PyTorch ✓

@PyTorch · joined 16 Sep 2016

Tensors and neural networks in Python with strong hardware acceleration. PyTorch is an open source project at the Linux Foundation. #PyTorchFoundation

513 503Followers

95Following

3 638Posts total

58.6KViews on collected posts

Latest posts

PyTorch ✓@PyTorch23 Sep

@PyTorch A benchmark reproduction workshop would fit this well: start from published results, recreate the environment, then document any gaps. Leaving with a runnable artifact and a list of assumptions would make the event useful beyond the talks. 1 views · 0 likes · 0 reposts · 0 replies Open on X →

PyTorch ✓@PyTorch23 Sep

@PyTorch @Meta @Arm A useful edge AI demo would report sustained latency, memory use and battery impact on the actual device. Running it offline and after several minutes of use would make the deployment tradeoffs much clearer than a single fast inference. 4 views · 0 likes · 0 reposts · 0 replies Open on X →

PyTorch ✓@PyTorch23 Sep

Following a great community gathering at Graphcore's London office, momentum is building for PyTorch Conference North America 2026. Join PyTorch Foundation board member Sylvain Viguier and fellow open source developers, researchers, and technical leaders in San Jose, California

0:23

8.4K views · 17 likes · 3 reposts · 1 replies Open on X →

PyTorch ✓@PyTorch23 Sep

@PyTorch heavy AI models can not run on normal laptops, hardware costs are definitely a major bottleneck. 10 views · 0 likes · 0 reposts · 0 replies Open on X →

PyTorch ✓@PyTorch23 Sep

@PyTorch @Meta @Arm 现场跑起来的体验，可能比再发一篇 benchmark 更有用 26 views · 0 likes · 0 reposts · 0 replies Open on X →

PyTorch ✓@PyTorch22 Sep

Build AI on the edge with ExecuTorch at a two-day @Meta + @Arm hackathon at San Francisco State University. Students, developers, and AI enthusiasts can get hands-on experience building AI applications with ExecuTorch on Arm-powered devices, with technical talks, demos, 12.8K views · 44 likes · 5 reposts · 4 replies Open on X →

PyTorch ✓@PyTorch22 Sep

@PyTorch I think there might be some technical information hidden in there somewhere! Can you please rephrase or provide more context about what this is referring tod. 16 views · 0 likes · 0 reposts · 0 replies Open on X →

PyTorch ✓@PyTorch22 Sep

Open software. Open hardware. Open standards. Open data. Open benchmarks. If your Bay Area event advances open AI, it could be part of #OpenSourceAIWeek, October 16-25, featuring flagship events #PyTorchCon and #AGNTCon + #MCPCon. Submit to be a part of it all: https://t.co/9De

0:05

13.1K views · 29 likes · 3 reposts · 4 replies Open on X →

PyTorch ✓@PyTorch22 Sep

How do you keep @vllm_project moving at the speed of light without excluding users who run diverse models on diverse hardware? In a new PyTorch Foundation blog, contributors from @IBM, @Meta, and @huggingface introduce hardware-agnostic layers designed to balance frontier https

11.8K views · 43 likes · 8 reposts · 4 replies Open on X →

PyTorch ✓@PyTorch22 Sep

Where research meets real-world application. 🌎 At #PyTorchCon North America, hear from the researchers and practitioners advancing #PyTorch and putting those advances to work. See how ideas move from research into practical implementation and how what gets learned in practice h

12.3K views · 14 likes · 1 reposts · 0 replies Open on X →

Against accounts of the same size

10 posts from the last 90 days, next to the 100K–1M follower range. below its peers on both reach and engagement.

Median views4 236this account5 983median for 100K–1M

Reach, %0.83%this account1.49%median for 100K–1M

Engagement, %0.06%this account0.93%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	4 236	5 983	0.71×
Reach (views ÷ followers)	0.83%	1.49%	0.55×
Engagement rate	0.06%	0.93%	0.07×

Others in this range → Compare with another account → How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

12.3K22 Sep

11.8K

13.1K

12.8K

2623 Sep

8.4K

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.12%22 Sep

0.47%

0.27%

0.00%

0.41%

0.00%23 Sep

0.00%

0.25%

0.00%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes72.1%147 in total

Reposts9.8%20 in total

Replies6.4%13 in total

Quotes0.5%1 in total

Bookmarks11.3%23 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Latest posts

Against accounts of the same size

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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