Focal Interest
Focal Interest

Scalability

  1. Liger+ dynamically balances latency and throughput in large model inference
    Distributed inference system using interleaved parallelism to dynamically balance latency-throughput trade-offs via task-aware batch management and strategic kernel scheduling across multiple GPUs.
  2. Framework links biodiversity monitoring data to policy decisions
    Unified framework standardizing biodiversity monitoring data collection and policy reporting under the Global Biodiversity Framework, integrating field observations with actionable indicators.
  3. Nexa reports improved support efficiency and scalability
    AI-powered multi-tenant SaaS platform integrating chatbots and voice assistants for scalable automated customer support with real-time dashboards and dynamic knowledge bases.
  4. Integrating Quantum Software Tools with(in) MLIR
    A practical guide for integrating quantum software tools using MLIR infrastructure, demonstrated through a case study connecting PennyLane and Munich Quantum Toolkit.