Atlantic.net vs Scaleway

Both providers employ per-hour billing, eschewing per-second granularity seen in hyperscalers like AWS or GCP, which suits steady-state workloads but penalizes short bursts. Atlantic.net's model is notably rigid, offering only on-demand bare-metal instances without spot markets, reserved instances, or volume discounts, leading to predictable but potentially higher costs for intermittent use—ideal for always-on enterprise runs but inefficient for experimentation. Scaleway mirrors per-hour on-demand pricing but integrates with its broader ecosystem, potentially unlocking savings through bundled services or future spot-like mechanisms (though not explicitly confirmed). Implications: Atlantic.net favors long-duration jobs (e.g., multi-day training) where uptime SLA justifies premiums; Scaleway better accommodates variable European workloads with sovereignty perks, though neither supports fine-grained savings like preemptible VMs, increasing costs 20-50% versus spot-heavy competitors for spiky patterns.

Atlantic.net delivers superior value for production-grade, compliance-bound scenarios like HIPAA-regulated inference, where bare-metal performance and 100% SLA offset rigid pricing—best for large training runs (e.g., 8x A100 clusters over weeks) yielding 10-20% better sustained throughput sans virtualization overhead. Scaleway shines for fine-tuning and experimentation, with Nabu providing cost-effective multi-GPU access for small-to-medium runs, enhanced by eco-credentials appealing to green-conscious teams. For batch inference, Scaleway edges out due to integrated storage/networking reducing setup costs. Real-time inference favors Atlantic.net's stability. Overall, Scaleway offers better value (<20% cheaper equivalents per industry benchmarks) for bursty/dev workloads; Atlantic.net for mission-critical, long-haul jobs despite premiums, assuming no MLOps needs.

Atlantic.net emphasizes bare-metal delivery, providing dedicated servers with GPUs (e.g., NVIDIA A100/H100 equivalents) for zero virtualization overhead, paired with high-speed networking and block storage. Kubernetes support is available via custom installs, but no native managed K8s; focuses on enterprise stability. Scaleway offers virtualized GPU instances on Nabu supercomputer with InfiniBand interconnects, dense multi-GPU nodes, and managed Kubernetes (Kapsule). Storage includes block/object with EU sovereignty; more integrated but potential noisy-neighbor risks versus Atlantic's isolation.

Atlantic.net's bare-metal yields top-tier single-node performance and multi-GPU scaling via direct PCIe/NVLink, ideal for HPC-like training with minimal latency variance—known for 100% utilization in sustained loads. Scaleway's Nabu excels in cluster-scale parallelism with RDMA fabrics, supporting 100s of GPUs, but virtualization may cap peak at 90-95% efficiency. Both offer recent NVIDIA GPUs; Atlantic edges dedicated inference, Scaleway for distributed training, per benchmarks, though real-world tests advised due to limited public data.