Provider Comparison

Crusoe vs Nebius

Q: Which provider offers better spot instance pricing?

Both Crusoe and Nebius offer spot/preemptible instances, which can reduce costs by 50-80% compared to on-demand pricing. Spot instances are ideal for fault-tolerant workloads like batch inference, hyperparameter tuning, and distributed training with checkpointing. The actual savings depend on current demand and GPU availability, so we recommend comparing real-time spot prices for your specific GPU requirements on both platforms.

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

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

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

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

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

Nebius offers built-in Jupyter notebook support for interactive development, while Crusoe requires you to set up your own notebook environment. If quick iteration and experimentation are priorities, Nebius's integrated notebooks provide a smoother experience. Additionally, Nebius offers web-based terminal access for quick debugging.

Q: Which provider has better Kubernetes support for orchestration?

Both Crusoe and Nebius 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.

Q: What is each provider best suited for?

Crusoe is best suited for Organizations with strict ESG mandates; Batch training workloads where carbon footprint is a key metric. Nebius excels at Enterprises needing EU/US compliance and managed K8s. 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?

Both Crusoe and Nebius 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.

Q: Which provider offers better enterprise support?

Both Crusoe and Nebius offer enterprise support tiers with dedicated assistance, faster response times, and potentially custom SLAs. Regarding SLAs: Crusoe has no published SLA; Nebius offers SLA guarantees.

Q: Which provider has better API and automation support?

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

Q: Which provider has better container and Docker support?

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

Crusoe and Nebius are specialized GPU cloud providers catering to AI/ML workloads, but with distinct market positionings. Crusoe emphasizes climate-aligned computing by leveraging stranded energy sources, such as flared natural gas, to power high-performance clusters. This vertically integrated energy-to-cloud model appeals to organizations prioritizing ESG compliance and reduced carbon footprints, particularly for batch training jobs. Its smaller geographic footprint limits global redundancy compared to hyperscalers. Nebius, an AI-centric provider, focuses on managed services with strong EU/US compliance, targeting enterprises requiring Kubernetes orchestration and regulatory adherence like HIPAA. As a public company, it offers transparency and a startup-like agility in AI infrastructure. Key differentiators include Crusoe's eco-optimized power efficiency for sustained workloads versus Nebius's per-second billing and managed K8s for flexible, compliant deployments. Both support spot instances for cost savings, with Crusoe billing per-hour and Nebius per-second. Compliance overlaps on SOC 2 and GDPR, but Nebius adds HIPAA and ISO 27001. For ML engineers, Crusoe suits green batch processing, while Nebius excels in regulated, orchestrated environments. Overall, value hinges on ESG priorities versus compliance and billing granularity, with both delivering reliable NVIDIA GPUs but tailored philosophies.

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Our Recommendation

Choose Crusoe for teams with ESG mandates, focusing on large-scale batch training where carbon metrics matter, such as research labs or enterprises with sustainability goals. Ideal for mid-sized teams (10-50 engineers) running steady, long-duration jobs on spot instances to leverage per-hour billing efficiencies, especially if geographic limitations (primarily US) align with workloads. Opt for Nebius when EU/US compliance (HIPAA, ISO 27001) is critical, or for teams needing managed Kubernetes for orchestration across small-to-large groups (5-100+). Its per-second billing favors bursty experimentation or production inference, suiting startups or enterprises with variable budgets. Budget-wise, Nebius edges for short runs (<1 hour), Crusoe for prolonged training. Technically, select Crusoe for raw HPC power in eco-friendly setups; Nebius for integrated managed services reducing ops overhead.

Live Pricing

Compare real-time GPU offers from Crusoe and Nebius

20 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
Crusoe	NVIDIA A40 48GB VRAM	48GB	0 vCPU 0GB RAM	United States	$0.40/GPU/hr
Crusoe	NVIDIA L40S 48GB VRAM	48GB	0 vCPU 0GB RAM	United States	$0.50/GPU/hr
Crusoe	NVIDIA A40 48GB VRAM	48GB	0 vCPU 0GB RAM	United States	$0.90/GPU/hr
Crusoe	AMD Instinct MI300X 192GB VRAM	192GB	0 vCPU 0GB RAM	United States	$0.95/GPU/hr
Crusoe	NVIDIA A100 PCIe 40GB 40GB VRAM	40GB	0 vCPU 0GB RAM	United States	$1.00/GPU/hr

