The Model Context Protocol, a key standard for connecting AI models to external services, is being updated to change how it handles session identifiers to work better at scale. The new version uses stateless session management instead of requiring servers to track individual session IDs, similar to how most websites operate. This change should make it easier for companies to deploy MCP servers across multiple machines and distributed systems without extra infrastructure complexity.
Bristol Myers Squibb deployed its second NVIDIA DGX SuperPOD with eight Vera Rubin NVL72 systems, doubling down on AI infrastructure for drug discovery. The new system delivers 10x the performance per megawatt compared to its predecessor and will be accessible to all BMS scientists globally through a unified AI platform including NVIDIA BioNeMo Agent Toolkit. This removes computational bottlenecks and enables faster drug discovery cycles by democratizing access to supercomputing resources across the organization's research pipeline.
SpaceX is negotiating with the Pentagon to provide computing capacity for military AI applications, with potential contract value reaching several billion dollars. The Pentagon is seeking $30 billion in total funding to secure high-end AI chips for this initiative. The arrangement raises concerns among national security officials about the Defense Department's dependency on Musk-controlled companies.
Meta is in talks to lease computing power to Anthropic in a deal potentially valued at $10 billion over two years. The agreement would include monthly payments and early exit options, with the deal structured to begin in June. Meta would generate revenue from excess GPU capacity while it waits for demand for its own AI services to increase.
BaseRT is a runtime for serving AI models on Apple Silicon that achieves faster inference speeds than competing options like MLX and llama.cpp, with up to 6.4x faster prefill performance. The software enables running coding agents locally with zero data leaving the device, requiring only a serve command followed by pointing an agent to the endpoint. Users can now run complete AI inference and agent workflows entirely on-device without API keys or external dependencies.
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