Provider Comparison

Scaleway vs Voltage Park

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

Scaleway bills per-hour, while Voltage Park 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?

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

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

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

Q: Which provider has better Kubernetes support for orchestration?

Both Scaleway and Voltage Park 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?

Scaleway is best suited for European data sovereignty; Integrated cloud services. Voltage Park excels at Massive scale H100 training. 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 Scaleway and Voltage Park 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?

Neither provider prominently advertises enterprise support tiers. Contact each provider directly to discuss custom support arrangements for production deployments.

Q: Which provider has better API and automation support?

Voltage Park provides a comprehensive API for programmatic control, while Scaleway may require more manual management. If automation is a priority, Voltage Park'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.

Q: What unique features differentiate these providers?

Scaleway's standout features include: Nabu AI Supercomputer; Strong environmental credentials. Voltage Park's standout features include: 24k H100 fleet; Non-profit backing. These differentiators may be decisive factors depending on your specific technical requirements and workflow preferences.

Scaleway and Voltage Park represent distinct approaches in the GPU cloud market for AI/ML workloads. Scaleway, a leading European provider, prioritizes data sovereignty, GDPR compliance, and integrated services, making it ideal for organizations needing EU-based infrastructure with strong environmental credentials via its Nabu AI Supercomputer. It offers a balanced ecosystem for various workloads, from experimentation to production, with per-hour billing and certifications like SOC 2, ISO 27001, and GDPR. Voltage Park, backed by a non-profit, specializes in massive-scale H100 deployments with a 24k GPU fleet, targeting large-scale training jobs that demand unparalleled parallelism. Its HIPAA and SOC 2 compliance suits regulated industries, but its focus is narrower, excelling in hyperscale compute rather than broad cloud services. Both use per-hour billing, but Scaleway provides more holistic integration (e.g., Kubernetes, storage), while Voltage emphasizes raw H100 density for cost-efficient training at extreme scales. Key differentiators: Scaleway for sovereignty-sensitive, multi-service European teams; Voltage for budget-conscious, large-model trainers needing rapid access to thousands of H100s. Scaleway's value shines in flexible, compliant setups; Voltage's in sheer training throughput. ML engineers should weigh scale needs against compliance and ecosystem breadth—neither dominates universally, but together they cover diverse AI pipelines effectively. (238 words)

Visit Scaleway Visit Voltage Park

Our Recommendation

Choose Scaleway for EU data residency requirements, smaller-to-medium teams (under 100 GPUs), or workloads needing integrated services like managed Kubernetes, object storage, and green energy. It's optimal for fine-tuning, inference, or hybrid cloud setups where GDPR/ISO compliance is non-negotiable, and budgets favor predictable per-hour costs without massive upfront commitments. Opt for Voltage Park when running large-scale LLM training (1k+ GPUs), where its 24k H100 fleet enables unmatched parallelism and cost savings at volume. Ideal for research labs or enterprises with high-bandwidth, long-running jobs prioritizing HIPAA/SOC 2 over full-stack services. Budgets under $100k/month suit Scaleway's flexibility; over $500k/month favor Voltage's scale efficiencies. Technical teams should assess networking needs—Scaleway for low-latency inference, Voltage for distributed training. (142 words)

Live Pricing

Compare real-time GPU offers from Scaleway and Voltage Park

56 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
Scaleway	8×NVIDIA L4 24GB VRAM	24GB	64 vCPU 384GB RAM	Paris	$0.90/GPU/hr $7.20/hr total (8×)	Sold Out
Scaleway	2×NVIDIA L4 24GB VRAM	24GB	16 vCPU 96GB RAM	Paris	$0.90/GPU/hr $1.80/hr total (2×)	Available
Scaleway	2×NVIDIA L4 24GB VRAM	24GB	16 vCPU 96GB RAM	Paris	$0.90/GPU/hr $1.80/hr total (2×)	Sold Out
Scaleway	2×NVIDIA L4 24GB VRAM	24GB	16 vCPU 96GB RAM	Warsaw	$0.90/GPU/hr $1.80/hr total (2×)	Available
Scaleway	8×NVIDIA L4 24GB VRAM	24GB	64 vCPU 384GB RAM	Warsaw	$0.90/GPU/hr $7.20/hr total (8×)	Available

