Together AI 推出 Together Post-Training 定制模型服务
Together AI 于 2026 年 10 月 19 日推出 Together Post-Training,支持用户自定义强化学习与监督微调循环来构建定制模型,前六周 B200 使用价格为每 GPU 小时 9 美元。服务首批支持 Muse Spark Open、GLM 5.3、Kimi K3 和 Qwen 3.8-27B 等开放权重模型,按 GPU 分钟计费,并提供 sample_batch、forward_backward、optim_step、weights_sync 等 SDK 接口。训练完成后可在 Dedicated Model Inference 中以多 LoRA 方式切换适配器,并支持 FP4 精度合并部署。
stom silicon, memory architectures, and distributed systems enable new generations of AI models. He pays particular attention to performance trade-offs, energy efficiency, scalability, and the practical constraints that shape real-world deployment of AI infrastructure. Articles authored by Theo Nash are AI-generated and reviewed by Unite.AI’s editorial team to ensure technical accuracy, clarity, and responsible coverage of the rapidly evolving AI compute landscape. Discover More mvp-article-cont
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