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Packet AI

Fast GPU deployments with pay-per-use billing

GPU-focused๐Ÿ‡บ๐Ÿ‡ธ USinference-apijupytervscode

Packet AI is a GPU cloud platform by hosted.ai offering fast GPU deployments with pay-per-use billing, free unlimited data egress, and OpenAI-compatible APIs for inference.

3
GPU Models
$0.66
From / hour

Available GPUs

Hourly on-demand pricing. Click column headers to sort.

Prices last updated: April 6, 2026

GPU Modelโ†‘
Memoryโ†‘
GPUsโ†‘
Price / hrโ†‘
Updatedโ†‘
Source
B200192GB1x$2.25/hr4/6/2026
H200141GB1x$1.50/hr4/6/2026
RTX 6000 Pro96GB1x$0.66/hr4/3/2026

Pros & Cons

Advantages

  • Fast deployment under 5 minutes
  • Free unlimited data egress
  • OpenAI-compatible API for inference
  • Browser-based development environments (VS Code, Jupyter)
  • Persistent storage available
  • Budget control tools
  • EU data center option for compliance
  • Competitive pricing with transparent rates
  • Access to latest NVIDIA Blackwell GPUs

Limitations

  • B200s currently sold out, H200s coming soon
  • Newer provider with less established track record
  • Limited data center locations compared to major clouds
  • Smaller scale compared to established hyperscalers

Key Features

Full Root SSH Access

Direct SSH access to GPU instances with full root control and native performance

Browser-Based Development

VS Code and Jupyter environments accessible directly in the browser

OpenAI-Compatible API

Drop-in replacement for OpenAI APIs with automatic model discovery and streaming support

Instant Setup

Deploy GPU instances in under 5 minutes without procurement cycles or contracts

Smart Resource Optimization

Advanced scheduling technology that optimizes GPU utilization and reduces costs

Pricing Options

OptionDetails
On-Demand PricingPay per second with no long-term commitments or minimum usage requirements
Smart SchedulingAdvanced resource optimization that reduces costs by eliminating idle GPU time

Getting Started

  1. 1

    Sign up in seconds

    Quick account creation with no credit card required to start

  2. 2

    Select GPU type

    Choose from available NVIDIA GPUs including RTX Pro 6000, H200s, and B200s

  3. 3

    Deploy and connect

    Instance ready in under 5 minutes with SSH access or web dashboard

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