Provider Comparison

Denvr vs Vast.ai

Q: Which provider offers spot instances for cost savings?

Vast.ai offers spot/preemptible instances, which can significantly reduce costs (typically 50-80% off on-demand prices) for interruptible workloads like batch processing and training with checkpoints. Denvr does not currently offer spot instances, so all usage is billed at on-demand rates. If cost optimization through spot instances is important for your workflow, Vast.ai would be the better choice.

Q: What is the minimum billing increment for each provider?

Denvr bills per-hour, while Vast.ai bills per-hour. Both providers use the same billing granularity, so this factor won't differentiate your decision.

Q: Which provider has better compliance certifications for enterprise use?

Denvr holds GDPR certification. Vast.ai holds GDPR certification. Both providers have similar compliance postures. Check with each provider directly for the most current certification status and specific compliance documentation.

Q: Which provider offers better development tools like Jupyter notebooks?

Both Denvr and Vast.ai offer built-in Jupyter notebook support, making it easy to start experimenting without additional setup. This is particularly valuable for data scientists and researchers who prefer interactive development environments. Additionally, Vast.ai offers web-based terminal access for quick debugging.

Q: Which provider has better Kubernetes support for orchestration?

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

Q: What is each provider best suited for?

Denvr is best suited for Enterprises needing sustainable, high-density compute; Canadian data residency requirements. Vast.ai excels at Absolute lowest costs; Distributed experiments. 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.

Q: Which provider offers reserved instances for long-term savings?

Denvr offers reserved instance pricing for long-term commitments, while Vast.ai 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.

Q: Which provider offers better enterprise support?

Denvr offers dedicated enterprise support options, while Vast.ai may have more limited support tiers.

Q: Which provider has better API and automation support?

Vast.ai provides a comprehensive API for programmatic control, while Denvr may require more manual management. If automation is a priority, Vast.ai's API support will streamline your infrastructure-as-code workflows.

Q: Which provider has better container and Docker support?

Vast.ai offers native container support for running Docker images, while Denvr may require additional configuration. Container support is valuable for reproducible ML pipelines and easy deployment of pre-built environments.

Denvr and Vast.ai represent contrasting approaches in the GPU cloud market for ML/AI workloads. Denvr positions itself as an enterprise-grade provider emphasizing sustainability and efficiency through 100% liquid immersion cooling in modular, high-density data centers. This enables superior Power Usage Effectiveness (PUE), making it ideal for large-scale, reliable compute with Canadian data residency options, appealing to enterprises prioritizing environmental impact, compliance (GDPR), and stable private clusters. However, its focus on private deployments may limit accessibility for smaller teams due to higher minimum commitments. In contrast, Vast.ai operates as a decentralized marketplace connecting users directly to global GPU hosts, prioritizing absolute cost minimization and flexibility. It excels in spot instances and granular filters like DLPerf/$ (deep learning performance per dollar), suiting cost-sensitive users for distributed experiments. While both bill per-hour and support GDPR, Vast.ai's peer-to-peer model introduces variability in reliability and hardware consistency. Key differentiators include Denvr's engineered efficiency for dense, multi-GPU scaling versus Vast.ai's marketplace-driven lowest prices for opportunistic usage. Denvr offers predictable performance for production workloads, while Vast.ai provides unmatched value for prototyping and bursty needs. Enterprises with sustainability mandates or residency requirements lean toward Denvr; budget-constrained researchers favor Vast.ai. Overall, Denvr delivers premium reliability at a efficiency premium, while Vast.ai democratizes access at the risk of interruptions.

