New Blog Post How to configure TornadoInsight v1.4.2 and use it with TornadoVM SDK v2.0+ ✅ Setup steps ✅ Runtime + performance insights ✅ Tested on Linux/macOS/Windows 👉 www.tornadovm.org/post/tornado... #opensource #TornadoVM #Java #GPU @intellijidea.com @aero-project.eu

🎄 Season’s greetings from TornadoVM! Thank you to our contributors and community for another year of collaboration - and for helping us reach 10k commits along the way. Wishing you a Merry Christmas and a Happy New Year ✨

TornadoVM SDKs are now available via SDKMAN! 👉Easier installation & version management 📝 Blog: www.tornadovm.org/post/getting... Install it now: sdkman.io/sdks/tornado... #opensource #Java #TornadoVM #AI #GPU

New blog post: TornadoVM SDK Quick Start (2.0+) Learn: • How to install TornadoVM SDK on Linux, macOS & Windows • How to run tornado --devices • How to use TornadoVM with Maven 👉 www.tornadovm.org/post/getting... #opensource #Java #TornadoVM #GPUs

My talk at #OCX2026 is accepted! I’ll share the journey of @tornadovm.org - from PhD research to a production-ready #OpenSource framework enabling #GPU acceleration and #AI in #Java, with impact in #EUResearch and @aero-project.eu. www.ocxconf.org/event/2026/ #horizoneurope #UKRI

The new #GPULlama3.java release showcases results from our EU-funded project, integrating @quarkus.io + @tornadovm.org to enable #GPU-accelerated #LLM inference in #Java! 🌐 gpullama3.dev 🔗 github.com/beehive-lab/... #horizoneurope #opensource #AI

New release of #GPULlama3.java v0.3.0 🚀 Faster NVIDIA inference & pure Java GPU demo (@quarkus.io + @langchain4j.dev, no native dependencies). Learn more: gpullama3.dev GitHub: github.com/beehive-lab/... A great achievement from our team! #opensource #Java #AI #LLM #GPU #TornadoVM

🚀 gpullama3.java v0.3.0 is out! Faster FP16 & Q8 inference on NVIDIA GPUs, smoother setup with the new TornadoVM SDKs and seamless Quarkus integration. Also, here is a demo of @quarkus.io + @langchain4j.dev running GPU inference on NVIDIA through @tornadovm.org fully in Java, no native deps!

Another major release for #TornadoVM focused on developer productivity for #AI execution in #Java Congratulations to the whole team!

Docker images now available for TornadoVM v2.0.0! See here how to run: 👉https://github.com/beehive-lab/docker-tornadovm These images support #NVIDIA #GPUs or #Intel #GPUs, making it easier than ever to get started with heterogeneous computing using #TornadoVM. #containers #Java #acceleration

TornadoVM 2.0.0 release is out! Major upgrades for performance, portability & user experience! 🚀 🔗 github.com/beehive-lab/... Thanks to all our contributors 👏 #opensource #AI #LLM #Java #TornadoVM

At the @devoxx.com and #JFall conferences, I interviewed speakers and attendees for the @foojay.io #Podcast. In part 1, you'll learn more about ongoing #OpenJDK projects and #TornadoVM. Watch on YouTube or listen in your favorite podcast app: www.youtube.com/watch?v=Srxy...

Thanks Frank Delporte for the wonderful interview and the opportunity to discuss @tornadovm.org and its #AI capabilities in accelerating #Java programs on #GPUs. If you are interested in GPU-accelerated AI inference in pure Java, check the interview below and www.tornadovm.org/gpullama3

Thrilled to announce I’ll be speaking at #VoxxedDays Ticino on Feb 6th, joining such a great speaker lineup! 🇨🇭 I’ll share what’s new in #TornadoVM and #GPULlama3.java! 🔗 vdt26.voxxeddays.ch/talk/?id=3794 #Java #GPUs #AI #opensource @aero-project.eu

GitHub link: github.com/beehive-lab/... JetBrains link: plugins.jetbrains.com/plugin/23309...

Last week I presented at #MPLR2025 our work on #TornadoInsight - an #opensource tool for static & dynamic analysis of #Java code using #TornadoVM on #GPUs. The presentation is on YouTube: 🎥 Talk: youtube.com/live/sJZtDHw... The tool is available on GitHub & JetBrains Marketplace!

