VAST Data Targets KV Cache Storage and Neo Clouds as AI Infrastructure Enters the Exabyte Era
As AI infrastructure investment scales globally and inference workloads multiply, cache storage is emerging as the critical data layer that makes AI factories functional, persistent and economically…
Read the full articleYou might also wanna read
Sponsored: Why data storage, not compute power, may be AI's next major bottleneck
SPONSORED FEATURE: As AI evolves from novelty to autonomy, the real bottleneck isn't processing power—it's where to put all that data.
theregister.com·1d agoVAST Data Declares Itself an AI Operating System
All this time, VAST Data had more up its sleeve than storage or even a data platform. The company says it's built a full AI platform for the
Megaport Selects VAST Data as the AI Data Layer for Its Global Network and Compute Platform
VAST AI Operating System gives Megaport a unified data foundation for bare-metal compute, GPU infrastructure and distributed AI services
Meta rebuilds AI storage infrastructure to cut data wait times by 97% and reduce GPU idle time
An inside look at how the wannabe cloud provider cuts data wait times by up to 97 percent
datacenterdynamics.com·4d agoAI Caching Strategies: Reduce Costs and Latency
Master caching patterns for AI applications. Learn semantic caching, embedding caching, response caching, and cache invalidation strategies
Capacity allocation and the next generation of AI-era KPIs
AI workloads are reshaping data center infrastructure at an unprecedented scale. Rack densities exceeding 50 kW are becoming increasingly co
Comments
Sign in to join the conversation.
No comments yet. Be the first.