AI Fine-Tuning
Fine-Tuning with AMD Instinct™ GPUs
Once your base models are trained, you can fine-tune them on the same infrastructure.
Single-Node Fine-Tuning to Reduce Complexity
TensorWave Cloud delivers optimized bare-metal infrastructure, ensuring consistent performance, exceptional uptime, and effortless scaling, powered by AMD Instinct™ MI-Series accelerators.
Run many fine-tuning jobs on one AMD Instinct™ node instead of complex multi-node clusters.
Simplify setup, debugging, and handoffs; no need to re-architect for small, targeted updates.
Use the same high-memory GPUs to fit larger context windows and batch sizes into a single machine.
Bring Your Fine-Tuning Stack
Use the tools you already trust; we handle scale, orchestration, and the operational complexity required to run them reliably in production.
Frameworks & Runtimes
Production-ready support for modern training and inference stacks, enabling scalable development and distributed execution.
Experiment Tracking
Integrated tracking captures metrics and artifacts, making experiments easy to compare, reproduce, and iterate.
Tuning & pipelines
Automated tuning and orchestration streamline workflows and move models from research to production.
Observability
Real-time visibility into performance, health, and logs helps teams diagnose issues and optimize systems.