Visit Denvr Visit Vast.ai

Our Recommendation

Choose Denvr for enterprise-scale deployments requiring high-density clusters, such as multi-node LLM training or production inference, especially if sustainability (low PUE via immersion cooling), Canadian data residency, or long-term stability is critical. It's suited for teams of 10+ engineers with budgets allowing per-hour on-demand pricing without spot risks, and technical needs like reliable multi-GPU interconnects. Opt for Vast.ai when absolute cost savings are paramount for small-to-medium teams (1-10 members) running fine-tuning, experiments, or distributed jobs. Its spot instances and DLPerf/$ filters shine for interruptible workloads under tight budgets (<$0.50/GPU-hour). Avoid Vast.ai for latency-sensitive production due to potential host variability; favor it for prototyping where 20-50% savings outweigh reliability trade-offs. Hybrid use—Vast.ai for dev, Denvr for prod—is viable for scaling teams.

Live Pricing

Compare real-time GPU offers from Denvr and Vast.ai

57 offers available

Provider	GPU Model	VRAM	Host Specs	Region	Price	Status
QuantaCloud Partner	A100 · H100 / H200 32–1024+ GPUs · InfiniBand	∞	Custom configs	Multiple DCs	Reserved / cluster Get a quote in 24h	Available
Vast.ai	8×NVIDIA GeForce RTX 3060 12GB VRAM	12GB	24 vCPU 126GB RAM 738GB Storage	Quebec	$0.00/GPU/hr $0.01/hr total (8×)	Sold Out
Vast.ai	6×NVIDIA GeForce RTX 3080 Ti 12GB VRAM	12GB	8 vCPU 94GB RAM 1660GB Storage	Ukraine	$0.01/GPU/hr $0.04/hr total (6×)	Sold Out
Vast.ai	6×NVIDIA GeForce RTX 3080 Ti 12GB VRAM	12GB	8 vCPU 94GB RAM 1527GB Storage	Ukraine	$0.01/GPU/hr $0.04/hr total (6×)	Sold Out
Vast.ai	NVIDIA GeForce RTX 3060 12GB VRAM	12GB	4 vCPU 23GB RAM 670GB Storage	Turkey	$0.01/GPU/hr	Sold Out
Vast.ai	NVIDIA GeForce RTX 2060 6GB VRAM	6GB	12 vCPU 15GB RAM 55GB Storage	Romania	$0.01/GPU/hr	Sold Out

QuantaCloud

Partner

Available

A100 · H100 / H200

32–1024+ GPUs · InfiniBand

Reserved / cluster

Get a quote in 24h

Vast.ai

Quebec

Sold Out

NVIDIA GeForce RTX 30608x

12GB VRAM

24 vCPU

126GB RAM

738GB Storage

625 Mbps ↑

626 Mbps ↓

$0.00/GPU/hr

$0.01/hr total (8×)

Vast.ai

Ukraine

Sold Out

NVIDIA GeForce RTX 3080 Ti6x

12GB VRAM

8 vCPU

94GB RAM

1660GB Storage

394 Mbps ↑

689 Mbps ↓

$0.01/GPU/hr

$0.04/hr total (6×)

Vast.ai

Ukraine

Sold Out

NVIDIA GeForce RTX 3080 Ti6x

12GB VRAM

8 vCPU

94GB RAM

1527GB Storage

$0.01/GPU/hr

$0.04/hr total (6×)

Vast.ai

Turkey

Sold Out

NVIDIA GeForce RTX 3060

12GB VRAM

4 vCPU

23GB RAM

670GB Storage

21 Mbps ↑

99 Mbps ↓

$0.01/GPU/hr

Vast.ai

Romania

Sold Out

NVIDIA GeForce RTX 2060

6GB VRAM

12 vCPU

15GB RAM

55GB Storage

304 Mbps ↑

224 Mbps ↓

$0.01/GPU/hr

View all 57 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

Denvr(Est. 2017)

A provider focused on high-efficiency infrastructure using 100% liquid immersion cooling for energy-efficient, high-density compute clusters.

Best For

Enterprises needing sustainable, high-density computeCanadian data residency requirements

Unique Features

Modular, liquid-immersion cooled data centers
Industry-leading Power Usage Effectiveness (PUE)

Limitations

Focus on private clusters that may exclude smaller users

Vast.ai(Est. 2018)

A decentralized marketplace for absolute lowest costs and distributed experiments.

