Phala Cloud
Confidential VMs, GPU compute, and private model endpoints for AI workloads
You are leaving botconomy for the provider’s website. Link verified 9/22/2026.
What this product helps you do
Phala Cloud is confidential-computing infrastructure for AI applications. Developers can deploy Docker Compose workloads to CPU Confidential VMs, use GPU TEE capacity, call private model endpoints, protect runtime secrets, and obtain attestation evidence for the code and environment that executed a workload.
Problems it solves
- Sensitive AI workloads need protection while code and data are in use
- Teams need verifiable evidence about the runtime executing an application
- Agent backends and model services need isolated CPU or GPU infrastructure
- Developers need a familiar container deployment path for confidential workloads
Phala Cloud provides confidential CPU and GPU infrastructure for AI workloads. It supports containerized applications and agent backends in Confidential VMs, private model endpoints, GPU TEE capacity, sealed secrets, and attestation that can be checked by users or software.
CPU CVMs and storage use metered pricing, verified accounts receive limited introductory CVM credits, and GPU capacity is priced separately. Teams can deploy through the web interface or developer tooling and should account for compute, persistent storage, networking, and operational controls.
Information
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Phala Cloud
Confidential VMs, GPU compute, and private model endpoints for AI workloads
Phala Cloud provides confidential CPU and GPU infrastructure for AI workloads. It supports containerized applications and agent backends in Confidential VMs, private model endpoints, GPU TEE capacity, sealed secrets, and attestation that can be checked by users or software.
CPU CVMs and storage use metered pricing, verified accounts receive limited introductory CVM credits, and GPU capacity is priced separately. Teams can deploy through the web interface or developer tooling and should account for compute, persistent storage, networking, and operational controls.
What this product helps you do
Phala Cloud is confidential-computing infrastructure for AI applications. Developers can deploy Docker Compose workloads to CPU Confidential VMs, use GPU TEE capacity, call private model endpoints, protect runtime secrets, and obtain attestation evidence for the code and environment that executed a workload.
Problems it solves
- Sensitive AI workloads need protection while code and data are in use
- Teams need verifiable evidence about the runtime executing an application
- Agent backends and model services need isolated CPU or GPU infrastructure
- Developers need a familiar container deployment path for confidential workloads
Information
You are leaving botconomy for the provider’s website. Link verified 9/22/2026.
Related AI products
PolyAI
PolyAI provides an enterprise dialog-agent platform with a non-technical builder and developer ADK for voice and customer-engagement workflows, plus testing, APIs, integrations, monitoring, support, and per-minute operation.
MultiOn
MultiOn provides a beta Agent API, remote browser sessions, local browser-extension mode, and structured retrieval tools for automating web navigation and extraction from natural-language commands.
OpenRouter
OpenRouter provides one OpenAI-compatible API and credit balance for models from many providers, with model comparison, configurable provider routing, fallbacks, and usage reporting.