The Python Supercomputing
Analytics Platform
@bodo.jit
def f(file_name):
df = df[df.C.dt.month == 1]
df2 = df.groupby("A")["B", "D"].agg(
lambda S: (S == "ABC").sum()
)
df2.to_parquet("output.pq")The Self-Service Supercomputing Platform
for Data Scientists
A universal Python supercomputing platform for all analytics, ML and AI workloads. It democratizes High Performance Computing (HPC) architecture into mainstream enterprises allowing analytics programs to scale using Python.
No distributed systems or HPC knowledge required
Make your Python code production-ready without any rewrites
Incredible compute speed to help data scientists be even more productive
ALL IN ONE PLACEFully Managed
Fully Managed
System as a Service Platform
Bodo Platform provides a user-friendly interface for your data team. Run a Jupyter Notebook and Job instances with just a few clicks on your own AWS account.
- Manage many Jupyter Notebook instances
- Run multiple Job instances and keep up-to-date with real-time logs
- Manage your data team with assigned permissions
Stop wasting your time
rewriting the code