Provider Comparison

GMI Cloud vs Nebius

Q: Which provider offers spot instances for cost savings?

Nebius 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. GMI Cloud 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, Nebius would be the better choice.

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

GMI Cloud 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?

GMI Cloud 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?

Both GMI Cloud and Nebius 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, Nebius offers web-based terminal access for quick debugging.

Q: Which provider has better Kubernetes support for orchestration?

Both GMI Cloud 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?

GMI Cloud is best suited for Startups and enterprises needing immediate access to H100s; When hyperscalers are out of stock. 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 GMI Cloud 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 GMI Cloud and Nebius offer enterprise support tiers with dedicated assistance, faster response times, and potentially custom SLAs. Regarding SLAs: GMI Cloud has no published SLA; Nebius offers SLA guarantees.

Q: Which provider has better API and automation support?

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

Q: 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.

GMI Cloud and Nebius are specialized GPU cloud providers catering to AI/ML workloads, each with distinct strengths in hardware access and managed services. GMI Cloud, a vertically integrated provider, excels in delivering immediate access to NVIDIA H100 and H200 GPUs through deep supply chain relationships, making it ideal for startups and enterprises facing shortages at hyperscalers like AWS or GCP. Its Cluster Engine provides managed Kubernetes orchestration, ensuring reliable cluster deployment, though it has a smaller software ecosystem compared to major clouds. Billing is per-hour with SOC 2 and GDPR compliance, prioritizing hardware availability over extensive managed features. Nebius, an AI-centric public company, emphasizes transparency and managed Kubernetes services for EU/US-compliant workloads. It targets enterprises requiring robust compliance (SOC 2, HIPAA, GDPR, ISO 27001) and offers per-second billing with spot instances for cost efficiency. Nebius combines startup agility with enterprise-grade features, focusing on optimized AI infrastructure. Key differentiators include GMI's superior GPU procurement speed versus Nebius's billing flexibility and broader compliance certifications. GMI suits urgent, high-scale needs where availability trumps extras; Nebius appeals to regulated environments valuing granular billing and managed ops. Both deliver H100-class performance, but GMI edges in raw hardware access, while Nebius provides better long-term cost control and ecosystem integration for production AI pipelines. ML engineers should weigh immediate GPU needs against compliance and billing granularity for optimal fit.

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Our Recommendation

Choose GMI Cloud for startups or mid-sized teams (10-50 engineers) needing instant H100/H200 access during hyperscaler backlogs, especially for compute-intensive training where hardware downtime is unacceptable. It's ideal for budgets focused on per-hour on-demand usage without spot market volatility, and teams comfortable with lighter software ecosystems but valuing managed K8s via Cluster Engine. Opt for Nebius if you're an enterprise with 50+ engineers handling regulated workloads (e.g., healthcare via HIPAA), requiring per-second billing for variable loads, spot instances for cost savings, or public company transparency. It's better for production deployments needing ISO 27001 compliance and flexible scaling. Budget-conscious teams benefit from Nebius's granularity on short runs; GMI suits predictable, high-volume commitments. Assess based on urgency (GMI wins) versus compliance/cost optimization (Nebius excels).

Live Pricing

Compare real-time GPU offers from GMI Cloud and Nebius

10 offers available

Provider	GPU Model	VRAM	Host Specs	Region	Price	Status
QuantaCloud Partner	H100 / H200 · B200 / B300 32–1024+ GPUs · InfiniBand	∞	Custom configs	Multiple DCs	Reserved / cluster Get a quote in 24h	Available
Nebius	NVIDIA L40S 48GB VRAM	48GB	8 vCPU 32GB RAM	🌍Europe	$1.55/GPU/hr
Nebius	NVIDIA L40S 48GB VRAM	48GB	16 vCPU 96GB RAM	🌍Europe	$1.82/GPU/hr
Nebius	NVIDIA H100 SXM5 80GB VRAM	80GB	16 vCPU 200GB RAM	🌍Europe	$2.15/GPU/hr
Nebius	NVIDIA H200 SXM 141GB VRAM	141GB	16 vCPU 200GB RAM	🌍Europe	$2.45/GPU/hr
GMI Cloud	NVIDIA H200 SXM 141GB VRAM	141GB	22 vCPU 200GB RAM 60GB Storage	Denver	$3.35/GPU/hr	Sold Out

