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.
Infrastructure
Infrastructure on ThecoreGrid covers the design, operation, and evolution of the foundational systems that power modern software at scale.
We explore compute, networking, and storage layers, along with virtualization, containers, and cloud platforms in highload environments. The focus is on production-grade engineering: reliability, fault tolerance, capacity planning, cost efficiency, and secure system design. Topics include Infrastructure as Code, automation, provisioning, multi-region setups, traffic routing, and failure recovery. We analyze real-world trade-offs and operational challenges, supported by BigTech practices, incident post-mortems, and lessons from large-scale infrastructure failures. You’ll find deep dives into observability, performance tuning, and platform reliability under dynamic workloads. Instead of basic setup guides, the Infrastructure tag delivers practical insights for platform engineers, DevOps teams, SREs, and architects responsible for building and maintaining robust, scalable, and efficient infrastructure systems.
Reverse Address Translation in multi-GPU systems
How Reverse Address Translation affects latency in multi-GPU systems and why TLB misses hinder All-to-All operations in ML workloads.
Slice spraying in GPU clusters without blocking
Slice spraying in GPU clusters: how TENT reduces latency and increases throughput in LLM serving through dynamic data movement –>
Multi-path GPU Traffic Balancing Without Bottlenecks
Multi-path GPU balancing eliminates network bottlenecks in clusters. An analysis of NIMBLE and its impact on throughput and latency. –>
GitOps Policy for Kubernetes through Kyverno and Argo CD
GitOps policy for Kubernetes becomes manageable when enforcement is built into the delivery pipeline. The combination of Kyverno and Argo CD bridges this gap at the admission level.
ThecoreGrid Radar: LLM infrastructure moves into disaggregation, networks become programmable, and distributed systems formally verifiable
LLM Infrastructure, Disaggregation, Distributed Systems, GPU Clusters, Network Anomalies, Serverless, AI Agents
LLM evaluation at scale on Apache Spark
LLM evaluation at scale on Apache Spark: how the distributed architecture, caching, and statistical validation of models are structured.
MoE Expert Replication Without Excess Memory
How to optimize MoE expert replication: an analysis of CRAFT, load balancing, and throughput growth without overspending GPU memory.
SageMaker AI Accelerates ML Pipeline for Edge Robots
How an ML pipeline based on Amazon SageMaker accelerates training and reduces labeling costs in edge robots and distributed systems
Hybrid fronthaul planning in O-RAN networks
Hybrid fronthaul planning in O-RAN: how to reduce TCO and ensure capacity in CF-mMIMO through a combination of fiber, mmWave, and FSO.