AITOPAI热报
Industry

PyTorch Foundation 与 Agentic AI Foundation 将在 NeurIPS 期间举办悉尼线下交流活动

官方账号PyTorch@PyTorch
Post
View the post
Why we picked it

12月8日在悉尼参加 NeurIPS 的话，PyTorch 三家基金会办了场免费酒会，能碰到搞 AI 和云原生的工程师，可以顺手报个名。

PyTorch Foundation、Cloud Native Foundation 和 Agentic AI Foundation 三家基金会宣布于 12 月 8 日在悉尼举办晚间招待会。活动配合 NeurIPS 会议同期举行，时间为悉尼时间 6 至 9 点，地点在 Darling Pavilion（1 Harbour St）。参与者可与从事 AI 和云原生基础设施的研究者、工程师及开源从业者交流。活动提供饮品和小食，名额有限，需通过官网注册。

Original · PyTorch

PyTorch Foundation, @CloudNativeFdn, and the @AgenticAIFdn are hosting an evening reception alongside NeurIPS in Sydney on December 8.

Meet researchers, engineers, and open source practitioners working across AI and cloud native infrastructure, and swap ideas over drinks and small bites.

The reception runs from 6 to 9 PM Sydney time on Tuesday, December 8, at Darling Pavilion, 1 Harbour St. Space is limited.

Find event details and registration at https://t.co/hSgaPBDvwJ

#PyTorch#NeurIPS#Agentic AI Foundation#开源社区

Keep reading

Recent stories with the same tag or section
How-toBuildersMulti-sourceSelected01:02
NVIDIA shows grouped execution for MoE optimization in PyTorch

The non-obvious point is that the bottleneck in MoE training is often kernel launch overhead from Python-level expert loops, not the expert math itself. Engineers training MoE models in PyTorch can apply grouped execution to cut that overhead without restructuring their expert weights. The worked example uses biological foundation models, a niche domain where sparse expert routing is common.

#PyTorch#NVIDIA#MoE#fine-tuning
Event
官方账号PyTorch@PyTorch8 sourcesSource
ProductsBuildersMulti-sourceSelected03:35
PyTorch 2.15 Q&A Session on 5 November Release

The default switch to the rewritten NCCL backend and new NIXL one-sided transport affect anyone running distributed training, so tuning assumptions from earlier versions may need revisiting. Engineers building inference on Blackwell or Apple Silicon can check the live overview for concrete decode gains. Registration is open via the official link.

#PyTorch#NCCL#FSDP2#NVIDIA Blackwell
Event
官方账号PyTorch@PyTorch11 sourcesSource