Create Pod
Authorizations
Bearer authentication header of the form Bearer <token>
, where <token>
is your auth token.
Response
Number of GPUs allocated to the node.
Model of the GPU allocated.
CPU_NODE
, A10_24GB
, A100_80GB
, A100_40GB
, A30_24GB
, A40_48GB
, RTX3070_8GB
, RTX3070_8GB
, RTX3080_10GB
, RTX3080Ti_12GB
, RTX3090_24GB
, RTX3090Ti_24GB
, RTX4070Ti_12GB
, RTX4080_16GB
, RTX4080Ti_16GB
, RTX4090_24GB
, H100_80GB
, H200_96GB
, H200_141GB
, GH200_480GB
, GH200_624GB
, L4_24GB
, L40_48GB
, L40S_48GB
, RTX4000_8GB
, RTX5000_16GB
, RTX6000_24GB
, RTX8000_48GB
, RTX4000Ada_20GB
, RTX5000Ada_32GB
, RTX6000Ada_48GB
, A2000_6GB
, A4000_16GB
, A4500_20GB
, A5000_24GB
, A6000_48GB
, V100_16GB
, V100_32GB
, P100_16GB
, T4_16GB
, P4_8GB
, P40_24GB
Name of the pod.
Hourly price for running the pod.
Type of provider associated with the pod, based on ProviderTypeEnum.
runpod
, fluidstack
, lambdalabs
, hyperstack
, oblivus
, cudocompute
, scaleway
, tensordock
, datacrunch
, latitude
, crusoecloud
, massedcompute
, akash
, primeintellect
, primecompute
, dc_impala
, dc_kudu
, dc_roan
Type of socket used by the GPU.
PCIe
, SXM2
, SXM3
, SXM4
, SXM5
Type of the pod, based on PodTypeEnum.
HOSTED
, EXTERNAL
ID of the user associated with this pod, if applicable.
Instance attached resources.
Automatically restart the instance.
Currency in which the base price is calculated.
Base hourly price for the pod. If the base currency is set.
Timestamp when the pod was created.
ID of the custom template applied to the pod, if applicable.
Type of image selected for the pod.
ubuntu_22_cuda_12
, cuda_12_1_pytorch_2_2
, cuda_11_8_pytorch_2_1
, cuda_12_1_pytorch_2_3
, cuda_12_1_pytorch_2_4
, cuda_12_4_pytorch_2_4
, cuda_12_4_pytorch_2_5
, stable_diffusion
, axolotl
, bittensor
, hivemind
, petals_llama
, vllm_llama_8b
, vllm_llama_70b
, vllm_llama_405b
, custom_template
, flux
Unique identifier for the pod, generated as a UUID.
Details about any installation failures that occurred, if applicable.
Percentage of the installation process completed.
Installation status of the pod, based on InstallationStatusEnum.
PENDING
, ACTIVE
, FINISHED
, ERROR
, TERMINATED
IP address/addresses of the instance.
Whether the instance is spot.
Password for accessing the Jupyter environment on the pod, if applicable.
Port mapping.
Hourly price during the provisioning process. If empty then priceHr
is used.
Instance resources.
SSH connection/connections details.
Current status of the pod, based on PodStatusEnum.
PROVISIONING
, PENDING
, ACTIVE
, STOPPED
, ERROR
, TERMINATED
Hourly price when the pod is stopped. If empty then priceHr
is used.
ID of the team owning this pod, if applicable.
Timestamp when the pod was last updated.
ID of the wallet associated with this pod for billing or resource tracking.