Hacker News: perone

Show HN: Pandora M1, a distributed GPU monitor prototype

perone — Wed, 28 Oct 2026 16:46:13 +0000

Article URL: https://blog.christianperone.com/2026/10/pandora-m1-a-training-monitor-box-64-nodes-x-8-gpus-support/

Comments URL: https://news.ycombinator.com/item?id=50276588

Points: 2

# Comments: 0

Show HN: Pandora M1, a distributed training GPU monitor box

perone — Mon, 26 Oct 2026 20:00:29 +0000

Article URL: https://blog.christianperone.com/2026/10/pandora-m1-a-training-monitor-box-64-nodes-x-8-gpus-support/

Comments URL: https://news.ycombinator.com/item?id=50250059

Points: 1

# Comments: 0

Systems that no one will test

perone — Mon, 28 Sep 2026 10:51:46 +0000

Article URL: https://blog.christianperone.com/2026/09/the-systems-that-no-one-will-test/

Comments URL: https://news.ycombinator.com/item?id=49876052

Points: 155

# Comments: 84

Where the wild Discovery Loops are

perone — Fri, 26 Jun 2026 13:28:28 +0000

Article URL: https://blog.christianperone.com/2026/06/where-the-wild-discovery-loops-are/

Comments URL: https://news.ycombinator.com/item?id=48686398

Points: 1

# Comments: 0

Gemma3n architecture: a short guide [slides]

perone — Fri, 07 Nov 2025 14:08:49 +0000

Article URL: https://drive.google.com/file/d/15hbh03Wu5bLvvQsrtNN6qczCYn1JYuKP/view

Comments URL: https://news.ycombinator.com/item?id=45846553

Points: 2

# Comments: 0

Diffusion Elites: surprisingly good, simple and embarrassingly parallel

perone — Wed, 09 Jul 2025 21:12:31 +0000

Article URL: https://blog.christianperone.com/2025/07/diffusion-elites/

Comments URL: https://news.ycombinator.com/item?id=44514789

Points: 9

# Comments: 0

New comment by perone in "Show HN: VectorVFS, your filesystem as a vector database"

perone — Mon, 05 May 2025 17:41:48 +0000

I share the same feeling, I think filesystems will have to reinvent themselves given the pace of how useful ML models became in the past years.

New comment by perone in "Show HN: VectorVFS, your filesystem as a vector database"

perone — Mon, 05 May 2025 17:39:58 +0000

I'm planning to support MacOS, the only issue is with the encoders that I'm using now, I will probably work more on it next week to try to make a release that works on MacOS as well. Thanks !

New comment by perone in "Show HN: VectorVFS, your filesystem as a vector database"

perone — Mon, 05 May 2025 17:39:20 +0000

Hi, there are no LLMs involved, it is all local and an embedding (vector representation) of the data is created and then that is used for search later, nothing is sent to cloud from your files and there are no local LLMs running as well, only the encoders (I use the Perception Encoder from Meta released a few weeks ago).

New comment by perone in "Show HN: VectorVFS, your filesystem as a vector database"

perone — Mon, 05 May 2025 17:38:12 +0000

This is quite different than LanceDB. In VectorVFS I'm using the inodes directly to store the embeddings, there is no external file with metadata and db, the db is your filesystem itself, that's the key difference.

New comment by perone in "Show HN: VectorVFS, your filesystem as a vector database"

perone — Mon, 05 May 2025 17:36:02 +0000

Hi, I think Rust won't bring much benefit here to be honest, the bottleneck is mainly the model and model loading. It would probably be a nightmare to load these models from Rust, I would have to use torch bindings and then convert everything from the preprocessing already in Python to Rust.

New comment by perone in "Show HN: VectorVFS, your filesystem as a vector database"

perone — Mon, 05 May 2025 17:34:30 +0000

Hi, not sure if I understood what you meant by opaque embeddings as well, but the reason why files surface or not is due to the similarity score (which is basically the dot product of embeddings).

