Provider Comparison

Latitude.sh vs Scaleway

Latitude.sh and Scaleway are both compelling GPU cloud providers for ML/AI workloads, but they cater to distinct needs. Latitude.sh positions itself as a global bare-metal specialist, excelling in latency-sensitive edge applications and offering strong coverage in Latin America. Its Metal-as-Code platform enables seamless Terraform integration for infrastructure provisioning, making it ideal for teams seeking raw performance without virtualization overhead. Spot instances add cost flexibility, and SOC 2/GDPR compliance supports enterprise adoption. However, its focus on bare-metal may require more DevOps expertise for orchestration. Scaleway, a leading European provider, emphasizes data sovereignty and integrated services, with its Nabu AI Supercomputer providing cutting-edge GPU clusters for large-scale AI. Strong environmental credentials appeal to sustainability-focused teams, and broader compliance (SOC 2, GDPR, ISO 27001) suits regulated industries. Hourly billing is straightforward, but lacks spot options, potentially increasing costs for intermittent workloads. Key differentiators include Latitude.sh's global edge footprint and bare-metal purity versus Scaleway's Europe-centric sovereignty and AI-optimized supercomputing. Latitude.sh offers superior value for low-latency, geographically distributed inference, while Scaleway shines in compliant, high-scale training within Europe. Both deliver reliable GPU access, but choice hinges on regional needs, latency tolerance, and integration preferences. ML engineers should evaluate based on workload geography and sovereignty requirements for optimal fit.

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Our Recommendation

Choose Latitude.sh for latency-critical applications, edge deployments, or Latin American workloads, especially with smaller teams (1-10 engineers) comfortable with Terraform and bare-metal management. It's ideal for budgets leveraging spot instances on variable loads, or when raw GPU performance without hypervisor overhead is paramount. Opt for Scaleway if European data residency is mandatory, for large-scale teams (10+ engineers) needing integrated services like managed Kubernetes, or sustainability reporting. Scaleway suits production environments with steady demand due to its Nabu supercomputer for massive training runs and superior compliance. Budget-conscious users with bursty experimentation favor Latitude.sh's spots; consistent high-volume users may find Scaleway's per-hour pricing competitive despite no reservations.

Live Pricing

Compare real-time GPU offers from Latitude.sh and Scaleway

47 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
Latitude.sh	NVIDIA L40S 48GB VRAM	48GB	16 vCPU 128GB RAM 500GB Storage	United States	$0.74/GPU/hr	Sold Out
Latitude.sh	NVIDIA L40S 48GB VRAM	48GB	16 vCPU 128GB RAM 500GB Storage	United States	$0.74/GPU/hr	Sold Out
Latitude.sh	NVIDIA L40S 48GB VRAM	48GB	16 vCPU 128GB RAM 500GB Storage	Germany	$0.87/GPU/hr	Sold Out
Latitude.sh	NVIDIA L40S 48GB VRAM	48GB	16 vCPU 128GB RAM 500GB Storage	Germany	$0.87/GPU/hr	Sold Out
Scaleway	8×NVIDIA L4 24GB VRAM	24GB	64 vCPU 384GB RAM	Paris	$0.90/GPU/hr $7.20/hr total (8×)	Sold Out

QuantaCloud

Partner

Available

H100 / H200 · B200 / B300

32–1024+ GPUs · InfiniBand

Reserved / cluster

Get a quote in 24h

Latitude.sh

United States

Sold Out

NVIDIA L40S

48GB VRAM

16 vCPU

128GB RAM

500GB Storage

$0.74/GPU/hr

Latitude.sh

United States

Sold Out

NVIDIA L40S

48GB VRAM

16 vCPU

128GB RAM

500GB Storage

$0.74/GPU/hr

Latitude.sh

Germany

Sold Out

NVIDIA L40S

48GB VRAM

16 vCPU

128GB RAM

500GB Storage

$0.87/GPU/hr

Latitude.sh

Germany

Sold Out

NVIDIA L40S

48GB VRAM

16 vCPU

128GB RAM

500GB Storage

$0.87/GPU/hr

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×)

View all 47 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

Latitude.sh(Est. 2001)

A global bare-metal cloud infrastructure provider offering latency-sensitive edge applications.

Best For

Latency-sensitive edge applicationsLatin American market

Unique Features

Metal-as-Code platform integrating with Terraform
Global bare-metal infrastructure

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

Feature Comparison

Access Methods

Feature	Latitude.sh	Scaleway
SSH
Jupyter Notebooks
Web Terminal
API
Kubernetes
Containers

Billing Options

Feature	Latitude.sh	Scaleway
Billing Increment	per-hour	per-hour
Spot Instances
Reserved Instances
Prepaid Credits

Compliance

Certification	Latitude.sh	Scaleway
SOC 2
HIPAA
GDPR
ISO 27001

Support

Feature	Latitude.sh	Scaleway
SLA
Enterprise Support
Discord Community

Pricing Analysis

Pricing Overview

Both providers use per-hour billing, minimizing commitment risks compared to per-second models like AWS. Latitude.sh differentiates with spot instances, allowing up to 90% discounts for interruptible workloads, ideal for non-critical experiments or fault-tolerant training. On-demand rates are competitive for bare-metal GPUs (e.g., A100/H100 equivalents), but no reserved instances limit long-term savings. Scaleway offers straightforward per-hour on-demand without spots or reservations, with pricing tied to its Nabu clusters for premium GPUs. This suits predictable usage but exposes users to full rates during spikes. Implications: Latitude.sh favors variable patterns like prototyping (cost savings via spots), while Scaleway benefits steady production inference, though spot absence inflates costs for idle time. Egress fees are low on both, but Scaleway's integrated storage may reduce ancillary charges.

