Provider Comparison

AWS vs Denvr

AWS and Denvr represent contrasting approaches in GPU cloud infrastructure for ML/AI workloads. AWS, the market leader, offers a comprehensive ecosystem with seamless integration across services like SageMaker for end-to-end ML pipelines, proprietary chips (Trainium for training, Inferentia for inference), and global availability across dozens of regions. It's ideal for enterprises needing scalability, redundancy via multiple AZs, and compliance with standards like HIPAA and SOC 2. However, its pricing complexity, including egress fees, and higher baseline costs can challenge budget-conscious users. Denvr differentiates through sustainability and efficiency, employing 100% liquid immersion cooling in modular data centers to achieve industry-leading PUE, enabling high-density GPU clusters with lower energy costs. Tailored for Canadian data residency and eco-focused enterprises, it prioritizes private clusters for consistent performance but may not suit smaller teams due to its focus on dedicated resources. Billing is straightforward per-hour, contrasting AWS's per-second granularity. AWS excels in versatility and managed services, suiting complex, integrated workflows, while Denvr provides cost-effective, green high-performance compute for sustained workloads. The choice hinges on priorities: global scale and tooling (AWS) versus density, efficiency, and regional compliance (Denvr). Both support NVIDIA GPUs, but AWS offers broader instance variety and spot pricing for savings.

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Our Recommendation

Choose AWS for large enterprises (100+ engineers) with multi-cloud integrations, global latency needs, or managed ML ops via SageMaker—especially if leveraging spot instances for variable workloads or requiring HIPAA compliance. It's suited for budgets allowing premium pricing in exchange for reliability and ecosystem depth. Opt for Denvr when prioritizing sustainability, Canadian data sovereignty, or high-density clusters for steady, long-running jobs. Ideal for mid-sized teams (20-100) focused on cost-per-flop efficiency in private deployments, with per-hour billing suiting predictable usage. Avoid Denvr for small experiments or bursty needs due to minimum commitments; AWS is better for rapid prototyping. Evaluate total ownership cost including power savings for Denvr in dense setups.

Live Pricing

Compare real-time GPU offers from AWS and Denvr

30 offers available

Provider	GPU Model	VRAM	Host Specs	Region	Price
AWS	NVIDIA Tesla T4 16GB VRAM	16GB	4 vCPU 16GB RAM	Virginia	$0.53/GPU/hr
Denvr	4×NVIDIA A40 48GB VRAM	48GB	128 vCPU 512GB RAM 7600GB Storage	Virginia	$0.65/GPU/hr $2.60/hr total (4×)
AWS	NVIDIA Tesla T4 16GB VRAM	16GB	8 vCPU 32GB RAM	Virginia	$0.75/GPU/hr
AWS	4×NVIDIA Tesla T4 16GB VRAM	16GB	48 vCPU 192GB RAM	Virginia	$0.98/GPU/hr $3.91/hr total (4×)
AWS	NVIDIA RTX A6000 48GB VRAM	48GB	4 vCPU 16GB RAM	Virginia	$1.01/GPU/hr

AWS

Virginia

NVIDIA Tesla T4

16GB VRAM

4 vCPU

16GB RAM

$0.53/GPU/hr

Denvr

Virginia

NVIDIA A404x

48GB VRAM

128 vCPU

512GB RAM

7600GB Storage

$0.65/GPU/hr

$2.60/hr total (4×)

AWS

Virginia

NVIDIA Tesla T4

16GB VRAM

8 vCPU

32GB RAM

$0.75/GPU/hr

AWS

Virginia

NVIDIA Tesla T44x

16GB VRAM

48 vCPU

192GB RAM

$0.98/GPU/hr

$3.91/hr total (4×)

AWS

Virginia

NVIDIA RTX A6000

48GB VRAM

4 vCPU

16GB RAM

$1.01/GPU/hr

View all 30 offers

AWS(Est. 2006)

The dominant force in global cloud computing with deep integration of GPUs into its ecosystem for machine learning and other services.

Best For

Large-scale enterprises requiring deep integration with other cloud servicesOrganizations needing globally redundant availability zones

Unique Features

Proprietary silicon like Trainium and Inferentia chips
Fully managed ML development environment with SageMaker

Limitations

High cost relative to specialized clouds
Complexity of pricing including egress fees

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

Feature Comparison

Access Methods

Feature	AWS	Denvr
SSH
Jupyter Notebooks
Web Terminal
API
Kubernetes
Containers

Billing Options

Feature	AWS	Denvr
Billing Increment	per-second	per-hour
Spot Instances
Reserved Instances
Prepaid Credits

Compliance

Certification	AWS	Denvr
SOC 2
HIPAA
GDPR
ISO 27001

Support

Feature	AWS	Denvr
SLA
Enterprise Support
Discord Community

Pricing Analysis

Pricing Overview

AWS employs per-second billing for on-demand instances, enabling fine-grained cost control, with spot instances offering up to 90% discounts for interruptible workloads and reserved instances for 1-3 year commitments yielding 40-75% savings. This suits variable ML patterns but introduces complexity via data transfer egress fees (up to $0.09/GB) and tiered GPU pricing (e.g., p4d.24xlarge at ~$32/hr). Denvr uses per-hour billing for private clusters, providing predictability without spots or reservations mentioned, potentially higher entry for small users but lower effective rates via energy-efficient cooling. Hourly granularity favors steady usage over AWS's burst-friendly model, though lacks public spot equivalents.