Congratulations to @mikepapadim.bsky.social for presenting the #TornadoViz tool at #MPLR2025! It is an #opensource visualisation tool for the #TornadoVM Bytecodes that orchestrate the data transfers, execution, etc. of complex workloads. Paper: zenodo.org/records/1695... #horizoneurope #ukri

Our colleague from @manchester.ac.uk, @stratika.bsky.social presented their work on #TornadoInsight, a plugin for @intellijidea.com that provides static and dynamic of #Java classes that use the #TornadoVM API! #horizoneurope #opensource

🧩 #MPLR2025: #TornadoInsight - #IntelliJ plugin for #TornadoVM. Detects incompatible #Java constructs & offers instant feedback for accelerator programming. 📄 zenodo.org/records/1695... Repository: github.com/beehive-lab/... JetBrains Marketplace: plugins.jetbrains.com/plugin/23309...

📊 #MPLR2025: #TornadoViz - visual analytics for #TornadoVM. Explore task dependencies, memory ops & #performance across CPUs/#GPUs interactively. 📄 zenodo.org/records/1695... Repository: github.com/beehive-lab/...

Next week at #MPLR2025 & #VMIL2025 in Singapore! We are excited to share that our partners from @manchester.ac.uk University of Crete and #RedHat are presenting 4 #research outcomes on #Java, #TornadoVM, #GC and #tools. #horizoneurope @hipeac.bsky.social @eucloudedgeiot.bsky.social 👇

In less than two hours @mikepapadim.bsky.social will demo state-of-the-art native #Java #AI inference on GPUs at @devoxx.com Based on @tornadovm.org and the @graalvm.org compiler, 𝗚𝗣𝗨𝗟𝗹𝗮𝗺𝗮𝟯.𝗷𝗮𝘃𝗮 enables GPU inference of LLM models with high performance and integration with @langchain4j.dev!

The #TornadoVM team at #Devoxx! Credits to Dimitris Doutsiopoulos for this amazing capture!

The #TornadoVM deep dive session is live on YouTube! 👉 youtu.be/WNQ5ylMs4Ok?... Next up: GPULlama3.java at #Devoxx with live coding demo showing Java-native GPU acceleration! - 🗓 Tomorrow (Oct 9) | 🕔 17:40–18:30 | 📍 Room 6 Don’t miss it! #opensource #Java #AI #GPU

Project Panama is a key component for transitioning #Java into the #AI era! @tornadovm.org has been among the early adopters of Panama. Thanks @nipafx.dev for the excellent talk @devoxx.com and the shoutout!

Behind the cameras! @kotselidis.net and @mikepapadim.bsky.social discussing with @frankdelporte.be about our technology at #Devoxx and how it can be used for fast #AI in #Java! The video is coming soon… @devoxx.com

The #TornadoVM team from the University of Manchester is at @devoxx.com Belgium! Don’t miss it, join them to learn more about #Java #GPU acceleration and the work done in the context of our project for the #EU hardware ecosystem! #opensource

Yesterday at the #TornadoVM deep dive, we presented #TornadoInsight - an #opensource IntelliJ plugin that helps devs learn the TornadoVM API via static analysis & dynamic inspection. Extended in the P2Code project and coming to #MPLR2025 next week! #Devoxx youtu.be/WNQ5ylMs4Ok?...

Good morning from #Devoxx Belgium and the @tornadovm.org team! Our #TornadoVM deep dive talk is today at 13.30 in Room 4. #opensource #Java #AI #GPU

GPULlama3.java our first GPU-accelerated Java-native LLM inference engine with #TornadoVM has officially been integrated to LangChain4J! Congratulations to the whole team for this achievement! Next week @devoxx.com we will showcase our demos as well as provide a deep dive on @tornadovm.org!

Java + GPUs + AI = TornadoVM We’re speaking at #Devoxx 2025! I will be there along with @mikepapadim.bsky.social @maryxek.bsky.social and @kotselidis.net for a deep dive on #TornadoVM! 📅 Oct 6 | 13:30–16:30 | Rm 4 @eucloudedgeiot.bsky.social @aero-project.eu #Java #AI #GPU #opensource

TornadoVM Deep Dive This session will explore how @tornadovm.org extends GraalVM to unlock GPU acceleration, covering parallelism, integration with existing tooling, and a live demo optimizing an LLM pipeline. m.devoxx.com/events/dvbe2...

Docker images of GPULlama3.java v0.2.0 for NVIDIA #GPUs are now ready in DockerHub! OpenCL image: hub.docker.com/r/beehivelab... PTX image: hub.docker.com/r/beehivelab...

Checkout the latest podcast from @mikepapadim.bsky.social on GPULlama3.java; our latest #Java #AI inference framework accelerated with @tornadovm.org!

