tiered storage
2 stories filed under tiered storage on Beyond Market Intelligence. The newest of them: “Scaling LLM Inference: Smarter Strategies for KV Cache and GPU Efficiency” and “Valkey's Future Expands Beyond Caching, Say Its Lead Maintainers”. Optimizing LLM inference isn't just about faster models, it's about smarter infrastructure. Two years after forking from Redis, Valkey is making clear its ambitions extend well beyond caching. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every tiered storage story on Beyond Market Intelligence, newest first.
Scaling LLM Inference: Smarter Strategies for KV Cache and GPU Efficiency
Optimizing LLM inference isn't just about faster models, it's about smarter infrastructure. Khawaja Shams brings a distributed systems perspective to the challenge, tackling GPU utilization, KV cache memory cliffs, and tail latency head-on. His strategies around tiered storage and disaggregated prefill and decode architectures offer a practical path to better fleet performance and cost economics. For a deeper look at how these optimizations play out in practice, see Google's account of its 40% speed gain from AI-driven developer toolkit improvements.
Valkey's Future Expands Beyond Caching, Say Its Lead Maintainers
Two years after forking from Redis, Valkey is making clear its ambitions extend well beyond caching. The project's twelve maintainers and nine committee members are pushing forward with meaningful upgrades, including better throughput, stronger cluster functionality, and planned features like synchronous replication and tiered storage. That's a serious roadmap for a database aiming to be a core infrastructure player. For teams exploring AI-driven workflows, the emphasis on automation and security feels particularly timely.