AI Computing Acceleration
Computing Acceleration
Magik Compute's proprietary inference acceleration engine boosts LLM inference performance through full-stack optimization—from hardware and software to algorithms and deployment. Simultaneously, it flexibly allocates computing resources, optimizes batch processing and model segmentation based on the number and status of server clusters, balancing energy efficiency and cost.
Magik
Inference
Acceleration
Inference
Acceleration
Cluster
Management
Management
Distributed Scaling
Fault Tolerance & Redundancy
Heterogeneous Optimization
Model Acceleration
Graph Orchestration
Operator Acceleration
Operator Fusion
Lightweight Deployment
Distillation
Quantization
Sparsification