AI Accelerator Chips and Systems
AI Accelerator HardwareMatX's core offering consists of specialized AI accelerator chips engineered for transformer-based large language models. The hardware is designed to support both the training and inference phases for models starting at 7 billion parameters, with an optimal performance target for models of 20 billion parameters or more.
- High-throughput processing optimized for LLMs
- Advanced interconnects for superior scaling to large clusters
- Designed to offer high performance at a lower cost than general-purpose GPUs
- Supports both training and inference workloads