Isolated Compute Clusters
Hardware specifications and networking architecture for Langtune isolated compute nodes.
NVIDIA H100
Ephemeral Storage
Hardware Options
Langtune provisions dedicated, ephemeral compute instances specifically tailored for fine-tuning workloads. You can select the hardware profile that best matches your model size and budget:
- •A100 (80GB): Ideal for 7B to 14B parameter models.
- •H100 (80GB): Optimized for 70B parameter models with FP8 capabilities.
- •Multi-Node Clusters: Scale up to 8x H100 instances for extremely large datasets or distributed MoE (Mixture of Experts) training.
Network Architecture
To guarantee data sovereignty, all compute nodes operate within an isolated VPC with No Ingress Routing.1. You initialize a fine-tuning job via the API.2. The system provisions a 'Dark Node'—a compute instance with outbound-only internet access restricted solely to the designated model hub and your secure data bucket.3. The node pulls the base model weights, ingests your dataset, executes the training loop, pushes the LoRA adapters back to your secure bucket, and terminates immediately.