Bodo.ai, an open source start-up dedicated to transformative Python, has released its high performance computing (HPC) engine for Python under the Apache License.
The need to process ever-larger amounts of data with higher precision, faster speeds, lower costs, and a smaller carbon footprint has grown exponentially. Bodo.ai addresses these challenges by open-sourcing its compute engine—powered by an auto-parallelizing compiler that accelerates popular packages like Pandas and Numpy and includes I/O ability to interact with Iceberg—that offers developers a powerful new tool for data processing and AI.
Key Benefits of the Bodo Compute Engine:
- Developer Productivity: By eliminating the need for code rewrites and enabling real-time execution, developers can build more complex applications in shorter time frames.
- Cloud Applications: Linear scaling and real-time performance empower applications requiring smart, real-time decision-making.
- Infrastructure Efficiency: The engine’s efficient HPC architecture significantly reduces costs, making compute- and data-intensive applications more economical.
Revolutionizing Enterprise Data and AI with HPC Techniques
Application development in HPC has traditionally been worlds apart from mainstream enterprise data systems. HPC development often relies on low-level languages like FORTRAN or C++ and explicit parallelism through tools like MPI. While this approach delivers extreme speed and scalability on massive supercomputers, it demands a highly specialized workforce and years of development time.
Conversely, enterprise data scientists typically use languages like Python which are easier to use. Bodo bridges this gap with a novel compiler that allows data scientists and developers to execute Python workloads on any compute platform—whether public or private cloud—with HPC-grade performance and scalability, all without requiring code rewrites. Unlike conventional tools like Spark, Dask, or Ray, Bodo combines ease of use with the power of HPC.
Also Read: CoreWeave Partners with IBM to Deliver New AI Supercomputer for IBM Granite Models
Speeds Up, Costs Down
Early adopters have seen remarkable results:
- AI and Machine Learning: Up to 250x faster processing, dramatically reducing time to deployment.
- Data Engineering: Streamlined ETL processes, boosting efficiency by over 80%.
- Cost Optimization: Infrastructure expenses reduced by up to 50%, enabling teams to achieve more with fewer resources.
“After years of developing the core technology, we’re thrilled to make our HPC and compiler-based compute engine available to developers everywhere,” said Ehsan Totoni, CTO and co-founder of Bodo.ai. “We look forward to collaborating with the open-source community to drive innovation in scalable, efficient data processing for analytics and AI.”
Source: Businesswire
