🌍global	$0.32/GPU/hr $0.63/hr total (2×)	Sold Out
QuantaCloud	4×NVIDIA A30 24GB VRAM	24GB	50 vCPU 192GB RAM 1024GB Storage	🌍global	$0.32/GPU/hr $1.27/hr total (4×)	Sold Out

QuantaCloud

Partner

Available

A100 · H100 / H200 · B200 / B300

32–1024+ GPUs · InfiniBand

Reserved / cluster

Get a quote in 24h

Cirrascale

United States

NVIDIA RTX A40008x

16GB VRAM

40 vCPU

256GB RAM

2610GB Storage

$0.27/GPU/hr

$2.16/hr total (8×)

Cirrascale

United States

NVIDIA RTX A40008x

16GB VRAM

40 vCPU

256GB RAM

2610GB Storage

$0.31/GPU/hr

$2.48/hr total (8×)

QuantaCloud

🌍global

Sold Out

NVIDIA A308x

24GB VRAM

94 vCPU

384GB RAM

2048GB Storage

$0.31/GPU/hr

$2.50/hr total (8×)

QuantaCloud

🌍global

Sold Out

NVIDIA A302x

24GB VRAM

30 vCPU

96GB RAM

512GB Storage

$0.32/GPU/hr

$0.63/hr total (2×)

QuantaCloud

🌍global

Sold Out

NVIDIA A304x

24GB VRAM

50 vCPU

192GB RAM

1024GB Storage

$0.32/GPU/hr

$1.27/hr total (4×)

View all 99 offers

QuantaCloud

Comparing providers? We broker across all of them.

Stop tab-switching between pricing pages. Tell us what you need — 16+ GPUs, reserved or cluster capacity — and we return one quote at partner rates within 24 hours.

No waitlist24hr quote turnaroundInfiniBand fabric

Cirrascale(Est. 2010)

An AI Innovation Cloud targeting deep learning and HPC research with dedicated performance on non-virtualized hardware.

Best For

Research teams needing consistent, non-virtualized multi-GPU performance for long-training jobs

Unique Features

Diverse hardware stack including Qualcomm, AMD, and NVIDIA accelerators
Bare-metal dedicated servers

Limitations

Lack of spot elasticity
Monthly billing model prohibiting short-term burst usage

QuantaCloud

Feature Comparison

Access Methods

Feature	Cirrascale	QuantaCloud
SSH
Jupyter Notebooks
Web Terminal
API
Kubernetes
Containers

Billing Options

Feature	Cirrascale	QuantaCloud
Billing Increment	monthly	unknown
Spot Instances
Reserved Instances
Prepaid Credits

Compliance

Certification	Cirrascale	QuantaCloud
SOC 2
HIPAA
GDPR
ISO 27001

Support

Feature	Cirrascale	QuantaCloud
SLA
Enterprise Support
Discord Community

Pricing Analysis

Pricing Overview

Both Cirrascale and QuantaCloud offer GPU cloud computing with different pricing approaches. Compare their billing increments, spot instance availability, and reserved capacity options to find the best fit for your usage patterns.

Value Assessment

The value proposition depends on your specific use case. For short, bursty workloads, per-second billing may offer better value. For sustained training runs, reserved instances or committed use discounts could significantly reduce costs.

Use Case Comparison

LLM Training

Either works

Cirrascale

Cirrascale can be used for LLM training workloads. Evaluate their multi-GPU offerings and network bandwidth for distributed training scenarios.

QuantaCloud

QuantaCloud can be used for LLM training workloads. Check their availability of high-end GPUs and InfiniBand connectivity for optimal performance.

Batch Inference

Either works

Cirrascale

Cirrascale supports batch inference workloads. Consider their spot instance pricing for cost-effective batch processing.

QuantaCloud

QuantaCloud supports batch inference workloads. Evaluate their queue management and auto-scaling capabilities.

Real-time Inference

Either works

Cirrascale

Cirrascale can serve real-time inference needs. Check their latency characteristics and uptime guarantees.

QuantaCloud

QuantaCloud can serve real-time inference needs. Evaluate their SLA and geographic availability for your users.

Fine-tuning & Experimentation

Either works

Cirrascale

Cirrascale is suitable for fine-tuning and experimentation. Consider their Jupyter notebook support and ease of setup.

QuantaCloud

QuantaCloud is suitable for fine-tuning and experimentation. Evaluate their development tools and iteration speed.

Technical Comparison

Infrastructure

Both providers offer GPU compute infrastructure. Key differences may include virtualization approach (bare metal vs VMs), storage options, networking capabilities, and container/Kubernetes support. Review their documentation for specific technical details.

Performance

Performance can vary based on GPU type, workload characteristics, and infrastructure configuration. We recommend running benchmarks on both platforms with your specific workloads to measure actual performance differences.

Frequently Asked Questions

What is the minimum billing increment for each provider?▾

Cirrascale bills monthly, while QuantaCloud bills unknown. Consider your typical workload duration when evaluating which billing model offers better value for your use case.

Which provider has better compliance certifications for enterprise use?▾

Cirrascale holds no publicly listed certifications. QuantaCloud holds no publicly listed certifications. Both providers have similar compliance postures. Check with each provider directly for the most current certification status and specific compliance documentation.

Which provider offers better development tools like Jupyter notebooks?▾

Neither provider offers built-in Jupyter notebook support, so you'll need to set up your own development environment. Both providers support SSH access, allowing you to install JupyterLab or other tools on your instances.

Which provider has better Kubernetes support for orchestration?▾

Cirrascale offers native Kubernetes support for container orchestration, while QuantaCloud does not. If you're building production ML pipelines with Kubernetes-based tools like Kubeflow, Argo, or KServe, Cirrascale will integrate more seamlessly with your workflow.

What is each provider best suited for?▾

Cirrascale is best suited for Research teams needing consistent, non-virtualized multi-GPU performance for long-training jobs. QuantaCloud excels at general GPU cloud workloads. Understanding these specializations helps you choose the provider that aligns with your primary use case, though both can handle a variety of GPU computing needs.

Which provider offers reserved instances for long-term savings?▾

Cirrascale offers reserved instance pricing for long-term commitments, while QuantaCloud does not currently offer this option. Reserved instances are ideal for predictable, steady-state workloads like always-on inference services. For variable workloads, on-demand or spot instances may offer better flexibility.

Which provider offers better enterprise support?▾

Cirrascale offers dedicated enterprise support options, while QuantaCloud may have more limited support tiers. Regarding SLAs: Cirrascale offers SLA guarantees; QuantaCloud has no published SLA.

Which provider has better API and automation support?▾

Neither provider prominently advertises API access for automation. Check their documentation for programmatic instance management options.

Which provider has better container and Docker support?▾

Container support details are not prominently listed for either provider. Check their documentation for Docker and container runtime compatibility.

What unique features differentiate these providers?▾

Cirrascale's standout features include: Diverse hardware stack including Qualcomm, AMD, and NVIDIA accelerators; Bare-metal dedicated servers. QuantaCloud does not highlight specific unique features. These differentiators may be decisive factors depending on your specific technical requirements and workflow preferences.

How do I get started with each provider?▾

To get started with Cirrascale, visit their website at https://www.cirrascale.com?utm_source=gpuperhour&utm_medium=referral to create an account and explore available GPU options. For QuantaCloud, visit https://quantacloud.net to sign up. Both providers typically offer some form of free credits or trial period for new users. We recommend starting with a small experiment to evaluate the platform's ease of use, instance launch times, and overall fit for your workflow before committing to larger workloads.