… The release also targets cost and operational efficiency. New capabilities for NAS archiving and long-term retention aim to reduce storage costs, while expanded threat detection extends scanning coverage across AWS, Azure, NAS systems, and Microsoft 365 environments. …
… As GPU clusters grow, the cost of repeatedly regenerating context rises in both power consumption and infrastructure requirements, making purpose-built memory systems necessary for sustainable AI operations. …
… Integrating vector indexing into standard file systems aims to simplify deployment and lower barriers to enterprise AI adoption. By embedding RAG capabilities directly in storage, IBM is positioning CAS as a foundational layer for AI-enabled infrastructure. …
… Lab structure and leadership The lab will continue to be co-directed by Aude Oliva, Senior Research Scientist at MIT CSAIL, and David Cox, Vice President, AI Foundations, at IBM Research. …
… MFU measures what fraction of peak theoretical FLOPs the chip actually sustains on a real workload. SemiAnalysis estimates that at 40% TPU MFU, the cost per effective training FLOP drops by roughly 62% compared to GB300 NVL72, with breakeven at roughly 15% TPU MFU. …
… Combined with full data locality, no per-token API costs, and complete control over model selection, it offers a self-hosted path that scales with a growing development team without requiring datacenter infrastructure or lockstep cost increases. vLLM Online Serving – LLM Inference Performance vLLM … …