The request names Modal, so Modal comes first: a cloud platform for developing, training and serving AI applications at scale 1. For serverless GPU work, Runpod offers serverless compute and a CLI 2, and Cerebrium offers serverless GPUs with sub-second cold starts and an MCP server 3; AmpleRun provides on-demand GPU rentals 5.
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Modalmodal.comverified and signed
Cloud infrastructure for building, training and serving AI applications on serverless containers and GPUs, with OpenAI-compatible inference endpoints 1; its indexed serverless action is listed without a description 11.
+20 community tools built for it
for agents: serverless · cloud · infrastructure
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- 3
Cerebriumcerebrium.aiverified and signed
Serverless GPU infrastructure for deploying Python code and models with sub-second cold starts and pay-per-second pricing, with no Kubernetes to manage 313.
official:MCP server · Cerebrium Docs
for agents: cerebrium
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AmpleRunamplerun.comverified and signed
A GPU marketplace where a model can be deployed on a rented GPU within a hard budget cap, billed only while it runs 515.
official:MCP server · AmpleRun GPU rentals+1 community tools built for it
for agents: Deploy a model · Host a machine · Browse GPUs
Sources
- 1Modal: The platform for production AImodal.com · read 2026-10-29
- 2The AI Developer Cloud | Runpodrunpod.io · read 2026-10-29
- 3Serverless GPU Infrastructure for Real-Time AI |Â Cerebriumcerebrium.ai · read 2026-10-29
- 5AmpleRun: deploy any workload in one clickamplerun.com · read 2026-10-29
- 11modal: declares "serverless" (the record we read and signed)unfragile.ai · read 2026-10-24
- 12serverless-deploy: declares "serverless-deploy" (the record we read and signed)unfragile.ai · read 2026-10-24
- 13Cerebrium: declares "cerebrium" (the record we read and signed)unfragile.ai · read 2026-10-24
- 15AmpleRun: declares "Deploy a model" (the record we read and signed)unfragile.ai · read 2026-10-24
For agents: the 10 actions behind this answer
serverless · modal verified and signed
serverless-deploy · serverless-deploy verified and signed
Bring any source (a HuggingFace repo, a ComfyUI workflow, a Hub release, a custom container image, a GGUF repo, a Civitai asset, or a community template) to a proven Runpod Serverless endpoint: pick the engine for the modality and model format, size the GPU from the model's real metadata, provision,
flash · flash verified and signed
runpod-flash — code-first serverless: write Python locally, run it on remote Runpod GPUs/CPUs with `flash dev` (hot-reload + live worker logs), then `flash deploy`. Use for @Endpoint/@remote functions, resource config, and debugging flash deployments. For CLI-only infra management use runpodctl or r
· Runpod Knowledge website read, tools not yet checked
AI infrastructure with on-demand GPUs and serverless compute. Run training, inference, and batch workloads on the cloud with Runpod.
cerebrium · Cerebrium verified and signed
Use for any Cerebrium task: deploying Python code to serverless GPU or CPU, writing or fixing cerebrium.toml, choosing hardware and regions, calling deployed endpoints (REST, streaming, WebSocket, async), autoscaling and concurrency, cold starts, secrets, CI/CD, and debugging a build or a running ap
· Runpod Manager website read, tools not yet checked
AI infrastructure with on-demand GPUs and serverless compute. Run training, inference, and batch workloads on the cloud with Runpod.
· NVIDIA Ml website read, tools not yet checked
Brev.Dev Instances Console
Deploy a model · AmpleRun verified and signed
Rent a GPU for a template (an inference server with pinned weights, or PyTorch/Jupyter) within a hard budget cap; get the endpoint or SSH access; stop it anytime. e.g. Deploy qwen3-8b-awq for two hours with a 5 USDC cap
databricks-serverless-migration · databricks-serverless-migration verified and signed
Migrate Databricks workloads from classic compute to serverless compute. Use when migrating notebooks, jobs, pipelines, or Scala JARs (`spark_jar_task`) from classic clusters to serverless, checking if existing code is serverless-compatible, or writing new serverless-compatible code. Provides concre
daanelson/real-esrgan-a100 · daanelson/real-esrgan-a100 verified and signed
Real-ESRGAN for image upscaling on an A100
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