New #GPULlama3.java release, bringing expanded model support, cross-platform GPU inference, and upcoming #LangChain4j integration. Demo is preparing for @devoxx.com: lnkd.in/dfbV_tSU Checkout the release 👉 github.com/beehive-lab/... #opensource #Java #AI #TornadoVM @aero-project.eu

⚡ Hackernews Top story: GPU-accelerated Llama3.java inference in pure Java using TornadoVM

A deep dive talk about #TornadoVM, an #opensource #Java technology for hardware acceleration will be part of the @devoxx.com program! #DevoxxBE Join us to learn more about the technology! And do not miss, a 2nd talk on how TornadoVM can offer GPU-accelerated inference in Java! 🚀

Super excited to give a deep dive talk on @devoxx.com 2025! We will give a deep dive presentation on the internals of @tornadovm.org and explain how #Java developers can harness the power of #GPUs! See you all in Belgium at fall!

Docker images now available for TornadoVM v1.1.1! See here how to run: 👉https://github.com/beehive-lab/docker-tornadovm These images support #NVIDIA #GPUs or #Intel #GPUs, making it easier than ever to get started with heterogeneous computing using #TornadoVM. #containers #Java #acceleration

New TornadoVM release v1.1.1! Packed with new features and optimizations that unlock GPU acceleration for Llama3 in pure Java! 🧬JIT-compiled kernels for high performance. 👏 Thanks to our amazing contributors. 👉 github.com/beehive-lab/... #opensource #AI #LLM #Java #TornadoVM

A great milestone achieved by our team. Just released #GPULlama3.java, the first Java implementation of Llama3 inference accelerated on GPUs via #TornadoVM. GitHub v0.1.0-beta: github.com/beehive-lab/... Looking forward to your feedback. #opensource #Java #AI #LLM #GPUs

Very proud of this work! At the 30th anniversary of our beloved #Java we release the first Llama 3 inference engine written in pure Java and accelerated on GPUs with TornadoVM! Super excited to be part of Java’s transition into the #AI world!

We are in the #RISCVSummitEurope hosted in Paris, presenting the work fostered in our project from the University of Manchester and @codeplaysoftware.bsky.social for accelerating #Java workloads on #RISCV with autovectorization. 🚀 #TornadoVM and #oneAPIConstructionKit are #opensource!

TornadoInsight v1.2.5 is out! Now fully compatible with #IntelliJ 2024.3.5! Ready to supercharge #Java development on #GPUs with #TornadoVM. 🔗 JetBrains Marketplace: plugins.jetbrains.com/plugin/23309... 🔗 GitHub: github.com/beehive-lab/... This work has been developed in the P2Code project.

We'll be at #RISCVSummit Europe (May 12–15) presenting our work on accelerating #Java on #RISCV with #vectorization extensions, via @tornadovm.org and #OCK. A collaboration between University of Manchester & @codeplaysoftware.bsky.social as part of @aero-project.eu #opensource #RISCVeverywhere

As part of our ongoing work, we’re proud to support advancements in #Java acceleration on #RISCV processors using vectorization extensions. 📍 Join us at RISC-V Summit Europe (May 12–15) to learn more about our progress. 📄 Preprint: pure.manchester.ac.uk/ws/portalfil... #opensource #software

New release #TornadoVM v1.1.0 is out! Key highlights: ✅ Mixed precision computations (FP16 to FP32) ✅ New memory and buffer management features (persist & reuse data) 🔗https://github.com/beehive-lab/TornadoVM/releases/tag/v1.1.0 Thanks to all contributors! #opensource #Java #AI

Our last paper is accepted at the #RISCV Summit Europe 2025! We evaluated Java parallel workloads expressed with #TornadoVM on real RISC-V CPUs using vector instructions generated by the oneAPI Construction Kit. How cool is this? Pre-print coming soon!

Last week @kotselidis.net and myself presented the work we are doing to run and optimise Java/ #TornadoVM applications for RISC-V hardware accelerators in the #RISCV J-Group. See the slides: github.com/jjfumero/jjf... If you are interested in the topic, stay tune!

🚀 Our first YouTube video is live! Watch how #Mandrel, #TornadoVM, and #oneAPI Construction Kit accelerate #Java performance on ARM #CPUs & NVIDIA #GPUs. 🔥 🎬 youtu.be/lb6nlziiyEs?... Credits to our partners: University of Manchester, Red Hat, Codeplay 👏 #opensource #acceleration #horizoneurope