QuantaCloud

Partner

Available

H100 / H200 · B200 / B300

32–1024+ GPUs · InfiniBand

Reserved / cluster

Get a quote in 24h

Scaleway

Paris

Sold Out

NVIDIA L48x

24GB VRAM

64 vCPU

384GB RAM

20000 Mbps ↑

20000 Mbps ↓

$0.90/GPU/hr

$7.20/hr total (8×)

Scaleway

Paris

Available

NVIDIA L42x

24GB VRAM

16 vCPU

96GB RAM

5000 Mbps ↑

5000 Mbps ↓

$0.90/GPU/hr

$1.80/hr total (2×)

Scaleway

Paris

Sold Out

NVIDIA L42x

24GB VRAM

16 vCPU

96GB RAM

5000 Mbps ↑

5000 Mbps ↓

$0.90/GPU/hr

$1.80/hr total (2×)

Scaleway

Warsaw

Available

NVIDIA L42x

24GB VRAM

16 vCPU

96GB RAM

5000 Mbps ↑

5000 Mbps ↓

$0.90/GPU/hr

$1.80/hr total (2×)

Scaleway

Warsaw

Available

NVIDIA L48x

24GB VRAM

64 vCPU

384GB RAM

20000 Mbps ↑

20000 Mbps ↓

$0.90/GPU/hr

$7.20/hr total (8×)

View all 56 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

Scaleway(Est. 1999)

A major European cloud provider emphasizing data sovereignty and integrated services.

Best For

European data sovereigntyIntegrated cloud services

Unique Features

Nabu AI Supercomputer
Strong environmental credentials

Voltage Park(Est. 2023)

A provider operating a massive fleet of H100s backed by a non-profit for large-scale training.

Best For

Massive scale H100 training

Unique Features

24k H100 fleet
Non-profit backing

Feature Comparison

Access Methods

Feature	Scaleway	Voltage Park
SSH
Jupyter Notebooks
Web Terminal
API
Kubernetes
Containers

Billing Options

Feature	Scaleway	Voltage Park
Billing Increment	per-hour	per-hour
Spot Instances
Reserved Instances
Prepaid Credits

Compliance

Certification	Scaleway	Voltage Park
SOC 2
HIPAA
GDPR
ISO 27001

Support

Feature	Scaleway	Voltage Park
SLA
Enterprise Support
Discord Community

Pricing Analysis

Pricing Overview

Both providers employ per-hour billing, avoiding per-second granularity that favors ultra-short jobs but suiting ML workloads' typical multi-hour durations. Neither prominently advertises spot instances or reserved contracts in available data, implying primarily on-demand models—Scaleway integrates this into its broader cloud pricing, potentially with volume discounts via custom enterprise deals; Voltage focuses on fleet-scale access, likely offering competitive rates for large reservations given its non-profit backing and H100 surplus. Implications: Short experiments (<1 hour) incur full-hour charges on both, less efficient than per-second rivals. Long training runs benefit from per-hour predictability, but Voltage's massive inventory may yield better effective rates for 100+ GPU clusters. Scaleway's integrated billing streamlines multi-service use; Voltage suits pure compute. Without public spot pricing, on-demand dominates—test via trials for real costs. Uncertainty on exact rates requires direct quotes. (152 words)

Value Assessment

Voltage Park delivers superior value for large training runs (e.g., 1k+ H100s), leveraging its 24k fleet for high utilization and likely lower per-GPU-hour rates at scale, ideal for $1M+ monthly spends. Scaleway offers better value for small experiments or fine-tuning (<100 GPUs), with integrated services reducing total ownership costs—no need for separate storage/networking providers. Production inference favors Scaleway's ecosystem for persistent, low-latency setups; batch inference is comparable, but Voltage edges on raw throughput. Budget-conscious teams: Scaleway for < $50k/month (flexible scaling); Voltage for hyperscale (economies of fleet size). Both per-hour models penalize idle time equally—use autoscaling. Overall, Voltage wins volume value; Scaleway holistic efficiency. Direct benchmarking advised due to opaque pricing. (148 words)

Use Case Comparison

LLM Training

Voltage Park recommended

Scaleway

Scaleway's Nabu AI Supercomputer supports multi-GPU training with EU sovereignty, suitable for mid-scale LLMs (up to hundreds of GPUs). Integrated Kubernetes and storage aid workflows, but limited fleet size caps hyperscale jobs. Strong for compliant, environmentally conscious teams needing balanced performance without vendor lock-in. (62 words)

