Files
foxhunt/infra/modules/kapsule/variables.tf
jgrusewski 10d81b0703 infra(kapsule): consolidate CI builds onto H100 gpu-training pool
Remove orphaned `ci` pool (GP1-XS, 4 vCPU wasted — nothing scheduled to it).
Remove `ci-build` pool (GP1-M) — builds now run on gpu-training (H100-1-80G:
24 vCPU, 240GB, real CUDA). This eliminates the need for CUDA stubs,
separate test-gpu jobs, and ml crate exclusions.

Pool layout after:
  always-on    DEV1-M        (core services, always on)
  gitlab       GP1-XS        (GitLab CE + runner manager, always on)
  gpu-training H100-1-80G    (CI builds + ML training, scale-to-zero)
  gpu-inference L4-1-24G     (trading inference, scale-to-zero)

Build pod limits bumped to 16 vCPU / 64GB (from 6/12GB) to use H100 capacity.
Runner now has `gpu` tag — all tests including ml crate run in single job.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-25 17:20:26 +01:00

72 lines
1.6 KiB
HCL

variable "region" {
description = "Scaleway region for the Kapsule cluster"
type = string
}
variable "cluster_name" {
description = "Name of the Kubernetes cluster"
type = string
default = "foxhunt"
}
variable "k8s_version" {
description = "Kubernetes version for the Kapsule cluster"
type = string
default = "1.34"
}
variable "always_on_type" {
description = "Instance type for the always-on node pool"
type = string
default = "DEV1-M"
}
variable "enable_gpu_training_pool" {
description = "Create GPU node pool for ML training (H100)"
type = bool
default = false
}
variable "gpu_training_type" {
description = "Instance type for the GPU training node pool"
type = string
default = "H100-1-80G"
}
variable "gpu_training_max_size" {
description = "Maximum number of nodes in the GPU training pool"
type = number
default = 1
}
variable "enable_gpu_inference_pool" {
description = "Create GPU node pool for inference (L4)"
type = bool
default = false
}
variable "gpu_inference_type" {
description = "Instance type for the GPU inference node pool"
type = string
default = "L4-1-24G"
}
variable "gpu_inference_max_size" {
description = "Maximum number of nodes in the GPU inference pool"
type = number
default = 1
}
variable "enable_gitlab_pool" {
description = "Create dedicated node pool for GitLab CE"
type = bool
default = false
}
variable "gitlab_type" {
description = "Instance type for the GitLab node pool"
type = string
default = "DEV1-L"
}