MImikepapadim·Oct 24, 2026
https://github.com/beehive-lab/TornadoVM this is main repo.
You can use it with any JDK21+ and Nvidia or Apple hardware and their Nvidia libs or MLX libs.
In TornadoVM 7 Enables GPU-Native Workloads from Java Applicationsbeehive-lab
TornadoVM
Java2020–2026
beehive-lab / TornadoVM
TornadoVM
Write Java. Run on GPUs. Fast.
12Distinct people
21Mentions
0Explicit recommenders
1.6KGitHub stars
What to know before exploring
What it is
Write Java. Run on GPUs. Fast.
GitHub
Where it is used
No documented product use was verified in the last source check.
What people are saying
No recommendation phrase was found in the indexed comments.
No classified warning is attached to this page. Read the discussions before treating silence as approval.
Also in these discussions
- beehive-lab/jitllm · linked in 2 of the same discussions
- mukel/gemma4.java · linked in 2 of the same discussions
- mukel/llama3.java · linked in 2 of the same discussions
Mentioned in the same Hacker News threads. That is not proof they are substitutes.
This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by year21 dated mentions
Observed mentions: 2020-03-09 20:55:36 UTC to 2026-10-24 15:16:17 UTC.
* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 1 | 1 | 0 |
| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 3 | 1 | 2 |
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 3 | 2 | 1 |
| 2024 | 2024-01-01 00:00:00 UTC | 2025-01-01 00:00:00 UTC | 2 | 2 | 0 |
| 2025 | 2025-01-01 00:00:00 UTC | 2026-01-01 00:00:00 UTC | 5 | 2 | 3 |
| 2026 (partial) | 2026-01-01 00:00:00 UTC | 2027-01-01 00:00:00 UTC | 6 | 3 | 3 |
What Hacker News says
21 sourcesCUDA Tile (cuTile) first working port in Java
1 points · Open discussion- [Llama3.java] https://github.com/mukel/llama3.java
- [Gemma4.java] https://github.com/mukel/gemma4.java
- [Jlama] https://github.com/tjake/Jlama
- [GPULlama3.java https://github.com/beehive-lab/GPULlama3.java
- [Qxotic] https://github.com/qxoticai/qxotic
- [TornadoVM]https://github.com/beehive-lab/TornadoVM
In 5 Open-Source Projects Running Transformers on CPUs to GPUs in Pure-Modern Java- [Llama3.java](https://github.com/mukel/llama3.java)
- [Gemma4.java](https://github.com/mukel/gemma4.java)
- [Jlama](https://github.com/tjake/Jlama)
- [GPULlama3.java](https://github.com/beehive-lab/GPULlama3.java)
- [Qxotic](https://github.com/qxoticai/qxotic)
- [TornadoVM](https://github.com/beehive-lab/TornadoVM)
In 5 Open-Source Projects Running Transformers on CPUs to GPUs in Pure-Modern JavaJava Running Directly on Apple Silicon GPUs with TornadoVM Metal Codegen
3 points · Open discussionTornadoVM GitHub has no mentions of tensor cores or WMMA instructions. The only mention of tensor cores is in 2024 and states they are not used: https://github.com/beehive-lab/TornadoVM/discussions/393
In Show HN: GPULlama3.java Llama Compilied to PTX/OpenCL Now Integrated in QuarkusShow HN: GPULlama3.java Llama Compilied to PTX/OpenCL Now Integrated in Quarkus
wget https://github.com/beehive-lab/TornadoVM/releases/download/v...
unzip tornadovm-2.1.0-opencl-linux-amd64.zip
# Replace <path-to-sdk> manually with the absolute path of the extracted folder
export TORNADO_SDK="<path-to-sdk>/tornadovm-2.1.0-opencl"
export PATH=$TORNADO_SDK/bin:$PATH
tornado --devices
tornado --version
# Navigate to the project directory
cd GPULlama3.java
# Source the project-specific environment paths -> this will ensure the
source set_paths
# Build the project using Maven (skip tests for faster build)
# mvn clean package -DskipTests or just make
make
# Run the model (make sure you have downloaded the model file first - see below)
./llama-tornado --gpu --verbose-init --opencl --model beehive-llama-3.2-1b-instruct-fp16.gguf --prompt "tell me a joke"
24 points · Open discussionTornadoVM v2.0.0 release with lots of improvements for Java on GPUs
4 points · Open discussionJava VectorAPI compatiblity with TornadoVM GPU programming framework
2 points · Open discussionJava GPU pre/post processing with ONNX RT and TornadoVM
14 points · Open discussionTornadoVM can be used with the GraalVM Truffle Polyglot API to invoke TaskGraphs from guest programming languages such as Python, Ruby, etc. This blog aims to showcase how to execute TornadoVM code that is offloaded on a GPU through code written in Python, JavaScript, and Ruby.
https://www.tornadovm.org/post/hardware-acceleration-for-pol...
https://github.com/beehive-lab/TornadoVM
In GPU Acceleration for Python, JavaScript, Ruby from Java with TruffleShowing the 15 most recent of 21 sources. Enable JavaScript to search and browse every indexed mention.