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TornadoVM Alternatives
Similar projects and alternatives to TornadoVM
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Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
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Graal
GraalVM compiles Java applications into native executables that start instantly, scale fast, and use fewer compute resources 🚀
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FLiPStackWeekly
FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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ydata-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better TornadoVM alternative or higher similarity.
TornadoVM discussion
TornadoVM reviews and mentions
Posts with mentions or reviews of TornadoVM.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-04-06.
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Latest Java Updates: JDK 25 Features, AI Tools, and More
TornadoVM 1.1.0 has been released, introducing several enhancements, including support for mixed precision computations. Details of this release can be viewed in the release notes. The new method mapOnDeviceMemoryRegion() allows device buffer mapping for various buffers, improving efficiency.
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Intel Gaudi 3 AI Accelerator
You don't need to use C++ to interface with CUDA or even write it.
A while ago NVIDIA and the GraalVM team demoed grCUDA which makes it easy to share memory with CUDA kernels and invoke them from any managed language that runs on GraalVM (which includes JIT compiled Python). Because it's integrated with the compiler the invocation overhead is low:
https://developer.nvidia.com/blog/grcuda-a-polyglot-language...
And TornadoVM lets you write kernels in JVM langs that are compiled through to CUDA:
https://www.tornadovm.org
There are similar technologies for other languages/runtimes too. So I don't think that will cause NVIDIA to lose ground.
- Java VectorAPI compatiblity with TornadoVM GPU programming framework
- Java GPU pre/post processing with ONNX RT and TornadoVM
- FLaNK Stack 05 Feb 2024
- FLaNK 25 December 2023
- GPU Acceleration for Python, JavaScript, Ruby from Java with Truffle
- TornadoVM v1.0 Released
- TornadoVM 1.0
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A note from our sponsor - Stream
getstream.io | 20 Jul 2025
Stats
Basic TornadoVM repo stats
23
1,294
9.8
8 days ago
beehive-lab/TornadoVM is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of TornadoVM is Java.
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Stream - Scalable APIs for Chat, Feeds, Moderation, & Video.
Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
getstream.io