Best For

Absolute lowest costsDistributed experiments

Unique Features

Granular search filters like DLPerf/$
Decentralized marketplace

Feature Comparison

Access Methods

Feature	Denvr	Vast.ai
SSH
Jupyter Notebooks
Web Terminal
API
Kubernetes
Containers

Billing Options

Feature	Denvr	Vast.ai
Billing Increment	per-hour	per-hour
Spot Instances
Reserved Instances
Prepaid Credits

Compliance

Certification	Denvr	Vast.ai
SOC 2
HIPAA
GDPR
ISO 27001

Support

Feature	Denvr	Vast.ai
SLA
Enterprise Support
Discord Community

Pricing Analysis

Pricing Overview

Both providers use per-hour billing, but Vast.ai extends flexibility with spot instances that can offer 30-70% discounts over on-demand rates by allowing interruptions, ideal for fault-tolerant workloads. Denvr sticks to standard on-demand per-hour without mentioned spot or reserved options, ensuring predictable costs but potentially higher baselines due to premium infrastructure. No per-second billing is noted for either, limiting micro-burst efficiency compared to providers like RunPod. For steady, long-running jobs (>24h), Denvr's stability avoids spot preemptions, reducing effective costs via uptime. Vast.ai's marketplace dynamics mean prices fluctuate with supply/demand, enabling bargain hunting via filters but requiring monitoring. Implications: Vast.ai suits variable, cost-optimized patterns like experiments; Denvr fits committed, high-utilization enterprise runs where reliability trumps savings.

Value Assessment

Vast.ai delivers superior value for small experiments and fine-tuning, where spot prices yield 2-5x better $/perf via DLPerf/$ metrics on consumer GPUs like RTX 4090s, perfect for solo devs or <1-day runs. For large training or batch inference, Denvr's efficiency (immersion cooling enables denser H100/A100 clusters) provides better long-term value, minimizing energy costs and downtime in sustained >80% utilization scenarios. Production inference favors Denvr's reliable private clusters for consistent latency, outweighing Vast.ai's variability despite lower spots. Overall, Vast.ai wins for budgets <10k/month and opportunistic use (value score: 9/10 for experiments); Denvr excels for enterprise-scale (8/10 for production), with uncertainty on exact GPU-hour rates as marketplace volatility affects Vast.ai more.

Use Case Comparison

LLM Training

Denvr recommended

Denvr

Denvr excels for large-scale LLM training with high-density, liquid-cooled clusters supporting multi-node scaling and low PUE for cost-efficient sustained runs. Private deployments ensure stable interconnects (e.g., InfiniBand) and Canadian residency for compliance-heavy enterprises, minimizing thermal throttling in dense H100 setups.

Vast.ai

Vast.ai supports distributed LLM training via spot instances across global hosts, leveraging DLPerf/$ for cost-optimized heterogeneous clusters. Suitable for medium-scale but risks interruptions and variable NVLink/peer performance, better for fault-tolerant sharded jobs.

Batch Inference

Vast.ai recommended

Denvr

Denvr's efficient infrastructure handles high-throughput batch inference reliably in private clusters, with immersion cooling enabling dense GPU packing for cost-effective large payloads. Ideal for enterprises needing consistent SLAs and data residency.

Vast.ai

Vast.ai offers lowest-cost spot access for batch jobs, with granular filters matching perf/$ needs. Handles variable scales well via marketplace but may face queueing or preemptions during peaks.

Real-time Inference

Denvr recommended

Denvr

Denvr provides stable, low-latency real-time inference through dedicated high-density clusters with superior cooling for consistent performance. Private setups ensure predictable networking and uptime for production APIs.

Vast.ai

Vast.ai enables cheap real-time setups on consumer GPUs but struggles with reliability due to host variability, potential latency spikes, and spot evictions, limiting production viability.

