Confidential VM
-
Usage steps
- tdx.small: -
- tdx.medium: -
- tdx.large: -
- TDX-backed app servers
- Docker workloads
- APIs
- Agents
- Proof-generating services
P
Phala pricing
Confidential AI cloud for running private LLM inference, agents, and GPU workloads inside hardware-backed TEEs.
- Free plan
- No
- Paid from
- -
- Plans
- 3
- Free trial
- -
What is Phala?
Phala is a confidential AI cloud platform for developers and enterprises that need private, verifiable compute. It runs Docker Compose workloads in confidential VMs on Intel TDX and NVIDIA H100, H200, and B300 GPUs, and offers OpenAI-compatible LLM endpoints with encrypted prompts. Features include an agent sandbox with sealed keys, a GPU marketplace, attestation reports that prove what code ran, and a model catalog. It suits private AI inference, training, and data use cases in finance, healthcare, and legal. The platform is sold with paid GPU and model usage pricing and a start building sign-up.
Plans and prices
GPU TEE
-
- TEE-ready GPU capacity
- Private inference
- Training
- Protected batch jobs
Storage
-
- Persistent storage
Prices in USD, as shown by phala.com. Source: pricing page. Last checked October 30, 2026.
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Copy the prompt below and paste it into the agent you already use. It has the plans and prices from this page and asks you the right questions first.
See the prompt
I want to decide whether Phala (phala.com) is the right tool and which plan to pick. Below is what the StableMRR pricing directory read from Phala's own pricing page (last checked 2026-10-30). It can be out of date, so treat it as a starting point. Category: Developer tools / Hosting and deployment What it does: Confidential AI cloud for running private LLM inference, agents, and GPU workloads inside hardware-backed TEEs. Plans: - Confidential VM: -. Includes: TDX-backed app servers, Docker workloads, APIs, Agents, Proof-generating services - GPU TEE: -. Includes: TEE-ready GPU capacity, Private inference, Training, Protected batch jobs - Storage: -. Includes: Persistent storage Alternatives in the directory: AgentFast, AppMaster, Appliku, Architect Pricing page: https://phala.com/pricing Directory listing: https://stablemrr.com/p/phala-com First ask me three short questions about my team size, budget and what I need it for. Then recommend one plan, tell me what could make it a bad fit, and compare it with the alternatives. Finish with what I should check on the vendor's site before I pay.
Pricing facts
- Pricing model
- Usage based
- Billing
- monthly
- Discounts
- $20 free credits for CVM after verification
About Phala
- Platforms
- api
- Security and compliance
- HIPAA, ISO 27001, GDPR
- Integrations
- Docker, Docker Compose, TensorFlow, PyTorch, Hugging Face, OpenAI-compatible LLM endpoints, GitHub, DeepWiki, Dune, OpenRouter
Features
- Confidential VM
- GPU TEE
- Storage
- Private AI model inference
Price history
No price changes recorded since we started tracking on October 30, 2026.
Alternatives to Phala
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|---|---|---|---|---|---|
| AgentFastStarter kit and production layer for building AI products on Next.js with auth, billing, embeds, APIs and run logs. | Hosting and deployment | No | - | 2 | Oct 29, 2026 |
| AppMasterNo-code platform for building web and native mobile apps with generated backend and source code. | Hosting and deployment | Yes | $195/mo | 4 | Oct 29, 2026 |
| ApplikuDeploys and manages Django applications on cloud servers the user owns, via a dashboard, CLI, and API. | Hosting and deployment | Yes | $10/mo | 5 | Oct 29, 2026 |
| ArchitectLive-migrates running Kubernetes workloads off spot instances before reclamation, preserving memory and connections. | Hosting and deployment | No | $1,500/mo | 4 | Oct 29, 2026 |
| Base44No-code AI platform that builds full stack apps, websites and AI agents from plain language descriptions. | Hosting and deployment | Yes | - | 6 | Oct 29, 2026 |
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How this page was made. Plans and prices are read automatically from phala.com's public pricing page, checked against the page text, and re-checked about every week. Method. Something wrong? Tell us.