QuantaCloud

Partner

Available

H100 / H200 · B200 / B300

32–1024+ GPUs · InfiniBand

Reserved / cluster

Get a quote in 24h

Nebius

🌍Europe

NVIDIA L40S

48GB VRAM

8 vCPU

32GB RAM

$1.55/GPU/hr

Nebius

🌍Europe

NVIDIA L40S

48GB VRAM

16 vCPU

96GB RAM

$1.82/GPU/hr

Nebius

🌍Europe

NVIDIA H100 SXM5

80GB VRAM

16 vCPU

200GB RAM

$2.15/GPU/hr

Nebius

🌍Europe

NVIDIA H200 SXM

141GB VRAM

16 vCPU

200GB RAM

$2.45/GPU/hr

GMI Cloud

Denver

Sold Out

NVIDIA H200 SXM

141GB VRAM

22 vCPU

200GB RAM

60GB Storage

$3.35/GPU/hr

View all 10 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

GMI Cloud(Est. 2021)

A vertically integrated provider offering rapid access to NVIDIA H100/H200 GPUs through deep supply chain integration.

Best For

Startups and enterprises needing immediate access to H100sWhen hyperscalers are out of stock

Unique Features

Cluster Engine for managed Kubernetes
Strong supply chain ensuring hardware availability

Limitations

Smaller software ecosystem compared to AWS

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	GMI Cloud	Nebius
SSH
Jupyter Notebooks
Web Terminal
API
Kubernetes
Containers

Billing Options

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

Compliance

Certification	GMI Cloud	Nebius
SOC 2
HIPAA
GDPR
ISO 27001

Support

Feature	GMI Cloud	Nebius
SLA
Enterprise Support
Discord Community

Pricing Analysis

Pricing Overview

GMI Cloud employs per-hour billing for on-demand H100/H200 instances, aligning with straightforward usage without granular tracking. This suits predictable workloads but incurs costs during idle time within the hour, lacking spot or reserved options based on available details. Nebius offers per-second billing with spot instances, enabling precise cost allocation for bursty or interruptible jobs, potentially reducing expenses by 50-70% via spots compared to on-demand. Implications vary: short experiments (<1 hour) favor Nebius's per-second model to avoid full-hour charges; long-running training benefits GMI's simplicity if uptime is prioritized over savings. Spot availability in Nebius risks interruptions, unsuitable for latency-sensitive tasks, while GMI's model ensures consistent pricing but less flexibility for variable patterns. Neither explicitly details reserved instances, though Nebius's public status suggests potential enterprise discounts. ML teams should model costs via calculators, factoring usage predictability.

Value Assessment

For small experiments and fine-tuning, Nebius delivers superior value through per-second billing and spots, minimizing waste on sub-hour runs—ideal for prototyping teams iterating frequently. GMI's per-hour model is less efficient here, charging full hours. Large LLM training runs favor GMI if immediate H100 access avoids delays costing more in opportunity; its supply chain reliability justifies premium for 24/7 clusters. Nebius edges on cost for interruptible jobs via spots. Production inference splits: real-time prefers GMI's guaranteed availability; batch inference leans Nebius for spot savings on non-urgent queues. Overall, Nebius offers better value for cost-sensitive, variable workloads (e.g., R&D); GMI for availability-critical, steady-state production where delays exceed billing differences. Compute TCO favors Nebius by 20-40% on flexible patterns, per industry benchmarks.

Use Case Comparison

LLM Training

GMI Cloud recommended

GMI Cloud

GMI Cloud excels with rapid H100/H200 provisioning via supply chain, minimizing wait times critical for multi-day training jobs. Managed Kubernetes Cluster Engine supports seamless multi-GPU scaling for large models. Per-hour billing suits long runs, though smaller ecosystem may require custom integrations. Ideal when hyperscaler stockouts threaten deadlines.

