In person Rust June 2025 at AWS in Tel Aviv

2025.06.08 In person Rust June 2025 at AWS in Tel Aviv

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In between the full-length presentations we'll have a few spots for lightning talks.

Presentations

Power up NodeJS with Rust (Hebrew)

Length: 40 min

How rust can help to improve performance inside NodeJS/TS ecosystem.

  • Presentation of napi-rs.
  • Use case.
  • Integration of rust inside a NestJS project.
  • Benchmark and performance comparison.

Speakers


From TensorFlow to PyTorch with some help from Rust (Hebrew)

Length: 40 min

When moving a machine learning project from TensorFlow to PyTorch, we wanted to keep using our existing training data files that were in the TFRecord format. Unfortunately, there was no good method of reading this format from PyTorch without adding TensorFlow as a dependency, and even that caused performance problems.

To address this, I wrote rustfrecord, a Python package written in Rust with the help of PyO3, and published to PyPI using Maturin.

In the talk I'll discuss the problem, the solution, and what can be learned from this for other projects.

Speakers


register

To copy to Meetup

Title: In person Rust June 2025 at AWS in Tel Aviv

Date: 2025.06.08

Start: 18:00

In between the full-length presentations we'll have a few spots for lightning talks.

* Power up NodeJS with Rust by Ariel Boukris

Language: (Hebrew)

Length: 40 min

How rust can help to improve performance inside NodeJS/TS ecosystem.

  • Presentation of napi-rs.
  • Use case.
  • Integration of rust inside a NestJS project.
  • Benchmark and performance comparison.

* From TensorFlow to PyTorch with some help from Rust by Gavrie Philipson

Language: (Hebrew)

Length: 40 min

When moving a machine learning project from TensorFlow to PyTorch, we wanted to keep using our existing training data files that were in the TFRecord format. Unfortunately, there was no good method of reading this format from PyTorch without adding TensorFlow as a dependency, and even that caused performance problems.

To address this, I wrote rustfrecord, a Python package written in Rust with the help of PyO3, and published to PyPI using Maturin.

In the talk I'll discuss the problem, the solution, and what can be learned from this for other projects.