Published February 3, 2026
| Version v1.1.0
Software
Open
IBM/aihwkit: IBM Analog Hardware Accelerator Kit 1.1.0
Authors/Creators
- Diego M. Rodríguez1
- Malte J. Rasch
- Kaoutar El Maghraoui2
- kkvtran
- pablocarmona
- Fabio Carta
- Ivan Duran3
- Atif Ali4
- Julian Büchel3
- Corey Lammie
- soumyajeet8
- charlesmackin
- Juan Cruz-Benito1
- bobo-nums
- Zacharia5
- Steve Martinelli6
- Ronald Moore7
- Paul Bastide8
- Victoria Clerico9
- Manuel Le Gallo-Bourdeau10
- Malte Rasch
- Jo7701
- Hadjer Benmeziane
- Henry Ye
- GhaziSyed
- Athanasios Vasilopoulos3
- Abinand
- 1. @IBMResearch
- 2. IBM
- 3. IBM Research
- 4. Coder Technologies Inc. @coder
- 5. TU Delft, ESA
- 6. @equinix
- 7. Emory University
- 8. Red Hat
- 9. IBM Research Europe
- 10. @IBM
Description
[1.1.0] - 2026/02/03
Added
- Add newly uploaded resources for CPU-only wheels (#739)
- Add a new drift compensation mechanism which uses an ideal reference readout. In the default global drift compensation mechanism, all non-idealities (as set by the corresponding
rpu_config) are modeled, potentially resulting in sub-optimal drift compensation scales being computed in some scenarios, e.g., where the output noise is sufficiently large. - New example (examples/36_gpt2_on_wikitext.py) to run Distil GPT2 on aihwkit with text prediction. (#754)
Removed/Deprecated
- Function
convert_to_analog_mappedinsrc/aihwkit/nn/conversion.pydeprecated and removed.
Changed
- Replace legacy release-build workflow with the updated build process (#744)
- Point the online demo link to the correct destination (#743)
- Update bundled notebook wheel to the GPU-enabled 1.0.0 release (#741)
- Modifications/Cleanup/Improvements to Time-Stepped Circuit IRDrop example and model implementation (#753)
Fixed
- Fix memory issues and bugs in analog training for CUDA (#732)
- Fix
convert_to_analogfor conv layers (#627)
Files
IBM/aihwkit-v1.1.0.zip
Files
(8.8 MB)
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Additional details
Related works
- Is supplement to
- Software: https://github.com/IBM/aihwkit/tree/v1.1.0 (URL)
Software
- Repository URL
- https://github.com/IBM/aihwkit