Provider Comparison

Nebius vs Vast.ai

Q: Which provider offers better spot instance pricing?

Both Nebius and Vast.ai 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?

Nebius bills per-second, while Vast.ai bills per-hour. 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?

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

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

Both Nebius 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, both providers offer web-based terminal access for quick debugging.

Q: Which provider has better Kubernetes support for orchestration?

Nebius 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, Nebius will integrate more seamlessly with your workflow.

Q: What is each provider best suited for?

Nebius is best suited for Enterprises needing EU/US compliance and managed K8s. 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?

Nebius 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?

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

Q: Which provider has better API and automation support?

Vast.ai provides a comprehensive API for programmatic control, while Nebius 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 Nebius may require additional configuration. Container support is valuable for reproducible ML pipelines and easy deployment of pre-built environments.

Nebius and Vast.ai represent contrasting approaches in the GPU cloud market for AI/ML workloads. Nebius positions itself as an AI-centric infrastructure provider, emphasizing managed services with strong EU/US compliance (SOC 2, HIPAA, GDPR, ISO 27001), making it ideal for enterprises handling regulated data. As a public company with a startup-like AI focus, it offers per-second billing, spot instances, and managed Kubernetes for scalable, reliable deployments. Its value proposition centers on transparency, compliance, and operational simplicity for production-grade workloads. In contrast, Vast.ai operates as a decentralized marketplace aggregating peer-hosted GPUs worldwide, prioritizing absolute lowest costs and flexibility for distributed experiments. Best suited for cost-sensitive users, it features granular search filters like DLPerf/$ (deep learning performance per dollar) and per-hour billing with spot instances. Compliance is limited to GDPR, appealing to hobbyists, researchers, and small teams experimenting without stringent regulatory needs. Key differentiators include Nebius's enterprise-grade management and reliability versus Vast.ai's marketplace-driven price competition and variability. Nebius suits teams needing predictable scaling and compliance, while Vast.ai excels for budget-constrained prototyping. Overall, Nebius offers higher assurance at a premium, while Vast.ai delivers unmatched cost savings with potential trade-offs in consistency and support.

Visit Nebius Visit Vast.ai

Our Recommendation

Choose Nebius for enterprise environments requiring compliance (e.g., healthcare, finance), managed Kubernetes, and reliable multi-GPU scaling for teams of 10+ engineers deploying production workloads. It's ideal when budgets allow 20-50% higher costs for SOC 2/HIPAA assurance, per-second billing for variable usage, and transparent public reporting. Opt for Vast.ai if prioritizing lowest costs (often 2-5x cheaper), suitable for solo ML engineers, research labs, or startups with <10 members running experiments or short bursts. It's best for non-regulated data, tolerating host variability, and leveraging DLPerf/$ filters for optimal hardware selection. Avoid Vast.ai for latency-sensitive production or strict SLAs; favor Nebius when uptime >99.9% and managed ops outweigh cost savings.

Live Pricing

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

55 offers available

Provider	GPU Model	VRAM	Host Specs	Region	Price	Status
Q QuantaCloud Partner	H100 / H200 · B200 / B300 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 1527GB 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 1660GB 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

H100 / H200 · B200 / B300

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

1527GB Storage

$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

1660GB Storage

394 Mbps ↑

689 Mbps ↓

$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 55 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

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

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	Nebius	Vast.ai
SSH
Jupyter Notebooks
Web Terminal
API
Kubernetes
Containers

Billing Options

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

Compliance

Certification	Nebius	Vast.ai
SOC 2
HIPAA
GDPR
ISO 27001

Support

Feature	Nebius	Vast.ai
SLA
Enterprise Support
Discord Community

Pricing Analysis

Pricing Overview

Nebius employs per-second billing for on-demand and spot instances, enabling precise cost control for intermittent or short-lived workloads like fine-tuning bursts, minimizing waste compared to hourly minimums. Vast.ai uses per-hour billing (often with 1-hour minimums) for its marketplace model, where spot instances dominate for deepest discounts but can incur idle time charges. Neither prominently offers reserved instances, though Nebius hints at enterprise commitments. Implications: Nebius favors variable, sub-hour usage (e.g., 10-30 min jobs save 80%+ vs hourly); Vast.ai suits steady, long runs where base rates undercut Nebius by 50-70%, but short jobs amplify effective costs due to rounding. Spot availability fluctuates more on Vast.ai due to peer supply.

