Adaptive Compute Allocation Dynamically routes workloads to CPU, GPU, or hybrid memory for optimized AI inference
Kubernetes-Based AI Management Provides an operator to manage and scale AI workloads on any Kubernetes distribution
LLM Ingress Controller Gateway Ensures secure, low-latency, and high-performance AI model inference at scale
Time-Sliced GPU Allocation Enables multiple AI workloads to share GPU resources for cost-efficient utilization
Multi-IaC Framework Support Seamlessly integrates Terraform, Ansible, and Helm with ready-made modules for efficient infrastructure provisioning
Optimized Test-Time Compute Dynamically adjusts compute-resources based on query complexity for efficiency
