edmxlabs

An infrastructure platform for training, simulating, fine-tuning, and operating large-scale AI and large language models, consolidating compute, data generation, and serving into one controlled environment. It is for developers, data teams, and operations teams in business-to-business organizations building frontier AI systems. It is delivered as gated infrastructure and API services with whitelist-only access, onboarded in controlled cohorts through a member console.

Key features

• Distributed training with elastic GPU/TPU fabric
• Topology-aware scheduling and fault-tolerant checkpointing
• LoRA, full-parameter and RLHF fine-tuning pipelines
• Versioned reproducible fine-tuning runs
• Programmatic synthetic data generation at scale
• Synthetic data filtering with lineage tracking
• Low-latency inference mesh with autoscaling
• Speculative decoding for inference
• Live telemetry and observability
• Custom AI accelerator co-design
• AI world simulation
• Mechanistic interpretability tooling