AppZed orchestrates generative AI models across heterogeneous GPU clusters, optimizing token throughput, inference latency, and hardware utilization.
Built with modern architectural principles, rigorous security standards, and seamless workflow integrations.
Intelligently schedules LLM inference across H100, A100, and decentralized compute nodes.
Granular metrics tracking tokens/sec, KV cache utilization, and TTFT (time to first token).
Seamlessly deploy fine-tuned open weights models with automated vLLM / TensorRT acceleration.
We are actively onboarding design partners, early customers, and ecosystem collaborators. Share your requirements to reserve your invitation.