KV cache restoration acceleration through 3D parallelism
KV cache restoration in LLM serving: how 3D parallelism reduces TTFT and eliminates bottlenecks in compute and I/O. –>
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Adaptive microservice management under dynamics
Adaptive microservice management in cloud-native systems: how load dynamics, network, and dependencies affect autoscaling and management architecture
SFC for split learning reduces latency
How optimizing split learning through SFC reduces latency in distributed AI by jointly managing placement and routing
ThecoreGrid Radar: Trends in distributed systems, blockchain, and network optimization
A selection of architectural insights and releases we read this week Infrastructure 🔹 DataCenterGym: A physics-informed simulator for multi-objective data center scheduling. The tool allows modeling and optimizing resource allocation in data centers, taking into account physical constraints and multiple objectives, significantly improving management efficiency. Read the release 🔹 Spot-and-Scoot: Investigating spot instance availability. A methodology … Read more
Virtual Tensors Eliminate Data Movement in DNN
Data movement optimization through virtual tensors: how VTC reduces latency and eliminates unnecessary operations in DNN compilation.
DWDP for LLM Inference Without Inter-GPU Synchronization
How DWDP optimizes LLM inference by eliminating inter-GPU synchronization and increasing throughput in multi-GPU systems.
Network slicing with trust constraints without latency loss
Online network slicing with trust constraints: how the Path–Link model reduces latency and accelerates VNF placement in multi-domain infrastructure.