Deep Infra vs Spheron

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

Access GPU capacity from multiple cloud providers and certified data centers from one account, without separate signups per provider

Instances are billed by the minute with no minimum rental period or rounding up to the hour

Instances are typically ready in under two minutes with no approval workflow or provisioning queue

Compute spend across every connected provider is tracked in a single dashboard

Each VM or bare metal instance includes NVMe SSD storage, network bandwidth, a dedicated IP address and full root access

Spheron sources large clusters, specific hardware and InfiniBand configurations from its partner data center network, with a typical quote turnaround of 24-48 hours