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terraform: add Lambda Labs cloud provider support with dynamic API-driven configuration
Add initial Lambda Labs GPU cloud provider integration featuring a new dynamic
configuration system that queries the cloud provider's API to generate real-time
Kconfig options. This innovative approach represents a paradigm shift in how
kdevops handles cloud provider integration and paves the way for modernizing
support for AWS, Azure, GCE, and other providers.
I'm using Lambda as I find more sensible prices for what I want to do.
Dynamic Cloud Configuration Innovation:
- First cloud provider in kdevops to query API for real-time resource availability
- Dynamically generated Kconfig files based on current cloud provider state
- Live capacity information integrated into configuration menus
- API-driven instance type, region, and image discovery
- Automatic fallback to static defaults when API is unavailable
- Sets new standard for cloud provider integration in kdevops
The dynamic configuration system works through a novel two-tier approach:
1. Static Kconfig files define the configuration framework
2. Generated Kconfig files provide real-time data from Lambda Labs API
3. The 'make cloud-config' target updates configurations across all providers
4. Users see current availability and capacity directly in menuconfig
This architecture enables:
- Always up-to-date instance types without code changes
- Real-time capacity information during configuration
- Region availability that reflects current cloud state
- Automatic discovery of new resources as providers add them
- Consistent user experience even when API is unavailable
Authentication Architecture:
- File-based API key authentication (~/.lambdalabs/credentials)
- Eliminates environment variable complexity
- External data source for secure credential extraction
- Consistent with AWS/GCE authentication patterns
- No environment variables to avoid configuration confusion
Key Features:
- Full Lambda Labs terraform provider integration for GPU instances
- Dynamic Kconfig generation from Lambda Labs API
- SSH key management with automatic generation/upload
- Smart instance selection based on availability and cost
- Comprehensive test and debugging utilities
- Complete lifecycle management (create/destroy)
Infrastructure Capabilities:
- Support for all Lambda Labs GPU instance types (A10, A100, H100)
- Dynamic region selection based on availability
- Automatic SSH key management and configuration
- Capacity checking before provisioning
- Per-directory SSH key isolation
Future Impact:
This dynamic API-driven configuration approach establishes a new pattern
that should be adopted for other cloud providers in kdevops:
- AWS: Could query EC2 for instance types and availability zones
- Azure: Could fetch VM sizes and regions dynamically
- GCE: Could retrieve machine types and zones in real-time
- OCI: Could pull compute shapes and availability domains
The implementation demonstrates that cloud configurations don't need to be
static - they can be living, breathing representations of actual cloud
resources, dramatically improving the user experience and reducing
maintenance burden.
Testing and Validation:
- Capacity checking script (check_lambdalabs_capacity.py)
- SSH connectivity testing (test_lambda_ssh.py)
- Instance creation testing (test_lambdalabs_create.py)
- API validation and debugging utilities
Tested with:
- Lambda Labs A100-SXM4-40GB instances
- Multiple regions (us-west-1, us-west-2, us-tx-1)
- Dynamic configuration generation and updates
- Complete provisioning and destruction cycles
Generated-by: Claude AI
Signed-off-by: Luis Chamberlain <[email protected]>
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