Brief

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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

TOOL · X — Together (inference / OSS) English(EN) · 1w

Together AI STT models now hold the top two spots for transcription speed on the @ArtificialAnlys Speech to Text leaderboard.

Together AI's speech-to-text models have achieved the top two positions on the Artificial Analysis leaderboard for transcription speed. The NVIDIA Parakeet TDT 0.6B V3 model, running on Together AI, is currently ranked first, processing 303 seconds of audio for every second of computation. AI

IMPACT Sets new SOTA on transcription speed benchmarks, potentially improving efficiency for voice AI applications.
SIGNIFICANT · Together AI blog English(EN) · 4mo · [7 sources]

Optimizing inference speed and costs: Lessons learned from large-scale deployments

Together AI has launched a brand refresh, emphasizing its role as an "AI Native Cloud" designed for builders of AI-native applications. The company is focusing on optimizing inference for efficiency and cost-effectiveness, a critical factor for AI products that scale rapidly. They are integrating advanced research, such as adaptive speculative decoding and quantization techniques, into their platform to improve performance and reduce costs for customers like Cursor and Decagon. AI

IMPACT Together AI's focus on optimizing inference infrastructure and costs is crucial for the economic viability and scalability of AI-native applications.