Model Context Protocol (MCP)
Coverage of Model Context Protocol (MCP) in the Nexus archive.
- Explainer: Why your legacy storage is choking your expensive GPU
Legacy storage systems are causing underutilization of GPUs in AI workloads due to insufficient data throughput, leading to lower ROI in AI projects. Companies often stage datasets to compensate, but HPE proposes an 'AI-ready data architecture' with unified access, metadata enrichment, and NVMe-based designs to address these bottlenecks.
- Most generative AI and custom model projects will be a bust: Gartner
Gartner predicts that at least half of generative AI projects will exceed budgets due to poor architectural choices and lack of expertise, with most custom model efforts abandoned due to costs and complexity. The firm's Hype Cycle for Generative AI highlights that domain-specific models may offer better results but remain immature, while applications like coding assistants show higher maturity despite IP and accuracy concerns.
- Anthropic MCP Design Vulnerability Enables RCE, Threatening AI Supply Chain
Cybersecurity researchers identified a critical design flaw in the Model Context Protocol (MCP) that could enable remote code execution (RCE), posing significant risks to systems using vulnerable MCP implementations and threatening the AI supply chain.