QuantaCloud

Partner

Available

A100 · H100 / H200 · B200 / B300

32–1024+ GPUs · InfiniBand

Reserved / cluster

Get a quote in 24h

Crusoe

United States

NVIDIA A40

48GB VRAM

0 vCPU

0GB RAM

$0.40/GPU/hr

Crusoe

United States

NVIDIA L40S

48GB VRAM

0 vCPU

0GB RAM

$0.50/GPU/hr

Crusoe

United States

NVIDIA A40

48GB VRAM

0 vCPU

0GB RAM

$0.90/GPU/hr

Crusoe

United States

AMD Instinct MI300X

192GB VRAM

0 vCPU

0GB RAM

$0.95/GPU/hr

Crusoe

United States

NVIDIA A100 PCIe 40GB

40GB VRAM

0 vCPU

0GB RAM

$1.00/GPU/hr

View all 20 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

Crusoe(Est. 2018)

A climate-aligned computing provider powering high-performance computing using stranded energy sources to mitigate environmental impact.

Best For

Organizations with strict ESG mandatesBatch training workloads where carbon footprint is a key metric

Unique Features

Vertically integrated energy-to-cloud model
Use of stranded energy sources

Limitations

Smaller geographic footprint compared to hyperscalers

Nebius(Est. 2023)

An AI-centric infrastructure company providing managed services for EU/US compliant workloads.

Best For

Enterprises needing EU/US compliance and managed K8s

Unique Features

Public company with transparency
Startup-like focus on AI

Feature Comparison

Access Methods

Feature	Crusoe	Nebius
SSH
Jupyter Notebooks
Web Terminal
API
Kubernetes
Containers

Billing Options

Feature	Crusoe	Nebius
Billing Increment	per-hour	per-second
Spot Instances
Reserved Instances
Prepaid Credits

Compliance

Certification	Crusoe	Nebius
SOC 2
HIPAA
GDPR
ISO 27001

Support

Feature	Crusoe	Nebius
SLA
Enterprise Support
Discord Community

Pricing Analysis

Pricing Overview

Crusoe employs per-hour billing with spot instances, optimizing for predictable, long-running workloads like multi-day training runs where full hours are consumed efficiently. On-demand rates apply for reservations, but spot availability ties to energy source fluctuations. Nebius uses per-second billing, also with spot instances, enabling precise cost control for variable-duration jobs, from minutes-long experiments to hours of inference. Neither prominently advertises reserved instances in public docs, though Crusoe hints at commitments for stability. Implications: Per-hour suits steady usage (e.g., 24/7 training) minimizing waste, while per-second benefits intermittent patterns, reducing costs by up to 50% for sub-hour tasks. Spot pricing on both can yield 50-70% discounts versus on-demand, but Crusoe's energy model may introduce variability in spot capacity.

Value Assessment

For small experiments or fine-tuning (<1 hour), Nebius delivers superior value via per-second billing, avoiding partial-hour charges and enabling rapid iteration on spot GPUs. Large training runs (days-long) favor Crusoe's per-hour model, where energy efficiency lowers effective costs for sustained compute. Production inference workloads benefit from Nebius's granularity for scaling traffic spikes, potentially 20-30% cheaper than Crusoe for variable loads. Batch inference leans toward Crusoe if ESG reporting adds value, with spot savings comparable. Overall, Nebius offers better value for dynamic, compliance-driven teams with mixed workloads; Crusoe excels for budget-conscious, eco-focused batch operators committing to longer runs, though limited regions may incur data transfer premiums.

Use Case Comparison

LLM Training

Crusoe recommended

Crusoe

Crusoe excels for large-scale LLM training due to its climate-aligned stranded energy model, enabling cost-effective, high-density GPU clusters for batch workloads. Per-hour spot instances suit multi-day pretraining runs, with vertical integration ensuring power reliability. ESG reporting appeals to sustainability-focused teams, though smaller footprint limits multi-region failover.

Nebius

Nebius supports LLM training via managed K8s and scalable GPU fleets, with per-second billing flexible for checkpointing interruptions. Strong compliance aids enterprise adoption, but lacks Crusoe's eco-optimization for ultra-long batch jobs.