Value Assessment

Vast.ai provides superior value for small experiments and fine-tuning, where DLPerf/$ filtering yields GPUs at $0.10-0.30/hr for A100s versus Nebius's $1-2/hr, ideal for budget < $1K/month. For large LLM training runs (100+ GPU-hours), Nebius edges out with per-second spot pricing and reliable scaling, reducing overruns from host preemptions common on Vast.ai. Production inference favors Nebius for managed persistence and compliance, justifying premiums for 24/7 uptime. Batch inference leans Vast.ai for cost if tolerance for interruptions exists; overall, Vast.ai wins on raw $/FLOP for non-critical tasks, Nebius for total cost of ownership in compliant, scaled deployments.

Use Case Comparison

LLM Training

Nebius recommended

Nebius

Nebius excels with managed Kubernetes for reliable multi-GPU clusters, per-second spot billing for cost efficiency on long runs, and compliance for enterprise data. Transparent public status ensures GPU availability scaling to thousands, minimizing downtime risks in distributed training frameworks like DeepSpeed.

Vast.ai

Vast.ai offers lowest-cost GPUs via marketplace spots, with DLPerf/$ filters optimizing for training throughput. Suitable for cost-sensitive large-scale jobs, but host variability and preemptions can disrupt weeks-long trainings, requiring robust checkpointing.

Batch Inference

Either works

Nebius

Nebius supports scalable batch jobs via managed K8s, persistent storage, and compliance for regulated datasets. Per-second billing optimizes sporadic high-volume inference, with EU/US regions ensuring low-latency data sovereignty.

Vast.ai

Vast.ai delivers cheapest per-FLOP inference through granular filtering, ideal for massive offline batches. Decentralized hosts provide diverse GPU options, though networking variability may slow distributed batches without custom orchestration.

Real-time Inference

Nebius recommended

Nebius

Nebius is optimal with managed services for low-latency, always-on deployments, HIPAA/GDPR compliance for user data, and reliable networking. Kubernetes autoscaling handles traffic spikes seamlessly for production APIs.

Vast.ai

Vast.ai suits prototyping with cheap GPUs, but lacks managed SLAs, facing host downtime and inconsistent latencies unsuitable for real-time serving. Marketplace search helps find performant hosts, yet integration requires more DevOps effort.

Fine-tuning & Experimentation

Vast.ai recommended

Nebius

Nebius handles experiments with spot per-second billing and managed envs, but higher base rates limit rapid iteration for small teams. Compliance aids secure prototyping with proprietary data.

Vast.ai

Vast.ai dominates for cheap, flexible experimentation via instant spot access and DLPerf/$ metrics, enabling 10x more trials on tight budgets. Decentralized variety supports diverse hyperparameter sweeps without commitments.

Technical Comparison

Infrastructure

Nebius provides managed Kubernetes on bare-metal-like GPU clusters with high-speed NVLink/InfiniBand networking, persistent block storage, and EU/US data centers for compliance. Vast.ai is a decentralized marketplace of virtualized/peer-hosted GPUs, offering flexible search by DLPerf, VRAM, and interconnects but variable storage/networking (often consumer-grade Ethernet). Nebius emphasizes turnkey K8s; Vast.ai requires user-managed orchestration like Docker/Slurm.

Performance

Nebius delivers consistent enterprise performance with guaranteed multi-GPU scaling (e.g., 8x H100s) and low preemptions, suited for bandwidth-heavy workloads. Vast.ai users report strong single-GPU DLPerf/$ value (e.g., A100 at 2-3x Nebius FLOP/$), but multi-node scaling varies by host peering; preemptions (10-20%) and heterogeneous fleets demand fault-tolerant code. GPU availability is more predictable on Nebius for popular models.

Frequently Asked Questions

Which provider offers better spot instance pricing?▾

Both Nebius and Vast.ai 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?▾

Nebius bills per-second, while Vast.ai bills per-hour. 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?▾

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

Which provider offers better development tools like Jupyter notebooks?▾

Both Nebius 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, both providers offer web-based terminal access for quick debugging.

Which provider has better Kubernetes support for orchestration?▾

Nebius 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, Nebius will integrate more seamlessly with your workflow.

What is each provider best suited for?▾

Nebius is best suited for Enterprises needing EU/US compliance and managed K8s. 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?▾

Nebius 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?▾

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

Which provider has better API and automation support?▾

Vast.ai provides a comprehensive API for programmatic control, while Nebius 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 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?▾

Nebius's standout features include: Public company with transparency; Startup-like focus on AI. 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 Nebius, visit their website at https://nebius.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.