Value Assessment

Latitude.sh delivers superior value for small experiments and fine-tuning, where spot instances slash costs for short bursts (e.g., 1-10 hour jobs). It's less optimal for prolonged large training runs without spots covering full duration. Scaleway excels in production inference and massive LLM training via Nabu, offering predictable pricing for 24/7 loads without interruption risks. For batch inference, Latitude.sh edges out with bare-metal efficiency and spots; Scaleway provides better value for sovereignty-bound teams despite higher effective costs. Overall, Latitude.sh wins on intermittent/budget-sensitive scenarios (20-50% savings potential), Scaleway for reliable, compliant scale-ups where integration offsets pricing rigidity.

Use Case Comparison

LLM Training

Scaleway recommended

Latitude.sh

Latitude.sh's bare-metal GPUs enable high-throughput multi-node training with minimal virtualization overhead, supported by Terraform for rapid scaling. Global footprint aids distributed setups, and spot instances reduce costs for iterative experiments. However, lacks dedicated AI superclusters, requiring custom orchestration for massive jobs.

Scaleway

Scaleway's Nabu AI Supercomputer is purpose-built for large-scale LLM training, offering interconnected H100 clusters with InfiniBand for efficient scaling. Integrated services simplify management, ideal for sustained runs, though spot absence raises costs for failures/retries.

Batch Inference

Either works

Latitude.sh

Bare-metal delivers consistent low-latency batch processing on dedicated GPUs, with spots optimizing costs for periodic jobs. Terraform integration streamlines fleet provisioning, but users handle queuing/scheduling manually.

Scaleway

Scaleway supports efficient batch workloads via integrated object storage and Kubernetes, with Nabu providing scalable GPU resources. Predictable pricing suits scheduled runs, enhanced by European low-latency data access.

Real-time Inference

Latitude.sh recommended

Latitude.sh

Excels with global edge bare-metal for ultra-low latency inference, minimizing network hops in Latin America or distributed setups. Metal-as-Code enables quick deployments, though lacks managed serving frameworks.

Scaleway

Strong for Europe-centric real-time needs with sovereign data paths, but virtualization may add minor latency vs bare-metal. Nabu suits high-QPS, integrated with serverless options for scaling.

Fine-tuning & Experimentation

Latitude.sh recommended

Latitude.sh

Spot instances make it cost-effective for short, iterative fine-tuning on single/multi-GPU nodes. Bare-metal ensures reproducible performance, Terraform accelerates setup for rapid prototyping.

Scaleway

Flexible per-hour access to GPUs via Nabu for experiments, with managed environments easing iteration. Higher base costs without spots limit appeal for high-volume trials.

Technical Comparison

Infrastructure

Latitude.sh focuses on global bare-metal servers with NVIDIA GPUs (A100/H100), bypassing hypervisors for direct access. Networking leverages high-bandwidth low-latency fabrics; storage via NVMe SSDs/block options; full Terraform/Kubernetes compatibility but self-managed. Scaleway blends dedicated bare-metal with virtualized instances, featuring Nabu supercomputer clusters with NVLink/InfiniBand. Offers managed Kubernetes (Kapsule), integrated RANCHER storage, and Europe-focused POPs emphasizing sovereignty. Latitude.sh prioritizes raw metal globally; Scaleway adds service layers.

Performance

Latitude.sh provides superior single-node GPU performance due to bare-metal (no noisy neighbors), with strong multi-GPU NVLink scaling for 2-8 GPUs/node. Global distribution aids low-latency access. Scaleway's Nabu excels in large-scale multi-node training (100s GPUs) via high-speed interconnects, matching or exceeding in cluster throughput. Both offer H100/A100; Latitude.sh may edge real-time inference latency, Scaleway for sustained training FLOPS. Limited public benchmarks; test for specific workloads.

Frequently Asked Questions

Which provider offers spot instances for cost savings?▾

Latitude.sh 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. Scaleway 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, Latitude.sh would be the better choice.

What is the minimum billing increment for each provider?▾

Latitude.sh bills per-hour, while Scaleway 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?▾

Latitude.sh holds SOC 2, GDPR certifications. Scaleway holds SOC 2, GDPR, ISO 27001 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 Latitude.sh 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 Latitude.sh and Scaleway 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?▾

Latitude.sh is best suited for Latency-sensitive edge applications; Latin American market. Scaleway excels at European data sovereignty; Integrated cloud services. 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 Latitude.sh and Scaleway 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?▾

Latitude.sh offers dedicated enterprise support options, while Scaleway may have more limited support tiers. Regarding SLAs: Latitude.sh offers SLA guarantees (100% uptime); Scaleway has no published SLA.

Which provider has better API and automation support?▾

Neither provider prominently advertises API access for automation. Check their documentation for programmatic instance management options.

Which provider has better container and Docker support?▾

Latitude.sh offers native container support for running Docker images, while Scaleway 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?▾

Latitude.sh's standout features include: Metal-as-Code platform integrating with Terraform; Global bare-metal infrastructure. Scaleway's standout features include: Nabu AI Supercomputer; Strong environmental credentials. 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 Latitude.sh, visit their website at https://www.latitude.sh/r/C98A392A?utm_source=gpuperhour&utm_medium=referral to create an account and explore available GPU options. For Scaleway, visit https://www.scaleway.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.