Value Assessment

For small experiments or fine-tuning, AWS delivers superior value through per-second billing and spots, minimizing costs for short runs (e.g., hours). Large training runs favor Denvr's efficiency in high-density clusters, where immersion cooling reduces power costs by 30-40%, offsetting hourly billing for multi-day jobs. Production inference benefits AWS via Inferentia/Trainium for cost-optimized scaling and global edges. Batch inference leans Denvr for sustained density without AWS's egress penalties. Overall, AWS wins for flexibility/bursts; Denvr for long-haul efficiency if workloads exceed 80% utilization.

Use Case Comparison

LLM Training

AWS recommended

AWS

AWS excels with massive scale via p5 instances (8x H100s), Trainium clusters for distributed training, and SageMaker for managed orchestration. Spot instances cut costs for long runs; global AZs ensure redundancy. Handles petabyte-scale datasets with EFS/S3 integration, though high list prices (~$98/hr for p5) require optimization.

Denvr

Denvr suits via high-density liquid-cooled clusters for efficient multi-GPU scaling, ideal for sustained high-utilization training. Canadian residency aids compliance; low PUE lowers effective costs. Limited to private setups, best for dedicated long runs but less flexible for dynamic scaling.

Batch Inference

Either works

AWS

AWS strong with Inferentia for cost-effective batch jobs, auto-scaling via ECS/EKS, and spot savings. Integrates with Lambda/SageMaker Batch for serverless efficiency, handling variable queues globally without residency constraints.

Denvr

Denvr effective for dense batch processing in private clusters, leveraging cooling for 24/7 runs at lower power costs. Per-hour billing predictable for bulk jobs; suits Canadian data but may overprovision for intermittent batches.

Real-time Inference

AWS recommended

AWS

AWS optimized via Inferentia/Trn1 instances, SageMaker Endpoints with auto-scaling, and global edge locations (CloudFront) for low-latency. Supports g5 instances for GPU accel, with robust monitoring via CloudWatch.

Denvr

Denvr capable in high-density setups for consistent low-latency inference, but private clusters limit edge distribution. Cooling aids thermal stability; best for regional (Canada) low-latency needs, uncertain on global networking.

Fine-tuning & Experimentation

AWS recommended

AWS

AWS ideal for rapid iteration with per-second billing, spots, and Jupyter/SageMaker notebooks. Broad GPU options (A10G to H100) and JumpStart models accelerate prototyping for small teams.

Denvr

Denvr less optimal due to per-hour minimums and private focus excluding quick experiments. High-density efficient for repeated fine-tunes but higher commitment suits larger, steady efforts over ad-hoc testing.

Technical Comparison

Infrastructure

AWS provides virtualized instances (EC2) with elastic networking (up to 400Gbps), EBS/GP3 storage, EKS for Kubernetes, and global AZ redundancy. Supports bare-metal via i3en but emphasizes virtualization. Denvr focuses on bare-metal private clusters with liquid immersion cooling for density, modular DCs likely offering dedicated networking/storage; Kubernetes support unclear but probable for clusters. Canadian focus limits global footprint versus AWS's 30+ regions.

Performance

AWS offers diverse GPUs (A100/H100/V100) with NVLink for multi-GPU, Trainium enabling 4x faster training throughput. Excellent scaling to thousands of GPUs. Denvr's immersion cooling sustains peak performance in dense racks (e.g., 100kW+), potentially better thermals for prolonged runs; GPU types unconfirmed but NVIDIA-focused. AWS edges in interconnect speed/diversity; Denvr in power efficiency (PUE ~1.03), reducing throttling risks.

Frequently Asked Questions

Which provider offers spot instances for cost savings?▾

AWS 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, AWS would be the better choice.

What is the minimum billing increment for each provider?▾

AWS bills per-second, while Denvr bills per-hour. Per-second billing from AWS offers better cost efficiency for short experiments and iterative development, as you only pay for exactly what you use.

Which provider has better compliance certifications for enterprise use?▾

AWS holds SOC 2, HIPAA, GDPR, ISO 27001 certifications. Denvr holds GDPR certification. For organizations with strict compliance requirements, AWS offers more comprehensive coverage.

Which provider offers better development tools like Jupyter notebooks?▾

Both AWS and Denvr 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, AWS offers web-based terminal access for quick debugging.

Which provider has better Kubernetes support for orchestration?▾

Both AWS and Denvr support Kubernetes for container orchestration, enabling you to deploy scalable ML pipelines, manage distributed training jobs, and integrate with MLOps tools like Kubeflow. This is essential for teams running production workloads at scale.

What is each provider best suited for?▾

AWS is best suited for Large-scale enterprises requiring deep integration with other cloud services; Organizations needing globally redundant availability zones. Denvr excels at Enterprises needing sustainable, high-density compute; Canadian data residency requirements. 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?▾

Both AWS and Denvr offer reserved instance pricing for committed usage, typically providing 20-40% discounts compared to on-demand rates. 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?▾

Both AWS and Denvr offer enterprise support tiers with dedicated assistance, faster response times, and potentially custom SLAs. Regarding SLAs: AWS offers SLA guarantees (99.99% uptime); Denvr has no published SLA.

Which provider has better API and automation support?▾

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

Which provider has better container and Docker support?▾

AWS 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?▾

AWS's standout features include: Proprietary silicon like Trainium and Inferentia chips; Fully managed ML development environment with SageMaker. Denvr's standout features include: Modular, liquid-immersion cooled data centers; Industry-leading Power Usage Effectiveness (PUE). 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 AWS, visit their website at https://aws.amazon.com?utm_source=gpuperhour&utm_medium=referral to create an account and explore available GPU options. For Denvr, visit https://www.denvrdata.com?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.