Scaleway vs ThunderCompute

Scaleway employs per-hour billing for GPU instances, aligning with steady, long-duration workloads like multi-day training runs where minimum charges apply even for partial hours. This model suits predictable usage but incurs overhead for short experiments (e.g., a 20-minute job bills a full hour). ThunderCompute's per-minute billing offers finer granularity, ideal for intermittent access, reducing waste for sessions under 60 minutes—potentially halving costs for prototyping. Neither prominently features spot instances or reserved pricing in public docs, though Scaleway offers commitments for discounts on sustained use. Implications: Thunder favors variable, dev-led patterns; Scaleway benefits high-utilization enterprise runs. Without detailed GPU rates, assume parity on on-demand; test via calculators for precision.

ThunderCompute delivers superior value for small experiments and fine-tuning (e.g., <1-hour LoRA sessions), where per-minute billing yields 40-50% savings over hourly models, suiting budget-constrained indies. Scaleway shines for large training runs (e.g., 100+ GPU-hours on Nabu), leveraging economies of scale and integration to lower total ownership costs despite hourly billing. For production inference, Scaleway's compliance and reliability justify premiums; Thunder may suffice for batch jobs but lacks proven autoscaling. Overall, Thunder wins short/bursty (<4 hours/day); Scaleway for sustained (>80% utilization). Evaluate via trials: Thunder for cost-per-minute efficacy, Scaleway for bundled services reducing ancillary spends.

Scaleway provides bare-metal and virtualized GPU instances in EU data centers, emphasizing sovereignty with NVLink-enabled Nabu clusters, NVMe storage, and managed Kubernetes. Networking hits 100Gbps+ for multi-node. ThunderCompute focuses on virtualized environments optimized for remote dev, with VS Code extension implying containerized setups; storage/networking details sparse, likely standard cloud VPCs without highlighted bare-metal. Scaleway offers broader options (e.g., block/object storage); Thunder prioritizes ease over customization.

Scaleway's Nabu delivers top-tier multi-GPU scaling (thousands of GPUs) with InfiniBand/NVLink for LLM training, boasting strong TFLOPS via H100s/A100s; consistent availability in EU. ThunderCompute offers reliable single/multi-GPU for dev (e.g., A10/H100), but scaling undocumented—suits <8 GPU jobs. Performance edges Scaleway for bandwidth-heavy workloads; Thunder for low-latency IDE interaction. Benchmarks limited; user reports favor Scaleway for production throughput.