AceCloud vs Gcore

On-demand NVIDIA GPUs including A2, A30, L4, L40S, A100, H100, H200, RTX A6000, RTX 6000 Ada, RTX PRO 6000, and RTX 8000 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

GPU and inference workloads deployable across 50+ cloud locations and 210+ points of presence worldwide

8-GPU B300 SXM servers and 72-GPU GB300 NVL72 racks offered alongside H200, H100, A100 and L40S

Managed inference platform with autoscaling, fast cold starts and protected endpoints, billed on the compute time actually used

Dedicated 8-GPU bare-metal clusters or single-GPU virtual machines, with multi-node clusters provisioned in a single API call and automatic InfiniBand setup

AI Cloud Stack and Everywhere AI for running models on enterprise, third-party cloud or on-premises infrastructure