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tpu-v5-8
$ sky launch --gpus tpu-v5p-8 --region us-central1 -c ttpu Missing runtime_version in accelerator_args, using default (v2-alpha-tpuv5) Considered resources (1 node): ----------------------------------------------------------------------------------------- CLOUD INSTANCE vCPUs Mem(GB) ACCELERATORS REGION/ZONE COST ($) CHOSEN ----------------------------------------------------------------------------------------- GCP TPU-VM - - tpu-v5p-8:1 us-central1-a 16.80 ✔ ----------------------------------------------------------------------------------------- Launching a new cluster 'ttpu'. Proceed? [Y/n]: ⚙︎ Launching on GCP us-central1 (us-central1-a). W 01-16 17:42:36 instance_utils.py:112] Got return code 8 in us-central1-a: 'Insufficient reserved capacity. Contact customer support to increase your reservation. [EID: 0x7adf6d58c08b0aa4]' sky.exceptions.ResourcesUnavailableError: Failed to acquire resources in us-central1-a for {GCP({'tpu-v5p-8': 1}, accelerator_args={'runtime_version': 'v2-alpha-tpuv5'})}. ↺ Trying other potential resources. ⨯ Failed to provision resources. View logs at: ~/sky_logs/sky-2025-01-16-17-42-20-623267/provision.log sky.exceptions.ResourcesUnavailableError: Failed to provision all possible launchable resources. Relax the task's resource requirements: 1x GCP({'tpu-v5p-8': 1}, accelerator_args={'runtime_version': 'v2-alpha-tpuv5'}) To keep retrying until the cluster is up, use the `--retry-until-up` flag.
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