Run GPU workloads on Modal via generated launcher scripts.
npx skills add https://github.com/duypham2801/ThS_LLM --skill serverless-modal-duypham2801
Please help me install this Agent Skill. Skill: serverless-modal Source: https://github.com/duypham2801/ThS_LLM/tree/main/.claude/skills/serverless-modal Command: npx skills add https://github.com/duypham2801/ThS_LLM --skill serverless-modal-duypham2801
It eliminates the friction of provisioning and managing remote GPU infrastructure by letting you run training, fine-tuning, or inference code on Modal serverlessly, without SSH or Docker setup.
modal run command.Use the serverless-modal skill when you want to run GPU code by asking it to generate a Modal launcher that will execute your specified Python training or inference entrypoint on the best-fit GPU and save outputs to a volume.
High-intent search queries and answers about installing and using this skill.
Deploy an inference API by turning your endpoint into a persistent web service using Modal. The skill orchestrates cost-aware remote execution and scales the API automatically to zero when not receiving traffic.
Estimate GPU and VRAM costs before launch by selecting an execution pattern and specifying your hardware requirements. The skill calculates estimated compute expenses so you can choose the best-fit GPU for your budget.
You need Modal authentication to run serverless GPU workloads. Additionally, configuring optional secrets for Hugging Face or W&B allows the remote environment to securely access your model repositories and experiment tracking accounts.
Available execution patterns for serverless GPU compute include one-shot scripts, web APIs, vLLM, batch processing, LoRA fine-tuning, and distributed training. You select the pattern that matches your workload before launching the cost-aware execution.
BlackRoad-OS-IncRun Python workloads on Hugging Face Jobs with secure HF_TOKEN authentication.
anxiety135790Benchmarks language models using standardized academic and code evaluation suites.
qcmuuDeploy GPU-backed ML workloads as serverless functions using Modal.
lightrain-aRun GPU training and inference workloads on Modal with cost estimation.