Compute Comparison
vs
All providers →

Packet AI vs Vast.ai: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Packet AI and Vast.ai. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Provider type
Specialist
Marketplace
Founded
2025
2017
Headquarters
United States
San Francisco, CA
Billing model
On-demand hourly and monthly
Per-second on-demand, Interruptible, Reserved
Min commitment
None
None
Support tier
Standard
Community → Enterprise
Regions
2 regions
4 regions

Strengths & Best For

Packet AI

Packet AI offers dedicated single-tenant and dynamic scheduler-managed shared GPU instances for AI workloads. Both deployment options are available with on-demand hourly and monthly billing. Packet AI also provides Token Factory, a managed LLM inference API with an OpenAI-compatible endpoint for teams that want to serve models without operating their own inference stack.

Strengths
  • Dedicated and dynamic GPU instances
  • Hourly and monthly billing
  • Managed OpenAI-compatible LLM inference API
  • Single-tenant deployment option
Weaknesses
  • Smaller ecosystem than hyperscale clouds
  • Some GPU configurations are region-specific
Best For
Dedicated GPU workloadsScheduler-managed GPU capacityManaged LLM inference
Visit Packet AI
Packet AI Rating

No reviews yet — add yours ↗

Vast.ai

Vast.ai is a GPU marketplace where prices are set by supply and demand across 40+ data centers. 68+ GPU types spanning Blackwell, Hopper, Ada Lovelace, Ampere, Turing, Volta, Pascal — from B300 and H200 down to RTX 3090. Three pricing tiers: On-Demand (higher availability), Interruptible (lower cost, interruptible), Reserved (committed pricing). Per-second billing, no lock-in. SOC 2 certified. Check the live table for current rates.

Strengths
  • B300, H200, H100 — competitive frontier pricing on marketplace rates
  • RTX 5090, RTX 4090 — consumer GPU inference at marketplace rates
  • 68+ GPU types from RTX 3060 to B300 — wide selection
  • Per-second billing, no minimum hours, no lock-in
  • Interruptible tier: lower cost than on-demand
  • SOC 2 certified
Weaknesses
  • Marketplace model — hardware quality and reliability varies by host
  • No enterprise SLAs or uptime guarantees
  • Interruptible instances can be reclaimed at any time
Best For
Budget AI training and fine-tuningBatch inference on consumer GPUsTeams needing maximum GPU varietyResearchers avoiding waitlists and quotas
Visit Vast.ai

Affiliate link — we may earn a commission.

Vast.ai Rating

No reviews yet — add yours ↗

Live GPU Pricing

Live prices load below.

Region Coverage

Vast.ai — 4 regions
USEUAPACVarious (40+ data centers)

Popular Comparisons

Key differences

Packet AI

Dedicated and dynamic GPU instances with managed LLM inference

Vast.ai

B300, H200, RTX 5090 — 68+ GPU types, per-second billing

AttributePacket AIVast.ai
Provider typespecialistmarketplace
Billing modelOn-demand hourly and monthlyPer-second on-demand, Interruptible, Reserved
Min commitmentNoneNone
Regions2 (US, UK)4 (US, EU, APAC, +1)
Support tierStandardCommunity → Enterprise
Best forDedicated GPU workloads, Scheduler-managed GPU capacityBudget AI training and fine-tuning, Batch inference on consumer GPUs
Founded / HQ2025 · United States2017 · San Francisco, CA