Fine-tuning & Experimentation

Vast.ai recommended

Denvr

Denvr suits enterprise experimentation with scalable private clusters, but higher costs and minimums may deter rapid, low-commitment iterations for smaller teams.

Vast.ai

Vast.ai is optimal for fine-tuning experiments with spot pricing, instant spin-up, and DLPerf/$ search for quick, cheap tests across diverse GPUs, perfect for iterative dev workflows.

Technical Comparison

Infrastructure

Denvr employs purpose-built, modular data centers with 100% liquid immersion cooling for bare-metal-like high-density GPU clusters, likely supporting Kubernetes and enterprise storage/networking (e.g., high-bandwidth InfiniBand). Focus on private, sovereign setups aids Canadian residency. Vast.ai's decentralized marketplace aggregates virtualized instances from global hosts, offering heterogeneous hardware without native K8s but with user-managed storage (NFS/S3) and variable networking (1-100Gbps). Vast.ai prioritizes flexibility over uniformity.

Performance

Denvr's immersion cooling yields top-tier thermal efficiency, enabling sustained high clocks on enterprise GPUs (A100/H100) with excellent multi-GPU scaling in dense nodes, low PUE (~1.03) boosting effective perf. Vast.ai provides broad GPU availability (RTX 3090-5090, A40-H100) with DLPerf benchmarks, but performance varies by host—strong for single-node, inconsistent scaling due to peer interconnects. Denvr edges in reliability; Vast.ai in cost-perfl for experiments, with limited data on Vast.ai's multi-node benchmarks.

Frequently Asked Questions

Which provider offers spot instances for cost savings?▾

Vast.ai offers spot/preemptible instances, which can significantly reduce costs (typically 50-80% off on-demand prices) for interruptible workloads like batch processing and training with checkpoints. Denvr does not currently offer spot instances, so all usage is billed at on-demand rates. If cost optimization through spot instances is important for your workflow, Vast.ai would be the better choice.

What is the minimum billing increment for each provider?▾

Denvr bills per-hour, while Vast.ai bills per-hour. Both providers use the same billing granularity, so this factor won't differentiate your decision.

Which provider has better compliance certifications for enterprise use?▾

Denvr holds GDPR certification. Vast.ai holds GDPR certification. 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?▾

Both Denvr and Vast.ai offer built-in Jupyter notebook support, making it easy to start experimenting without additional setup. This is particularly valuable for data scientists and researchers who prefer interactive development environments. Additionally, Vast.ai offers web-based terminal access for quick debugging.

Which provider has better Kubernetes support for orchestration?▾

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

What is each provider best suited for?▾

Denvr is best suited for Enterprises needing sustainable, high-density compute; Canadian data residency requirements. Vast.ai excels at Absolute lowest costs; Distributed experiments. 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?▾

Denvr offers reserved instance pricing for long-term commitments, while Vast.ai 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?▾

Denvr offers dedicated enterprise support options, while Vast.ai may have more limited support tiers.

Which provider has better API and automation support?▾

Vast.ai provides a comprehensive API for programmatic control, while Denvr may require more manual management. If automation is a priority, Vast.ai's API support will streamline your infrastructure-as-code workflows.

Which provider has better container and Docker support?▾

Vast.ai offers native container support for running Docker images, while Denvr may require additional configuration. Container support is valuable for reproducible ML pipelines and easy deployment of pre-built environments.

What unique features differentiate these providers?▾

Denvr's standout features include: Modular, liquid-immersion cooled data centers; Industry-leading Power Usage Effectiveness (PUE). Vast.ai's standout features include: Granular search filters like DLPerf/$; Decentralized marketplace. 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 Denvr, visit their website at https://www.denvrdata.com?utm_source=gpuperhour&utm_medium=referral to create an account and explore available GPU options. For Vast.ai, visit https://cloud.vast.ai/?ref_id=375842&utm_source=gpuperhour&utm_medium=referral 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.