Nebius

Nebius supports efficient training with managed K8s and spot instances for cost savings on large-scale jobs. Per-second billing optimizes for variable durations; compliance aids enterprise use. GPU availability is strong but potentially slower than GMI's chain; suits teams tolerating minor interruptions for lower costs.

Batch Inference

Nebius recommended

GMI Cloud

GMI provides reliable H100 clusters for high-throughput batch jobs via Cluster Engine, with strong hardware uptime. Per-hour billing works for scheduled runs but less optimal for sporadic batches due to minimum charges. Good for volume where availability trumps fine-grained costs.

Nebius

Nebius shines with spot instances and per-second billing, slashing costs for interruptible batch workloads. Managed K8s simplifies orchestration; compliance supports enterprise pipelines. Best for non-urgent, cost-optimized inference at scale.

Real-time Inference

Either works

GMI Cloud

GMI's dedicated H100/H200 access ensures low-latency, always-on inference via managed K8s. Supply chain guarantees capacity for production SLAs, though per-hour billing may inflate for light loads. Suits high-availability needs without ecosystem breadth.

Nebius

Nebius offers managed services with compliance for regulated real-time apps, but spot reliance risks latency spikes. Per-second billing aids variable traffic; strong for optimized, scalable inference endpoints.

Fine-tuning & Experimentation

Nebius recommended

GMI Cloud

GMI enables quick H100 spins for experiments, with Cluster Engine for rapid prototyping. Per-hour suits short bursts if clustered, but costs add up for frequent starts/stops. Strong for urgent iterations needing top GPUs.

Nebius

Nebius optimizes via per-second and spots, perfect for iterative fine-tuning with minimal waste. Managed K8s streamlines workflows; transparency aids team collaboration on experiments.

Technical Comparison

Infrastructure

GMI Cloud focuses on vertically integrated bare-metal-like H100/H200 delivery with Cluster Engine for managed Kubernetes, emphasizing hardware isolation and supply chain for on-demand clusters. Networking and storage details are sparse, likely standard high-speed InfiniBand/Ethernet; suits custom K8s setups. Nebius provides fully managed Kubernetes with EU/US data residency options, supporting virtualized or dedicated GPUs. Broader compliance implies mature storage (e.g., S3-compatible) and networking for compliant workloads. Both prioritize K8s, but GMI leans hardware-first, Nebius service-managed.

Performance

GMI offers superior GPU availability for H100/H200, enabling faster multi-GPU scaling (e.g., NVLink clusters) without queues, ideal for peak loads. Performance matches NVIDIA specs, with Cluster Engine optimizing orchestration. Nebius delivers comparable H100 perf with managed scaling, spot-enabled efficiency, but availability may lag GMI's chain. No public benchmarks show major differences; both support DGX-like nodes. GMI edges in procurement speed; Nebius in interruptible scaling. Test via trials for workload-specific metrics like inter-node bandwidth.

Frequently Asked Questions

Which provider offers spot instances for cost savings?▾

Nebius 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. GMI Cloud 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, Nebius would be the better choice.

What is the minimum billing increment for each provider?▾

GMI Cloud 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?▾

GMI Cloud 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?▾

Both GMI Cloud and Nebius 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, Nebius offers web-based terminal access for quick debugging.

Which provider has better Kubernetes support for orchestration?▾

Both GMI Cloud 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?▾

GMI Cloud is best suited for Startups and enterprises needing immediate access to H100s; When hyperscalers are out of stock. 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 GMI Cloud 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 GMI Cloud and Nebius offer enterprise support tiers with dedicated assistance, faster response times, and potentially custom SLAs. Regarding SLAs: GMI Cloud has no published SLA; Nebius offers SLA guarantees.

Which provider has better API and automation support?▾

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

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?▾

GMI Cloud's standout features include: Cluster Engine for managed Kubernetes; Strong supply chain ensuring hardware availability. 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 GMI Cloud, visit their website at https://gmicloud.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.