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Research
Global· MarkTechPost· 13d ago

Prime Intellect Launches Prime Inference: Serverless and Reserved Serving for Frontier Open Models

Prime Intellect has debuted Prime Inference, a high-performance platform optimized for serving frontier open-source models on NVIDIA’s latest Blackwell hardware. By leveraging advanced architectural optimizations like vLLM and specialized compression techniques, the platform achieves significant throughput and low-latency performance. This offering bridges the gap for developers who need to run large-scale inference workloads with the cost-efficiency of open-source models while maintaining enterprise-grade serving capabilities on state-of-the-art compute infrastructure.

What this means for you

Developers and AI infrastructure teams should consider Prime Inference to maximize GPU efficiency and throughput for high-demand frontier model deployments.

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Industry
United States· TechCrunch AI· 4h ago

When it came to Cal AI’s viral success, a small army of influencers paid off

Cal AI, a startup specializing in automated scheduling, achieved rapid commercial success by aggressively leveraging influencer marketing partnerships. Within two years, the platform scaled to $30 million in annual revenue, ultimately prompting an acquisition by MyFitness in March. The outcome underscores how targeted social media campaigns can propel B2C AI tools to lucrative exits, proving that strategic audience engagement often outpaces raw feature complexity when trying to establish a significant market foothold in the competitive health-tech landscape.

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Products
United States· The Verge AI· 5h ago

ChatGPT can peek at your Chrome tabs now

OpenAI has expanded the functionality of its ChatGPT Chrome extension, enabling the chatbot to access and interpret content directly from a user’s open browser tabs. By tagging Chrome during a conversation, users can provide the AI with immediate context from web pages, streamlining workflows like summarizing articles or drafting emails based on live data. This integration signifies a shift toward more seamless, context-aware AI assistants that interact fluidly with the user's primary workspace rather than existing in isolation.

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