New KV cache compaction technique cuts LLM memory 50x without accuracy loss

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...

Interoperable AI OS for multi-cloud compute liquidity: Inside Yotta Labs’ vision for the next generation of global AI infrastructure

The AI race is no longer a battle of model architecture alone. As GPU demand explodes, the primary bottleneck has shifted from silicon to infrastructure. Under these constraints, AI has effectively ...
IEEE

A Continuous Optimization Approach for Deadline-Constrained Cloud Workflow Scheduling

Abstract: In cloud computing, deadline-constrained workflow scheduling, a typical NP-hard problem, plays a vital role in meeting users’ quality-of-service (QoS) and efficiently managing cloud ...
IEEE

Consensus-Based Particle Swarm Optimization-Assisted Trust-Tech Methodology for Multi-Solution Optimal Power Flow Problem

Abstract: Optimal Power Flow (OPF) is a constrained, high-dimensional, non-convex nonlinear programming problem that typically has multiple local optimal solutions. To address the issue where most ...