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Databricks AIR 向所有客户开放:agent 集群可自助申请 GPU 训练端点

Databricks 研究员称团队已从手动跑实验转为 agent 集群执行,AIR 现对所有客户开放,agent 可自助申请从 <1B 到 1T+ 的 GPU 训练端点并监控状态。

Ivan Zhou
@ivanzhouyq13 天前收录原推发布于 2026.10.17
Databricks AIR 向所有客户开放:agent 集群可自助申请 GPU 训练端点(第 1 张,共 2 张)
Databricks AIR 向所有客户开放:agent 集群可自助申请 GPU 训练端点(第 2 张,共 2 张)
Ivan Zhou @ivanzhouyq原推发布于 2026.10.17
在 X 上打开原推

Over the course of the past year, my research team at @databricks has completely shifted from manually running every experiment to having a swarm of agents run experiments for us. As a result, the training workloads of my research team have skyrocketed and continue to rise. Fortunately, we have a very scalable GPU infra named AIR. Through AIR, our agents can easily provision GPU endpoints for training models of various sizes (<1B to 1T+) and monitor their status. The agent swarm + AIR give us an infinite amount of execution power, so our focus has shifted towards defining crystal-clear goals and reviewing the outcomes. Our models come out more quickly, the quality goes up, the speed increases, and new products also get launched more quickly… AIR is now available for all @databricks customers to use. We dogfood our own product first ;) Now you should be able to unleash your AI research team with infinite execution power as well.

x.com/ivanzhouyq/status/2111230155221815644采集于 2026.10.18 10:20