Yesterday my colleagues @maryxek.bsky.social and @mikepapadim.bsky.social showed live demos about using NVIDIA cuFFT and cuBLAS with @tornadovm.org for signal filtering and @jitllm.io! NVIDIA performance is a jar away from Java. #Java #CUDA #TornadoVM

TornadoVM@tornadovm.org · 5d ago

Optimized GPU libraries (e.g. cuBLAS, cuDNN, etc.) by NVIDIA, now one jar away for your Java - without caring about JNI. We also show demos with Apache Flink and @jitllm.io. Watch our talk in @devoxx.com 👇 youtu.be/6SPnBmQrYEk?... #opensource #AI #TornadoVM #Java #GPU

Optimized GPU libraries (e.g. cuBLAS, cuDNN, etc.) by NVIDIA, now one jar away for your Java - without caring about JNI. We also show demos with Apache Flink and @jitllm.io. Watch our talk in @devoxx.com 👇 youtu.be/6SPnBmQrYEk?... #opensource #AI #TornadoVM #Java #GPU

Tap into the NVIDIA Ecosystem from Java with TornadoVM's Hybrid API by Thanos Stratikopoulos, Micha

YouTube video by Devoxx

youtu.be

We are at @devoxx.com, getting ready for our first hands-on #GPU lab for #Java! We will be in BOF2 room at 16:50, with live demos! @tornadovm.org @jitllm.io

jitLLM is part of the @langchain4j.dev 1.21.0 release! 🚀 Read more here: docs.langchain4j.dev/integrations... #opensource #LLM #GPU #Java #LangChain4j #Inference

LangChain4j@langchain4j.dev · last wk.

#LangChain4j 1.21.0 is out! 🚀 Meet Decision Models: instant yes/no, choice and scale answers with probabilities. Decision Services turn any Java interface into a classifier. Plus model routing, re-ranking, tool selection, guardrails and agentic routing! github.com/langchain4j/...

Our latest addition to the TornadoVM family. Blazing fast AI inference at native speed!

jitLLM@jitllm.io · 2w ago

Can Java compete with llama.cpp/ollama? YES! With @jitllm.io! jitLLM uses NVIDIA CUDA features and libraries (cuBLAS, cuDNN) and reaches 0.90× to 1.12× of llama.cpp's throughput! jitLLM is empowered by @tornadovm.org and will be soon in @langchain4j.dev and @quarkus.io. github.com/beehive-lab/...

Can Java compete with llama.cpp/ollama? YES! With @jitllm.io! jitLLM uses NVIDIA CUDA features and libraries (cuBLAS, cuDNN) and reaches 0.90× to 1.12× of llama.cpp's throughput! jitLLM is empowered by @tornadovm.org and will be soon in @langchain4j.dev and @quarkus.io. github.com/beehive-lab/...

Next week we will be in @devoxx.com and speak about @tornadovm.org, @jitllm.io and how we accelerate Java on GPUs, using #NVIDIA native libraries! Come and talk to us, to learn more! #opensource #Java #AI #TornadoVM #jitLLM #GPU