alibabacloud-pai-eas-service-deployDeploy AI models as PAI-EAS inference services. Supports LLMs (Qwen, Llama), image gen (SD, SDXL), speech synthesis, and more. When to use: deploy models, cr...
Install via ClawdBot CLI:
clawdbot install sdk-team/alibabacloud-pai-eas-service-deployGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses system directories or attempts privilege escalation
sudo mvCalls external URL not in known-safe list
https://help.aliyun.com/zh/pai/user-guide/mount-storage-to-servicesAudited Apr 24, 2026 · audit v1.0
Generated May 7, 2026
Deploy large language models like Qwen or Llama as scalable inference services on PAI-EAS. Supports vLLM and SGLang backends for high-throughput serving, ideal for chatbots and text generation applications.
Deploy Stable Diffusion or SDXL models as image generation inference services. Enables text-to-image and image-to-image workflows for creative design and content generation.
Deploy speech synthesis models for text-to-speech applications. Supports real-time audio generation for virtual assistants, audiobooks, and accessibility tools.
Deploy custom-trained AI models (e.g., PyTorch, TensorFlow) as RESTful inference services. Allows integration with existing applications via standard HTTP endpoints.
Charge customers per inference request or per hour of service runtime. Variable costs align with usage, suitable for fluctuating workloads.
Offer reserved instances for guaranteed throughput at a discounted rate. Attracts customers with predictable high-volume inference needs.
Package and sell pre-deployed models (e.g., popular LLMs, diffusion models) as ready-to-use services. Lowers barrier for non-technical users.
💬 Integration Tip
Leverage Aliyun CLI with plugins (aiworkspace, eas) for automation. Always run pre-checks (list-images, describe-machine-spec) before service creation to validate parameters.
Scored Jul 23, 2026
Parse, search, and analyze application logs across formats. Use when debugging from log files, setting up structured logging, analyzing error patterns, correlating events across services, parsing stack traces, or monitoring log output in real time.
Control remote Windows machines via SSH. Use when executing commands on Windows, checking GPU status (nvidia-smi), running scripts, or managing remote Windows systems. Triggers on "run on Windows", "execute on remote", "check GPU", "nvidia-smi", "远程执行", "Windows 命令".
Perform reverse lookup of gTLD domains hosted on a specified nameserver with optional filters by TLD and domain prefix length.
Configure OpenClaw installations with optimized settings, channel setup, security hardening, and production recommendations.
Essential curl commands for HTTP requests, API testing, and file transfers.
Connect to remote desktops via RDP, VNC, and SSH X11 with secure tunneling and troubleshooting.