New comment by perone in "Show HN: VectorVFS, your filesystem as a vector database"

perone — Mon, 05 May 2025 17:20:00 +0000

Hi, it is quite different, there is no LLM involved, we can certainly use it for a RAG for example, but what is currently implemented is basically a way to generate embeddings (vector representation) which are then used for search later, it is all offline and local (no data is ever sent to cloud from your files).

New comment by perone in "Show HN: VectorVFS, your filesystem as a vector database"

perone — Mon, 05 May 2025 15:48:19 +0000

Thanks, I'm working on implementing the commands to clean the embeddings (you can now do that with Linux xattr command-line tool). I'm supporting CPU or GPU (NVIDIA) for the encoders and it only supports Linux at the moment.

New comment by perone in "Show HN: VectorVFS, your filesystem as a vector database"

perone — Mon, 05 May 2025 15:40:16 +0000

Thanks. There is a bit of a nuance there, for example: you can build an index in first pass which will indeed be linear, but then later keep it in an open prompt for subsequent queries, I'm planning to implement that mode soon. But agree, it is not intended to search 10 million files, but you seldom have this use case in local use anyways.

Show HN: VectorVFS, your filesystem as a vector database

perone — Mon, 05 May 2025 15:17:33 +0000

Article URL: https://vectorvfs.readthedocs.io/en/latest/

Comments URL: https://news.ycombinator.com/item?id=43896011

Points: 279

# Comments: 138

Notes on Gilbert Simondon's "On the Mode of Existence of Technical Objects"

perone — Thu, 09 Jan 2025 16:08:47 +0000

Article URL: https://blog.christianperone.com/2025/01/notes-on-gilbert-simondons-on-the-mode-of-existence-of-technical-objects-and-artificial-intelligence/

Comments URL: https://news.ycombinator.com/item?id=42646979

Points: 2

# Comments: 0

New comment by perone in "The geometry of data: the missing metric tensor and the Stein score [Part II]"

perone — Thu, 14 Nov 2024 13:18:28 +0000

I'm not sure I agree about the data manifolds being too rigid. When we look at the quality score-based generative models and diffusion we can see a clear evidence of how flexible these representations are. We could say the same about statistical manifolds, but the fact that the Fisher is the fundamental metric tensor for the statistical manifold is a fundamental piece of many 1st and 2nd order optimizers today.

The geometry of data: the missing metric tensor and the Stein score [Part II]

perone — Thu, 14 Nov 2024 11:49:23 +0000

Article URL: https://blog.christianperone.com/2024/11/the-geometry-of-data-part-ii/

Hacker News: perone

Show HN: Pandora M1, a distributed GPU monitor prototype

Show HN: Pandora M1, a distributed training GPU monitor box

Systems that no one will test

Where the wild Discovery Loops are

Gemma3n architecture: a short guide [slides]

Diffusion Elites: surprisingly good, simple and embarrassingly parallel

New comment by perone in "Show HN: VectorVFS, your filesystem as a vector database"

New comment by perone in "Show HN: VectorVFS, your filesystem as a vector database"

New comment by perone in "Show HN: VectorVFS, your filesystem as a vector database"

New comment by perone in "Show HN: VectorVFS, your filesystem as a vector database"

New comment by perone in "Show HN: VectorVFS, your filesystem as a vector database"

New comment by perone in "Show HN: VectorVFS, your filesystem as a vector database"

New comment by perone in "Show HN: VectorVFS, your filesystem as a vector database"

New comment by perone in "Show HN: VectorVFS, your filesystem as a vector database"

New comment by perone in "Show HN: VectorVFS, your filesystem as a vector database"

Show HN: VectorVFS, your filesystem as a vector database

Notes on Gilbert Simondon's "On the Mode of Existence of Technical Objects"

New comment by perone in "The geometry of data: the missing metric tensor and the Stein score [Part II]"

The geometry of data: the missing metric tensor and the Stein score [Part II]

Memory-Mapped CPU Tensor Between Torch, NumPy, Jax and TensorFlow