Release Notes - v1.35
Highlights
New Table Creation Workflow
The new workflow significantly simplifies connecting and adding new tables to Kumo after the connector is set up.
- Workflow condensed to a single step
- Table types (i.e., fact/dimension tables) are automatically assigned
PyTorch 2.3 and torch.compile Efficiency Improvements
Kumo now leverages the latest version of PyTorch. This enables model compilation for faster GNNs through iust-in-time (JIT)-compilation into optimized kernels. In particular, this means:
- Kumo GNNs come with less Python overheads and utilize less GPU read/writes
- Subsequent model operations are fused into dynamic and single GPU kernels
- 20% to 30% training time reductions with model compilation enabled
Other Updates
- EMR on EKS in default mode for IAC2
- Documentation updates - restructured for clarity and added more examples
Updated 6 months ago