Vast.ai alternatives

5 other AI Infrastructure & Deployment tools we have sourced reviews for, all in the same niche as Vast.ai (GPU Cloud). Within that, they're ordered by aitrove popularity, not by a quality score: we haven't tested them hands-on, so we don't rank them as "best".

Vast.ai in one minute

Best for: Budget experiments and fine-tuning jobs that tolerate interruptions.

Biggest catch: Reliability depends on the host, and interruptions and storage loss have been reported.

Skip it if: You run production or regulated workloads.

Price: Marketplace pricing. H100 roughly $0.90–$1.87/hr (third-party reports). (checked Oct 11, 2026)

At a glance

ToolBest forBiggest catchStarting price
PaperspaceTeams already on DigitalOcean who need GPU VMs.Legacy Gradient and Core APIs are deprecated and unavailablePay-as-you-go GPU pricing via DigitalOcean (check its pricing page). (checked Oct 11, 2026)
LambdaML teams who want straightforward GPU rentals with no egress fees.H100 on demand is $3.99/GPU-hr, higher than marketplace-style cloudsH100 SXM from $3.99/GPU-hr (8x), H100 PCIe $3.29/GPU-hr. Clusters from $5.54/GPU-hr. (checked Oct 11, 2026)
RunPodHobbyists and startups doing disposable GPU work.Community Cloud is peer-to-peer, with variable reliability and no SLAPay-as-you-go. E.g. H100 PCIe about $1.99/hr Community, $2.89/hr Secure (third-party report). (checked Oct 11, 2026)
Together AIDevelopers serving or fine-tuning open models.Serverless rates vary by model, so you need to check each oneServerless per million tokens (by model). H100 clusters $3.99/GPU-hr on demand, $1.99 preemptible. (checked Oct 11, 2026)
Foundry (now Mithril)Teams shopping for flexible GPU capacity.Rebranded from Foundry to Mithril in August 2025, so the old name and URL are staleSpot and reserved pricing on mithril.ai (varies by GPU). (checked Oct 11, 2026)

1. Paperspace Product changed

AI Infrastructure & Cloud · GPU Cloud Computing

Best for: Teams already on DigitalOcean who need GPU VMs.

Pros

  • GPU cloud machines and notebooks, now part of DigitalOcean
  • Unified DigitalOcean API and billing
  • Simple GPU VMs for ML work

Biggest catch

Legacy Gradient and Core APIs are deprecated and unavailable

Skip it if: You relied on the old Gradient workflows.

Starting price: Pay-as-you-go GPU pricing via DigitalOcean (check its pricing page). (checked Oct 11, 2026)

Sources for Paperspace

2. Lambda Renamed

AI Infrastructure & Cloud · GPU Cloud Computing

Best for: ML teams who want straightforward GPU rentals with no egress fees.

Pros

  • On-demand H100, H200 and B200 GPUs plus 1-Click Clusters
  • Per-minute billing and no egress fees
  • Simple, published per-GPU-hour prices

Biggest catch

H100 on demand is $3.99/GPU-hr, higher than marketplace-style clouds

Skip it if: You need the cheapest possible spot GPUs.

Starting price: H100 SXM from $3.99/GPU-hr (8x), H100 PCIe $3.29/GPU-hr. Clusters from $5.54/GPU-hr. (checked Oct 11, 2026)

Sources for Lambda

3. RunPod

AI Infrastructure & Cloud · GPU Cloud Computing

Best for: Hobbyists and startups doing disposable GPU work.

Pros

  • Cheap GPU pods, especially on Community Cloud
  • Serverless GPUs billed per second
  • Secure Cloud for dedicated data-center hardware

Biggest catch

Community Cloud is peer-to-peer, with variable reliability and no SLA

Skip it if: You need guaranteed production reliability on the cheap tier.

Starting price: Pay-as-you-go. E.g. H100 PCIe about $1.99/hr Community, $2.89/hr Secure (third-party report). (checked Oct 11, 2026)

Sources for RunPod

4. Together AI

AI Infrastructure & Cloud · GPU Cloud Computing

Best for: Developers serving or fine-tuning open models.

Pros

  • OpenAI-compatible serverless inference for many open models
  • GPU clusters with on-demand, reserved and preemptible pricing
  • Dedicated endpoints for isolation and guaranteed performance

Biggest catch

Serverless rates vary by model, so you need to check each one

Skip it if: You want a consumer chat app.

Starting price: Serverless per million tokens (by model). H100 clusters $3.99/GPU-hr on demand, $1.99 preemptible. (checked Oct 11, 2026)

Sources for Together AI

5. Foundry (now Mithril) Renamed

AI Infrastructure & Cloud · Infrastructure & Cloud

Best for: Teams shopping for flexible GPU capacity.

Pros

  • GPU compute marketplace aggregating capacity across providers
  • Spot and reserved compute with transparent pricing
  • Used by Cursor and research labs, per the company

Biggest catch

Rebranded from Foundry to Mithril in August 2025, so the old name and URL are stale

Skip it if: You want a fully managed ML platform.

Starting price: Spot and reserved pricing on mithril.ai (varies by GPU). (checked Oct 11, 2026)

Sources for Foundry (now Mithril)

Pros, catches and prices are compiled from public sources (official pricing and docs pages, published reviews, user reports), not hands-on testing. Prices change often, so check the vendor page before you buy.