Baseten introduces Loops SDK
Loops is a Python SDK for frontier RL post-training, abstracting hardware, enabling scalable training to production inference with async RL and long contexts. Early access available.
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AI model inference platform
baseten.coLast updated
In short: Baseten raised $300 million in Series E funding at a $5 billion valuation and introduced various inference optimizations for frontier AI models.
Loops is a Python SDK for frontier RL post-training, abstracting hardware, enabling scalable training to production inference with async RL and long contexts. Early access available.
DFlash uses parallel token prediction, outperforming EAGLE and vLLM on benchmarks like GSM8k and MATH-500.
It provides production-grade, multi-tenant inference API for AI labs without building or buying a gateway. Features authentication, rate limits, billing, and white-label branding.
This open multimodal model unifies audio, images, video, and text for efficient agentic workflows. It enables single-pass reasoning across modalities with low latency on Baseten's platform.
Nvidia invested $150 million in Baseten, which helps companies deploy and run large AI models.
Kate Clark / Wall Street Journal: Sources: AI inference startup Baseten raised $300M led by IVP and CapitalG at a $5B valuation, more than doubling...
Baseten, the company powering inference for the world’s fastest-growing AI products, today announced that it has acquired Parsed, a reinforcement learning startup specializing in post-training...
Baseten, the platform for mission-critical inference, announced today that it has signed a Strategic Collaboration Agreement (SCA) with Amazon Web Services, Inc. (AWS), expanding availability...
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