Plugins
1 pluginResults for “gpu”
18 skills
lord1egypt modal-serverless-gpu
Run ML workloads on Modal's serverless GPU cloud: deploy models as auto-scaling APIs, run batch jobs, and schedule tasks with pay-per-second GPU pricing.
2
orchestra-research modal-serverless-gpu
Run ML workloads on Modal's serverless GPU cloud platform with auto-scaling, pay-per-second pricing, and Python-native infrastructure.
10.4k · bundle
orchestra-research lambda-labs-gpu-cloud
Manage and use Lambda Labs GPU cloud instances for ML training and inference with SSH access, persistent filesystems, and multi-node clusters.
10.4k · bundle
google gke-inference
Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers.
14.4k
nvidia tao-setup-nvidia-gpu-host
Checks and installs NVIDIA driver, CUDA Toolkit, and NVIDIA Container Toolkit for GPU-accelerated Docker and Kubernetes hosts. Supports multiple Linux distributions with automated install and read-only check modes.
2.2k · bundle
nvidia tao-run-on-brev
Manage NVIDIA Brev GPU instances for TAO training, evaluation, and inference using the Brev CLI and Docker.
2.2k · bundle
More results
lingxling modal
Deploy and scale Python AI/ML workloads on Modal's serverless cloud, including GPU compute, web endpoints, scheduled jobs, and persistent storage.
253 · bundle
k-dense-ai latchbio-integration
Build and deploy bioinformatics workflows as serverless pipelines on the Latch platform using Python decorators, cloud data management, and GPU support.
30.2k · bundle
google gke-compute-classes
Configures, optimizes, and troubleshoots GKE ComputeClasses for Spot VMs with on-demand fallback, GPU/TPU targeting, machine family selection, and zone colocation.
14.4k · bundle
nvidia tao-run-on-lepton
Submit TAO jobs to Lepton managed GPU compute on DGX Cloud, with run/status/cancel interface and multi-node distributed training support.
2.2k · bundle
k-dense-ai modal
Deploy and serve AI/ML models on Modal's serverless cloud platform with on-demand GPUs, autoscaling containers, persistent storage, and scheduled jobs.
30.2k · bundle
mhassan0000 ito-compute
Queries live GPU inventory, submits authenticated fixed-rate RFQs, and checks status via the canonical Itô compute CLI or MCP server, with gated node qualification.
1
microsoft airunway-aks-setup
Walks users from a bare AKS cluster to a running AI model deployment, covering cluster verification, controller install, GPU assessment, provider setup, and first deployment.
2.7k · bundle
pwdev-solucoes ai-infra
Operates AI infrastructure as a production dependency: manages GPU utilization, MCP servers, LLM gateways, inference pipelines, token costs, semantic caching, and model observability.
2
nvidia tao-run-platform
Submit and monitor GPU training jobs on Brev, SLURM, Docker, or Kubernetes using the TAO Execution SDK, with job handles, S3 I/O wrapping, and multi-node distributed training.
2.2k · bundle
nvidia cuopt-install
Install cuOpt for Python, C, or REST server via pip, conda, or Docker, and verify the installation.
2.2k · bundle
orchestra-research skypilot-multi-cloud-orchestration
Run ML training and batch jobs across multiple clouds with automatic cost optimization, spot instance recovery, and unified orchestration.
10.4k · bundle
nvidia dynamo-interconnect-check
Validates that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink. Use after deploying a disagg or multi-node recipe to confirm KV transport is correct, or use troubleshoot for already-failed pods.
2.2k · bundle