GPU Server Hosting: Compare AI Plans

GPU server hosting is rented compute with a real accelerator attached. HostScout compares plans for AI training, inference, ML experiments, rendering, and CUDA workloads by GPU model, VRAM, CPU cores, RAM, NVMe storage, region, bandwidth, backups, DDoS protection, uptime target, and monthly USD price.

Do not buy a GPU plan from the accelerator name alone.

• VRAM sets the ceiling for model size and batch size. A cheap 24 GB card can be useless for a workload that needs 48 GB or 80 GB.
• The CPU, RAM, and disk can throttle the GPU before CUDA becomes the bottleneck.
• Bandwidth and egress rules matter when datasets, checkpoints, and rendered assets leave the provider network.
• Backups are often not included. Snapshots can turn a short experiment into a recurring bill.

The current comparison surface is built around NVIDIA A100 80GB, NVIDIA L40S 48GB, NVIDIA RTX 4090 24GB, and NVIDIA A10 24GB class plans. The A100 carries 80 GB of HBM2e memory and uses an SXM4 interface. The L40S carries 48 GB of GDDR6 ECC memory on PCIe 4.0 x16. The RTX 4090 carries 24 GB of GDDR6X memory and 16,384 CUDA cores. The A10 carries 24 GB of GDDR6 memory and a lower 150 W power envelope.

Price needs the same discipline as performance. Plan data on this page is dated July 4, 2026. A Timeweb RTX 4090 plan is listed at $439 per month with 8 CPU cores, 32 GB RAM, 300 GB NVMe, and 10 TB bandwidth. A Selectel A100 plan is listed at $2,190 per month with 16 CPU cores, 120 GB RAM, 1,024 GB NVMe, and 10 TB bandwidth. An OVHcloud A10 plan is listed at $661 per month with 8 CPU cores, 45 GB RAM, and 300 GB NVMe. A DigitalOcean L40S plan is listed at $1,830 per month with 20 CPU cores, 160 GB RAM, 720 GB NVMe, and 10 TB bandwidth.

Use this page to shortlist plans, not to admire specs. Pick 24 GB VRAM for smaller inference, fine-tuning, image generation, and rendering jobs that fit in memory. Pick 48 GB VRAM when the model or scene fails on 24 GB and you still want current Ada Lovelace hardware. Pick 80 GB HBM2e when memory capacity and bandwidth are more important than the cheapest hourly rate.

Before checkout, verify the plan date, billing minimum, cancellation policy, snapshot price, included bandwidth, region, and whether the GPU is dedicated. A $400 monthly GPU that sits idle for failed provisioning is not cheaper than a $700 plan that starts cleanly in the right region.