GPU Droplets · $2511.2/mo (240 GB RAM, 24 vCPU, 720 GB NVMe, 15000 GB transfer)
Vultr's L40S GPU offers a 51% cost saving at $1219.83/mo, though with fewer vCPUs and less RAM; it's the strongest value play for cost-conscious buyers. OVHcloud's options are price-competitive with the H200 but trade GPU memory or add hidden costs like per-vCore Windows licensing that can erode savings.
Cuts the DigitalOcean bill nearly in half with a modern L40S GPU, 16 vCPU, and 180GB RAM suitable for many ML workloads.
Caveat: Significantly fewer vCPUs (16 vs 24) and less GPU RAM (48GB vs 141GB); bandwidth overage rates vary by region and may surprise you.
Nearly matches DigitalOcean's price at $2445.50/mo with an A100 80GB GPU and 160GB RAM, offering a familiar tier for AI training.
Caveat: Fewer vCPUs (13 vs 24), smaller disk (80GB vs 720GB), and Windows licensing adds $0.039/vCore/hour; APAC egress loses free tier after mid-2026.
Offers 4x Tesla V100S GPUs and 60 vCPUs for $2576.90/mo, providing more compute parallelism than the single H200.
Caveat: Older V100S architecture (vs newer H200), Windows licensing surcharge of $0.039/vCore/hour adds ~$28/mo, and IPv4 billed separately.
Before you switch