AceCloud vs Modal

On-demand NVIDIA GPUs including A2, A30, L4, L40S, A100, H100, H200, RTX A6000, RTX 6000 Ada, and RTX PRO 6000 for AI training, inference, GenAI, rendering, VFX, HPC, and data analytics

Published GPU instance pricing with monthly plans, longer-term commitment savings, and pay-as-you-go options with no hidden charges

Managed Kubernetes with GPU node groups, autoscaling clusters, NVIDIA GPU Operator support, managed control plane, custom node pools, observability, and built-in security

Cloud compute on AMD EPYC and Intel Xeon processors with NVMe storage, one-click deployments, autoscaling, backups, and scalable VM resources

Cloud storage, S3-compatible object storage, block storage, managed databases, VPC networking, load balancers, floating IPs, firewall/security groups, DDoS protection, and private networking

ISO-certified environments, data sovereignty, VPC isolation, multi-zone redundancy, and a 99.99% uptime SLA

Run Python functions on NVIDIA GPUs without provisioning instances; cold starts in seconds

Pay for actual GPU runtime at sub-minute granularity, with scale-to-zero by default

Define environments in code, with automatic image building and caching

From T4 and L4 through A100, L40S, H100, H200 and B200