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Pods
Manage containerized workloads and GPU pods.
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2,345
Total Pods
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8,737
Running
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5,711
GPU Pods
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6,082
Failed
| Name | Status | GPU Type | CPU | Memory | Image | Owner | Created | |
|---|---|---|---|---|---|---|---|---|
| data-alpha-33 | Failed | RTX-4090 | 16 cores | 128 GB | jax:0.4.20 | bob.zhang | 2026-06-03 | |
| jupyter-beta-25 | Creating | A10-24G | 4 cores | 128 GB | tensorflow:2.14 | jeff.lin | 2026-06-15 | |
| infer-prod-35 | Stopped | H100-80G | 32 cores | 32 GB | triton:24.01 | jeff.lin | 2026-06-15 | |
| jupyter-prod-2 | Stopped | RTX-4090 | 4 cores | 64 GB | pytorch:2.1 | sarah.chen | 2026-06-02 | |
| infer-prod-35 | Running | H100-80G | 4 cores | 64 GB | pytorch:2.1 | bob.zhang | 2026-06-13 | |
| vscode-prod-24 | Pending | RTX-4090 | 32 cores | 256 GB | tensorflow:2.14 | sarah.chen | 2026-05-27 | |
| train-prod-3 | Failed | RTX-4090 | 8 cores | 32 GB | jax:0.4.20 | bob.zhang | 2026-06-01 | |
| jupyter-beta-49 | Creating | L40S-48G | 8 cores | 16 GB | triton:24.01 | bob.zhang | 2026-06-07 | |
| data-beta-45 | Creating | A100-80G | 4 cores | 128 GB | jax:0.4.20 | mike.wang | 2026-05-31 | |
| vscode-beta-21 | Creating | RTX-4090 | 8 cores | 64 GB | pytorch:2.1 | mike.wang | 2026-06-02 |