What is the difference between Deep Infra and Zettabyte?

Deep Infra and Zettabyte are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: Deep Infra or Zettabyte?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between Deep Infra and Zettabyte?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

Deep Infra vs Zettabyte

Compare GPU pricing between Deep Infra and Zettabyte. Find the best rates for AI training, inference, and ML workloads.

Deep Infra

Provider 1

GPUs Available

Visit Website

Zettabyte

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

Deep Infra GPUs

Zettabyte GPUs

Direct Comparisons

GPU Pricing Comparison

Loading comparison data...

Features Comparison

Deep Infra

Drop-in OpenAI Replacement
OpenAI-compatible API for 100+ models including DeepSeek, Qwen, Llama 4, Claude, and Gemini families with autoscaling
Dedicated GPU Rentals
B200 instances with SSH access spin up in about 10 seconds and bill hourly
Custom LLM Deployments
Deploy your own Hugging Face models onto dedicated A100, H100, H200, B200, or B300 GPUs
Transparent GPU Pricing
Published per-GPU hourly rates for A100, H100, H200, B200, and B300 with competitive pricing
Owned Inference Infrastructure
Runs on its own inference-optimized hardware in US-based data centers rather than rented capacity
Comprehensive AI APIs
Support for text generation, vision and OCR, embeddings and reranking, image, video and music generation, and speech recognition and synthesis

Zettabyte

On-Demand Instances
Launch GPU instances quickly and scale to hundreds on-demand.
Reserved Clusters
Designed for large-scale training with predictable capacity.
Private Cloud Solutions
Custom clusters tailored for specific security and procurement needs.
Best-Price Allocation
Utilizes a bid/ask system to ensure optimal pricing on GPU resources.
Reliability Framework
Ensures 99.9% uptime SLA with transparent incident reporting.

Pros & Cons

Deep Infra

Advantages

Simple OpenAI-compatible API alongside controllable GPU rentals
Competitive hourly rates for flagship NVIDIA GPUs including latest B200 and B300
Fast provisioning with SSH access for dedicated instances (ready in ~10 seconds)
Supports custom deployments in addition to hosted public models

Considerations

Infrastructure is US-based only, with no published international regions
Primarily focused on inference and GPU rentals rather than broader cloud services
Newer player compared to established cloud providers

Zettabyte

Advantages

Flexible scaling options for various workloads
Diverse service offerings to match different needs
Built-in security protocols for data protection

Considerations

Limited information on specific geographic availability
No explicit details on customer support options
Dependency on third-party hardware providers

Compute Services

Deep Infra

Serverless Inference

Hosted model APIs with autoscaling on Deep Infra's own inference infrastructure.

Drop-in OpenAI replacement - swap base URL, keep existing code
100+ models including the DeepSeek V4, Qwen 3.7, Llama 4, Claude 5, Gemini 3.5, Gemma 4, GLM-5, Kimi K2.7, and Nemotron 3 families

Dedicated GPU Instances

On-demand GPU nodes with SSH access for custom workloads.

GPU Clusters

Multi-node B200 and B300 clusters with SSH access for training and full-control workloads.

Rent a B200 or B300 cluster and run arbitrary workloads
On-demand DGX B300 configurations billed per instance-hour

Zettabyte

Pricing Options

Deep Infra

Serverless pay-per-token

OpenAI-compatible inference APIs billed per input and output token, with no idle GPU time or minimums

Dedicated GPU hourly rates

Published transparent hourly pricing for A100, H100, H200, B200, and B300 GPUs with pay-as-you-go billing

Per-execution-time billing

Non-LLM models are billed for inference execution time rather than per token

Cached input pricing

Prompt-cached input tokens are billed at a lower rate than uncached input tokens

No long-term commitments

Flexible hourly billing for dedicated instances with no prepayments, contracts, or minimums required

Zettabyte

Getting Started

Deep Infra

Get Started

1
Create an account
Sign up (GitHub-supported) and open the Deep Infra dashboard
2
Enable billing
Add a payment method to unlock GPU rentals and API usage
3
Pick a GPU option
Choose serverless APIs or dedicated A100, H100, H200, B200, or B300 instances
4
Launch and connect
Start instances with SSH access or call the OpenAI-compatible API endpoints
5
Monitor usage
Track spend and instance status from the dashboard and shut down when idle

Zettabyte

Get Started

1
Visit the Zettabyte website
Access the main platform to explore available services.
2
Choose a service type
Select between on-demand, reserved clusters, or private cloud.
3
Register for an account
Provide necessary information to create a user account.
4
Set up your billing and access preferences
Fill in details for account management and payment.
5
Launch your first instance
Follow prompts to deploy your chosen compute resource.

Support & Global Availability

Deep Infra

Global Regions

Runs on self-operated, inference-optimized infrastructure in US-based data centers; no international region list is published.

Support

Documentation site, dashboard guidance, Discord community, feedback email (feedback@deepinfra.com), and contact-sales options.

Zettabyte