Voltage Park

Voltage excels with its 24k H100 fleet, enabling massive distributed training across thousands of GPUs with high-bandwidth interconnects. Non-profit model likely optimizes costs for long runs; HIPAA/SOC 2 fits regulated AI research. Ideal for frontier models demanding extreme parallelism. (64 words)

Batch Inference

Either works

Scaleway

Scaleway integrates GPUs with object storage and serverless options for efficient batch jobs, leveraging Nabu's scalability for EU-compliant processing. Per-hour billing suits variable loads; Kubernetes eases orchestration. Good for medium-scale inference with data sovereignty. (60 words)

Voltage Park

Voltage's H100 density accelerates large-batch inference via parallelization, but lacks integrated storage/services—users manage data ingress. Best for compute-bound batches at scale; less optimized for frequent small jobs due to fleet focus. (60 words)

Real-time Inference

Scaleway recommended

Scaleway

Scaleway's integrated platform supports low-latency inference with autoscaling, managed services, and EU networking. Nabu GPUs handle production traffic; compliance ensures secure deployments. Strong for always-on APIs with sovereignty needs. (60 words)

Voltage Park

Voltage prioritizes training over inference; H100s capable but fleet geared for bursts, not persistent low-latency. Limited ecosystem may complicate serving infrastructure. Viable for high-throughput real-time at scale, but less seamless. (62 words)

Fine-tuning & Experimentation

Scaleway recommended

Scaleway

Scaleway shines for rapid prototyping with flexible GPU access, integrated tools, and per-hour billing minimizing costs for short runs. EU focus and Kubernetes suit iterative dev by small teams. Nabu enables quick scaling without overcommitment. (62 words)

Voltage Park

Voltage's H100s overkill for small experiments; minimum cluster sizes and training orientation inflate costs for <10 GPU jobs. Better for large fine-tunes, but less agile for frequent trials. Fleet availability strong, ecosystem thinner. (61 words)

Technical Comparison

Infrastructure

Scaleway offers virtualized GPUs via Nabu, with managed Kubernetes, block/object storage, and high-speed EU networking (up to 100Gbps InfiniBand). Emphasizes bare-metal options and integrated cloud stack for sovereignty. Voltage Park deploys bare-metal H100 clusters in a massive, non-virtualized fleet, focusing on RDMA fabrics for training; storage/networking likely customer-managed or basic, with Kubernetes support uncertain. Scaleway broader; Voltage compute-pure. (98 words)

Performance

Voltage's 24k H100s enable superior multi-node scaling for training (e.g., 10k+ GPU jobs), with dense packing minimizing latency. Scaleway's Nabu (H100-based clusters) performs well for <1k GPUs, strong single-node throughput and InfiniBand. Both offer high availability, but Voltage's scale reduces queue times for large requests; Scaleway better GPU diversity/utilization for mixed workloads. No public benchmarks—Voltage leads hyperscale, Scaleway balanced perf. (96 words)

Frequently Asked Questions

What is the minimum billing increment for each provider?▾

Scaleway bills per-hour, while Voltage Park 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?▾

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

Which provider offers better development tools like Jupyter notebooks?▾

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

Which provider has better Kubernetes support for orchestration?▾

Both Scaleway and Voltage Park 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?▾

Scaleway is best suited for European data sovereignty; Integrated cloud services. Voltage Park excels at Massive scale H100 training. 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 Scaleway and Voltage Park 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?▾

Neither provider prominently advertises enterprise support tiers. Contact each provider directly to discuss custom support arrangements for production deployments.

Which provider has better API and automation support?▾

Voltage Park provides a comprehensive API for programmatic control, while Scaleway may require more manual management. If automation is a priority, Voltage Park'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?▾

Scaleway's standout features include: Nabu AI Supercomputer; Strong environmental credentials. Voltage Park's standout features include: 24k H100 fleet; Non-profit backing. 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 Scaleway, visit their website at https://www.scaleway.com?utm_source=gpuperhour&utm_medium=referral to create an account and explore available GPU options. For Voltage Park, visit https://voltagepark.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.