LLM Multi-Agent System Holos and Agentic Web Architecture
How the LLM multi-agent system Holos is structured: Agentic Web architecture, agent coordination, economic model, and scaling to millions of agents.
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.
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 –>
Distributed sequence generation without bottlenecks
Distributed sequence generation replaces database sequences at scale. It removes central bottlenecks while keeping compatibility with existing systems. The problem does not manifest immediately — until the organization attempts to transition from a relational database to a cloud-native storage solution. In this case, over a hundred services relied on database sequences for generating primary keys. … Read more
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.
SKID Identifier System for Distributed Systems
SKID identifiers: how to combine sortability, security, and zero-lookup verification in distributed systems without dual keys. –>
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.