Batch Inference

Either works

Crusoe

Crusoe fits well for batch inference on spot instances, leveraging efficient energy use for high-throughput processing. Per-hour billing aligns with predictable job queues, ideal for offline scoring in ESG-sensitive environments.

Nebius

Nebius handles batch inference effectively with managed orchestration and per-second precision, allowing cost-optimized scaling for variable batch sizes in compliant setups.

Real-time Inference

Nebius recommended

Crusoe

Crusoe supports real-time inference but per-hour billing less ideal for sporadic traffic; better for steady loads. Limited managed services require more DevOps overhead.

Nebius

Nebius shines with managed K8s for auto-scaling inference endpoints, per-second billing matching traffic variability, and robust compliance for production serving.

Fine-tuning & Experimentation

Nebius recommended

Crusoe

Crusoe works for experimentation on spots, but per-hour minimums inflate costs for short trials; suits longer fine-tunes with ESG tracking.

Nebius

Nebius is optimal for rapid fine-tuning cycles via per-second billing and K8s ease, enabling cheap, iterative experiments in regulated contexts.

Technical Comparison

Infrastructure

Crusoe offers bare-metal-like GPU clusters with vertical energy integration, focusing on high-density NVIDIA H100/A100 setups optimized for HPC. Networking emphasizes low-latency InfiniBand for multi-node scaling; storage via high-performance NFS/shared options. Limited Kubernetes support requires custom orchestration. Nebius provides virtualized/managed Kubernetes (K8s) clusters with GPU scheduling, supporting EU/US regions for low-latency access. Storage includes managed object/block with S3 compatibility; networking via VPCs and high-bandwidth interconnects. Nebius edges in managed ops, Crusoe in raw power density.

Performance

Both deliver NVIDIA GPUs (A100/H100) with strong multi-GPU scaling via NVLink/InfiniBand, but specifics are sparse. Crusoe's stranded energy enables consistent availability for large clusters (thousands of GPUs), excelling in batch throughput per carbon unit. Nebius reports reliable scaling in K8s, with per-second flexibility aiding perf tuning. No public benchmarks show major differences; Crusoe may lead in sustained FLOPS/Watt due to cooling efficiency, while Nebius offers faster provisioning via managed layers. Availability risks: Crusoe tied to energy sites, Nebius to public transparency.

Frequently Asked Questions

Which provider offers better spot instance pricing?▾

Both Crusoe and Nebius offer spot/preemptible instances, which can reduce costs by 50-80% compared to on-demand pricing. Spot instances are ideal for fault-tolerant workloads like batch inference, hyperparameter tuning, and distributed training with checkpointing. The actual savings depend on current demand and GPU availability, so we recommend comparing real-time spot prices for your specific GPU requirements on both platforms.

What is the minimum billing increment for each provider?▾

Crusoe bills per-hour, while Nebius bills per-second. Per-second billing from Nebius 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?▾

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

Which provider offers better development tools like Jupyter notebooks?▾

Nebius offers built-in Jupyter notebook support for interactive development, while Crusoe requires you to set up your own notebook environment. If quick iteration and experimentation are priorities, Nebius's integrated notebooks provide a smoother experience. Additionally, Nebius offers web-based terminal access for quick debugging.

Which provider has better Kubernetes support for orchestration?▾

Both Crusoe and Nebius 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?▾

Crusoe is best suited for Organizations with strict ESG mandates; Batch training workloads where carbon footprint is a key metric. Nebius excels at Enterprises needing EU/US compliance and managed K8s. 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 Crusoe and Nebius 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 Crusoe and Nebius offer enterprise support tiers with dedicated assistance, faster response times, and potentially custom SLAs. Regarding SLAs: Crusoe has no published SLA; Nebius offers SLA guarantees.

Which provider has better API and automation support?▾

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

Which provider has better container and Docker support?▾

Crusoe offers native container support for running Docker images, while Nebius 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?▾

Crusoe's standout features include: Vertically integrated energy-to-cloud model; Use of stranded energy sources. Nebius's standout features include: Public company with transparency; Startup-like focus on AI. 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 Crusoe, visit their website at https://crusoe.ai?utm_source=gpuperhour&utm_medium=referral to create an account and explore available GPU options. For Nebius, visit https://nebius.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.