A high-performance compute engine for Python data processing and AI. Powered by an auto-parallelizing JIT compiler, Bodo transforms Python programs into highly optimized, parallel binaries without requiring code rewrites, which makes Bodo 20x to 240x faster compared to traditional frameworks.
Bodo is a high-performance Python compute engine that brings the performance and scalability of HPC to data processing and AI. Powered by an auto-parallelizing just-in-time (JIT) compiler, Bodo transforms Python programs into highly optimized, parallel binaries without requiring code rewrites - sidestepping the inefficiencies and complexities of traditional frameworks and delivering true HPC-level performance with minimal effort.
Easy scaling. Bodo's inferential compiler analyzes vanilla Python and generates optimized, parallel code for execution on multi-core CPUs and distributed systems without manual intervention. By just adding the @bodo.jit decorator, Python code is parallelized with a single annotation. No need to learn or manage MPI or rewrite code.
Performance and efficiency: Bodo eliminates runtime overheads common in driver-executor models by leveraging Message Passing Interface (MPI) tech for true distributed execution, which makes Bodo 20x to 250x faster compared to Spark, Dask, and Ray/Modin.
Built for compatibility. Bodo accelerates popular libraries like Pandas and Numpy and integrates seamlessly with Iceberg for I/O.
Powered by an auto-parallelizing compiler, Bodo accelerates popular packages like Pandas and Numpy and includes I/O ability to interact with Iceberg - all without requiring code rewrites.
Bodo's efficient HPC architecture bypasses the inefficiencies of traditional distributed frameworks, making it 20x to 250x faster than Spark, Dask, and Ray/Modin.
Create clusters and attach Jupyter notebooks, or schedule jobs for your Python code easily.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
You pay through a single usage-based dimension: Bodo credit consumption. Pricing scales with how much you use, measured in Bodo credits. There are no tiers or fixed instance sizes to choose from. Instead, your cost rises or falls with actual consumption. The platform runs analytics and data workloads across CPUs and GPUs in your own environment. Because billing is metered by credits, you only pay for what you consume, and there is no upfront commitment tied to this dimension.
Top-of-mind questions for buyers
What does one Bodo credit represent, and how is my consumption counted?
A Bodo credit is the unit that meters your platform usage. Your consumption reflects the analytics and data workloads you run across CPUs and GPUs in your environment. Credits accrue based on actual processing, so the more workloads you execute, the more credits you consume. For exact per-workload credit rates, contact the vendor.
Do I get charged when my workloads are idle or not actively running?
Charges follow credit consumption, which is tied to actual workload processing. When you are not running analytics or data jobs, no credits are consumed for that activity. Your cost rises and falls with real usage. Underlying AWS resources in your own environment may still carry separate charges from AWS.
Is this pay-as-you-go, or do I commit to a set amount upfront?
This dimension is usage-based. You pay for the Bodo credits you actually consume, with no fixed instance sizes or tiers to select. There is no upfront commitment tied to this dimension. Your bill scales directly with how much you run.
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