Welcome to the Strong Compute Instant Super Computer (ISC) Demos repo.
Before diving into these demos, it is recommended that Strong Compute users complete the Getting Started section of the Developer Docs.
Please note: Some old unmaintained demos have recently been deleted.
The following examples demonstrate use of the ISC for training a variety of models, including how to implement interruptibility in distributed training scripts using checkpointing, atomic saving, and stateful samplers.
These examples are being actively developed to achieve [1] interruptibility in distributed training, [2] verified completion of a full training run, and [3] achievement of benchmark performance published by others (where applicable). Each example published below is annotated with its degree of completion. Examples annotated with [0] are "coming soon".
| Title | Description | Model | Status | Link |
|---|---|---|---|---|
| Fashion MNIST | Image classification | CNN | [3] | isc-demos/fashion_mnist |
| ImageNet | Image classification | ResNet50 | [2] | isc-demos/imagenet-resnet50 |
| DeepSeek | Language Modelling | DeepSeek-R1 | [2] | isc-demos/deepseek |
| Llama | Language Modelling | Llama3.2 | [2] | isc-demos/llama |
(from https://github.com/pytorch/vision/tree/main/references/segmentation)
| Title | Description | Model | Status | Link |
|---|---|---|---|---|
| fcn_resnet101 | Image segmentation | ResNet101 | [2] | isc-demos/tv-segmentation |
| deeplabv3_mobilenet_v3_large | Image segmentation | MobileNetV3 Large | [2] | isc-demos/tv-segmentation |
(from https://github.com/pytorch/vision/tree/main/references/detection)
| Title | Description | Model | Status | Link |
|---|---|---|---|---|
| maskrcnn_resnet101_fpn | Object detection | Mask RCNN (ResNet101 FPN) | [2] | isc-demos/maskrcnn |
| Title | Description | Model | Status | Link |
|---|---|---|---|---|
| DeepSeek | Language Modelling | DeepSeek-R1 | [2] | isc-demos/deepseek |
| Llama | Language Modelling | Llama3.2 | [2] | isc-demos/llama |