Verda
Verda offers self-service GPU instances, multi-node clusters with InfiniBand, auto-scaling serverless GPU containers, and managed storage with pay-as-you-go, spot and reserved options. The site documents per-hour GPU prices, per-GiB-month storage rates, and reserved-commitment discounts plus compliance claims and an in-house AI Lab for model engineering.
The pricing pages list per-hour on-demand and spot GPU prices, per-GiB-month storage rates, and explicit reserved-commitment discounts (1 month to 2 years). Pricing is shown with $ and hourly or monthly units and labeled pay-as-you-go, spot, or reserved.Is Verda right for you?
Good for
- Engineering teams that need on-demand access to modern NVIDIA GPUs and multi-node clusters with InfiniBand for training or large-scale inference.
- Self-service access to instant GPU instances and multi-node clusters with InfiniBand.
- Serverless GPU containers support auto-scaling and scale-to-zero for pay-per-use batch and inference workloads.
Keep in mind
- No permanent free tier or free trial is documented on the linked pages.
- Some larger reserved‑capacity offerings require a custom quote rather than fixed public pricing.
- Founders expecting a permanent free tier; the linked pages document pay-as-you-go, spot, and reserved pricing but do not show a free permanent tier.
Pricing and plan limits
The site lists explicit hourly prices for GPU and CPU instances, spot prices, per GiB-month storage rates, and a reserved-commitment discount table; custom quotes are required for some reserved capacity.
More about capabilities and limits
Documented strengths
Self-service access to instant GPU instances and multi-node clusters with InfiniBand.
Serverless GPU containers support auto-scaling and scale-to-zero for pay-per-use batch and inference workloads.
Documented per-hour on-demand and spot prices for many GPU models and per-GiB-month storage rates.
Limitations to consider
No permanent free tier or free trial is documented on the linked pages.
Some larger reserved‑capacity offerings require a custom quote rather than fixed public pricing.
Choosing a plan
Compare Verda’s published per-hour on-demand and spot GPU rates against your projected GPU-hours, and confirm reserved-commitment quoting and SLA wording with sales before allocating production workloads.
Based on the linked product documentation.
Available on
Web.
Official sources
Alternatives to Verda
Choose around the work you need to do.
Runpod
Use Runpod for on-demand GPU Pods, serverless autoscaling inference endpoints, multi-node clusters, and persistent storage to run training, inference, and batch AI workloads.
