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.

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.
With the latest #TornadoVM version you can accelerate end-to-end Apache #Flink pipelines on the GPUs with native #LLM inference. No Python, no external APIs, all in one deployable jar!
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?...
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!
Java 27 arrived yesterday! And we are compatible since Day-0!
#opensource #Java #TornadoVM #GPU
#TornadoVM aka #JVM on #GPU is moving fast!