Stay updated with the latest news and announcements from i10X.
Moonshot AI releases MoonEP, an MIT-licensed expert parallelism library that reduces network bottlenecks in MoE model training. Optimize GPU clusters and cut costs. Explore the guide.
WANDR is Perplexity AI's open benchmark of 500 tasks testing LLM agents on multi-hop web research and citation accuracy. Explore how it bridges gaps in RAG evaluation and sets new standards. Learn more.
Moonshot AI's Kimi K3 delivers 1M-token context and open weights at aggressive pricing. Discover how it disrupts RAG pipelines and closed APIs for enterprise deployments. Learn the key trade-offs.
Autonomous agents are shifting AI from chatbots to continuous reasoning engines, raising inference demands and new security challenges. Learn the infrastructure and governance implications for enterprise deployment.
The AI infrastructure surge is creating massive demand for electricians, HVAC techs, and carpenters, turning physical labor into the new bottleneck for scaling models. Discover how hyperscalers are responding.
The AI singularity is shifting from theory to an industrial equation shaped by power grids, hardware yields, and data constraints. Learn how physical infrastructure slows progress and drives an economic singularity. Discover the analysis.
Laguna 118B is Google AI's 118B-parameter dense model built for advanced reasoning, math and coding. Learn about deployment trade-offs, enterprise hosting and practical performance beyond benchmarks. Explore the analysis.
Enterprises face new challenges with LLMs in production: evaluation, observability for agentic systems, and cost management. Learn how to build robust, verifiable AI infrastructure.
Moonshot AI's Kimi K3 challenges DeepSeek with superior context and efficiency. Explore the impact on TCO, enterprise MLOps, and global AI pricing. Discover how Chinese models reshape infrastructure.
Leading scientists from OpenAI and Anthropic are calling for federal pacing tools like model evaluations and compute tracking to manage rapid AI development. Explore the policy implications and stakeholder impacts.
Anthropic's open-source Model Context Protocol standardizes how AI models connect to tools and data sources. It reduces fragmentation and improves enterprise compliance and security. Explore the analysis.
Enterprises are pivoting from brittle agent pilots to LLM-first designs with RAG, caching and evaluations. Discover how this approach tames costs and unlocks reliable production AI.