Foundry (now Mithril) alternatives

5 other AI Infrastructure & Deployment tools we have sourced reviews for, all in the same niche as Foundry (now Mithril) (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".

Renamed: Foundry rebranded as Mithril on August 4, 2025, at mithril.ai. Sources: [1]

Foundry (now Mithril) in one minute

Best for: Teams shopping for flexible GPU capacity.

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.

Price: Spot and reserved pricing on mithril.ai (varies by GPU). (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)
Vast.aiBudget experiments and fine-tuning jobs that tolerate interruptions.Reliability depends on the host, and interruptions and storage loss have been reportedMarketplace pricing. H100 roughly $0.90–$1.87/hr (third-party reports). (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. Vast.ai

AI Infrastructure & Cloud · GPU Marketplace

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

Pros

  • Peer-to-peer GPU marketplace with very low prices
  • H100s often well under hyperscaler rates
  • Container-based, quick to start

Biggest catch

Reliability depends on the host, and interruptions and storage loss have been reported

Skip it if: You run production or regulated workloads.

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

Sources for Vast.ai

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.