Deep Infra vs Paperspace

OpenAI-compatible API for 100+ models including DeepSeek, Qwen, Llama 4, Claude, and Gemini families with autoscaling

B200 instances with SSH access spin up in about 10 seconds and bill hourly

Deploy your own Hugging Face models onto dedicated A100, H100, H200, B200, or B300 GPUs

Published per-GPU hourly rates for A100, H100, H200, B200, and B300 with competitive pricing

Runs on its own inference-optimized hardware in US-based data centers rather than rented capacity

Support for text generation, vision and OCR, embeddings and reranking, image, video and music generation, and speech recognition and synthesis

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.