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Together AI launches Inkling-Small multimodal model with 1M context

By PulseAugur Editorial · [4 sources] ·

Together AI has launched Inkling-Small, an open-weight multimodal model developed by ThinkyMachines. This model boasts 276 billion parameters with 12 billion active, offering native reasoning across text, image, and audio, and supporting a context window of up to 1 million tokens. Inkling-Small achieves performance comparable to the larger Inkling model but at a significantly reduced cost and size, making it suitable for coding, agentic tasks, and general multimodal applications. AI

IMPACT Provides developers with a production-ready path for a new multimodal model, potentially accelerating adoption in coding and agentic applications.

RANK_REASON The cluster announces the availability of a specific AI model on a platform, which falls under tooling or product integration.

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AI-generated summary · Google Gemini · from 4 sources. How we write summaries →

Together AI launches Inkling-Small multimodal model with 1M context

COVERAGE [4]

  1. X — Together (inference / OSS) TIER_1 English(EN) · togethercompute ·

    Together AI gives developers a high-throughput production path for running Inkling-Small on @NVIDIAAI Accelerated Infrastructure across multimodal, coding, and

    Together AI gives developers a high-throughput production path for running Inkling-Small on @NVIDIAAI Accelerated Infrastructure across multimodal, coding, and agentic workloads. Start building: https://t.co/cDoeF5OLHM

  2. X — Together (inference / OSS) TIER_1 English(EN) · togethercompute ·

    Together AI gives developers a high-throughput production path for running Inkling-Small on NVIDIA Accelerated Infrastructure across multimodal, coding, and age

    Together AI gives developers a high-throughput production path for running Inkling-Small on NVIDIA Accelerated Infrastructure across multimodal, coding, and agentic workloads. Start building: https://t.co/BOGutQYlCo

  3. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    NVIDIA has released Molt, a PyTorch-native agentic reinforcement learning framework designed for building and deploying autonomous AI agents at scale. The frame

    NVIDIA has released Molt, a PyTorch-native agentic reinforcement learning framework designed for building and deploying autonomous AI agents at scale. The framework aims to simplify the development of multi-step automation systems. https://www. marktechpost.com/2026/08/01/nv idia…

  4. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Physical AI infrastructure is shifting from compute-centric to layered systems addressing perception, motion, and failure recovery. NVIDIA leads with accelerate

    Physical AI infrastructure is shifting from compute-centric to layered systems addressing perception, motion, and failure recovery. NVIDIA leads with accelerated computing and simulation, but the stack now requires interdependent platforms for data, validation, and continuous lea…

    LINKS therobotreport.com/5-physical-ai-infrastr…

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