CoreWeave vs Paperspace

Purpose-built AI-native platform with Kubernetes-native developer experience

First-to-market access to the latest NVIDIA GPUs including Hopper (H100, H200, GH200) and Blackwell/Blackwell Ultra (GB200 NVL72, GB300 NVL72, HGX B200, HGX B300)

Unified security, talent services, and observability platform for large-scale AI operations, including fleet and node lifecycle controllers

HPC Interconnect with GPUDirect RDMA over InfiniBand for GPU-to-GPU communication, plus VPCs and Direct Connect private links via Equinix and Megaport

Managed Slurm running on Kubernetes for batch and burst training workloads

S3-compatible AI Object Storage, POSIX distributed file storage, single-tenant VAST clusters, and local ephemeral storage on GPU nodes

Interactive Jupyter notebooks with a free tier, pre-configured templates, and access to powerful GPUs.

Serve machine learning models as scalable API endpoints.

High-performance virtual machines with a wide variety of NVIDIA GPUs for demanding workloads.

Features for teams to collaborate on projects, including shared drives and SSO.

Offers persistent storage that can be shared across different machines and notebooks.

Programmatic access to the Paperspace platform to automate workflows.