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RunPodvsVast.ai

RunPod vs Vast.ai: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
RunPod
Vast.ai
Provider type
Specialist
Marketplace
Founded
2022
2017
Headquarters
San Francisco, CA
San Francisco, CA
Billing model
On-demand, Spot, Serverless (per-second)
Per-second on-demand, Interruptible, Reserved
Min commitment
None
None
Support tier
Community → Enterprise
Community → Enterprise
Regions
4 regions
4 regions

Strengths & Best For

RunPod

RunPod is an AI developer cloud trusted by 1M+ developers, offering Pods (on-demand GPU instances), Serverless (autoscaling endpoints that scale to zero), and Clusters (multi-node distributed training) — all in one account. GPU catalog: B300, B200, H200, RTX PRO 6000, H100 NVL, H100 PCIe, H100 SXM, A100, L40S, RTX 4090, RTX 5090. Serverless and Clusters also available. Public Endpoints for instant model access. 31 global regions. SOC 2 Type II, HIPAA, GDPR compliant.

Strengths
  • B300, H200 — competitive Blackwell and Hopper pricing
  • RTX 5090 and RTX 4090 for budget inference
  • Serverless with sub-200ms cold starts (FlashBoot) and zero idle cost
  • Pods + Serverless + Clusters + Public Endpoints in one account
  • SOC 2 Type II, HIPAA, GDPR compliant
  • 31 global regions with per-second billing
Weaknesses
  • Community cloud tier hardware quality varies by host
  • Secure Cloud (network-isolated) costs more than community tier
  • Support response times slower on lower tiers
Best For
AI developers wanting one platform for all stagesServerless inference with zero idle costMulti-node distributed training via ClustersBudget-conscious teams needing RTX 4090/5090 inference
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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
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Live GPU Pricing

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Region Coverage

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

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Provider pages

RunPod pricing and specs Vast.ai pricing and specs

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Key differences

RunPod

B300, H200, B200 — Pods, Serverless, and Clusters in one platform

Vast.ai

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

AttributeRunPodVast.ai
Provider typespecialistmarketplace
Billing modelOn-demand, Spot, Serverless (per-second)Per-second on-demand, Interruptible, Reserved
Min commitmentNoneNone
Regions4 (US, EU, CA, +1)4 (US, EU, APAC, +1)
Support tierCommunity → EnterpriseCommunity → Enterprise
Best forAI developers wanting one platform for all stages, Serverless inference with zero idle costBudget AI training and fine-tuning, Batch inference on consumer GPUs
Founded / HQ2022 · San Francisco, CA2017 · San Francisco, CA