# TensorWave ## TensorWave Docs - [Introduction to ROCm](https://docs.tensorwave.com/welcome-to-tensorwave/introduction-to-rocm.md) - [FAQ](https://docs.tensorwave.com/welcome-to-tensorwave/faq.md) - [Out of the Box](https://docs.tensorwave.com/welcome-to-tensorwave/out-of-the-box.md): After purchase, you will receive instructions for a preconfigured environment that will allow you to easily transition into computing with the MI300X. - [Bare Metal Quickstart](https://docs.tensorwave.com/welcome-to-tensorwave/bare-metal-quickstart.md) - [PyTorch Quickstart](https://docs.tensorwave.com/welcome-to-tensorwave/pytorch-quickstart.md): Estimated time: 2 minutes, 3 minutes with buffer - [Docker Quickstart](https://docs.tensorwave.com/welcome-to-tensorwave/docker-quickstart.md): Estimated time: 5 minutes, 6 minutes with buffer. - [Kubernetes Quickstart](https://docs.tensorwave.com/welcome-to-tensorwave/kubernetes-quickstart.md): Estimated time: 6 minutes, 8 minutes with buffer. - [Hugging Face Quickstart](https://docs.tensorwave.com/welcome-to-tensorwave/hugging-face-quickstart.md): Estimated time: 7 minutes, 9 minutes with buffer. - [Clusters](https://docs.tensorwave.com/observability/clusters.md) - [Nodes](https://docs.tensorwave.com/observability/nodes.md) - [Slurm](https://docs.tensorwave.com/observability/slurm.md) - [Kubernetes](https://docs.tensorwave.com/observability/kubernetes.md) - [Notifications & Alerts](https://docs.tensorwave.com/observability/notifications-and-alerts.md) - [Slurm Overview](https://docs.tensorwave.com/slurm/slurm-overview.md) - [Access](https://docs.tensorwave.com/slurm/access.md) - [Storage](https://docs.tensorwave.com/slurm/storage.md) - [Jobs](https://docs.tensorwave.com/slurm/jobs.md) - [Containers](https://docs.tensorwave.com/slurm/containers.md) - [Network Drivers](https://docs.tensorwave.com/slurm/containers/network-drivers.md) - [Modules](https://docs.tensorwave.com/slurm/modules.md) - [Prolog / Epilog](https://docs.tensorwave.com/slurm/prolog-epilog.md) - [Job Submission Lua Plugin](https://docs.tensorwave.com/slurm/job-submission-lua-plugin.md) - [Healthchecks](https://docs.tensorwave.com/slurm/healthchecks.md) - [Performance](https://docs.tensorwave.com/slurm/performance.md) - [Common Issues](https://docs.tensorwave.com/slurm/common-issues.md) - [Health Overview](https://docs.tensorwave.com/kubernetes/health-overview.md) - [Nodes](https://docs.tensorwave.com/kubernetes/nodes.md) - [Workloads](https://docs.tensorwave.com/kubernetes/workloads.md) - [Filing Support Tickets](https://docs.tensorwave.com/support/filing-support-tickets.md) - [Syncing Public Keys](https://docs.tensorwave.com/user-and-team-management/syncing-public-keys.md) - [Managing team member access](https://docs.tensorwave.com/user-and-team-management/managing-team-member-access.md) - [Self-serve inviting users](https://docs.tensorwave.com/user-and-team-management/self-serve-inviting-users.md) - [Slurm- Old](https://docs.tensorwave.com/slurm-old.md): Slurm provides a multi-tenant framework for managing compute resources and jobs that span large clusters. - [Running Containerized Jobs](https://docs.tensorwave.com/slurm-old/running-containerized-jobs.md) - [Running Containerized Jobs in Pyxis](https://docs.tensorwave.com/slurm-old/running-containerized-jobs/running-containerized-jobs-in-pyxis.md): TensorWave Slurm integrates Pyxis, a container runtime plugin for Slurm that enables users to run containerized workloads directly within their jobs. - [Running Containerized Jobs with Apptainer](https://docs.tensorwave.com/slurm-old/running-containerized-jobs/running-containerized-jobs-with-apptainer.md) - [Managing Container Images with Enroot](https://docs.tensorwave.com/slurm-old/managing-container-images-with-enroot.md): TensorWave Slurm uses Enroot as its lightweight, high-performance container runtime for HPC and AI workloads. - [Running Jobs With Modules](https://docs.tensorwave.com/slurm-old/running-jobs-with-modules.md) - [Debugging Workloads and Interactive Jobs](https://docs.tensorwave.com/slurm-old/debugging-workloads-and-interactive-jobs.md) - [Custom Prolog and Epilog scripts](https://docs.tensorwave.com/slurm-old/custom-prolog-and-epilog-scripts.md) - [Healthchecks and SDebug](https://docs.tensorwave.com/slurm-old/healthchecks-and-sdebug.md): Overview of TensorWave's health checks and SDebug hardware debugging tool. This tool is designed to make cluster admins life easier w.r.t managing (un)healthy nodes. - [Easy Porting: NVIDIA to AMD Guide](https://docs.tensorwave.com/guides/easy-porting-nvidia-to-amd-guide.md) - [Policies](https://docs.tensorwave.com/policies.md) - [Terms of Service](https://docs.tensorwave.com/policies/terms-of-service.md): REVISED JAN 2024 - [Privacy Policy](https://docs.tensorwave.com/policies/privacy-policy.md): REVISED JAN 2024 - [AMD vs NVIDIA](https://docs.tensorwave.com/connect-with-us/amd-vs-nvidia.md) - [MI300X vs H100](https://docs.tensorwave.com/connect-with-us/amd-vs-nvidia/mi300x-vs-h100.md) - [Architecture](https://docs.tensorwave.com/connect-with-us/amd-vs-nvidia/architecture.md) - [Why TensorWave?](https://docs.tensorwave.com/connect-with-us/why-tensorwave.md) --- # Agent Instructions This documentation is published with GitBook. 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