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[Roadmap] Q2 2024
This issue outlines the major items planned for Q2 2024. Note that it doesn't include bug fixes, except for major issues.
[!NOTE] Bold means priority.
Core features
- [x] Multi-node support https://github.com/dstackai/dstack/pull/1103
- [x] Parity YAML and CLI https://github.com/dstackai/dstack/pull/943 #1011
- [x] More granular permissions #1101 #1138
- [x] Support for baremetals https://github.com/dstackai/dstack/pull/1115 https://github.com/dstackai/dstack/pull/1189
- [ ] Allow attaching volumes https://github.com/dstackai/dstack/issues/1158
- [ ] Support private subnets #1201 #1171
- [ ] Allow instance reuse by other users https://github.com/dstackai/dstack/issues/896
- [ ] Scheduling tasks via CRON
- [ ] Make sure retry policy works for all types of instances #1200
New providers
- [ ] RunPod https://github.com/dstackai/dstack/pull/1063 https://github.com/dstackai/dstack/issues/1137
- [ ] Oracle #1194
- [ ] Alibaba Cloud
Provider improvements
- [x] A10 support in Azure https://github.com/dstackai/dstack/issues/1014
- [ ] H100 support in Azure
- [ ] H100 support in AWS
- [ ] H100 support in GCP
- [ ] L4 support in AWS
- [ ] Reserved instances in AWS https://github.com/dstackai/dstack/issues/1155
- [ ] Reserved instances in GCP
- [ ] Reserved instances in Azure
- [ ] Spot instances in TensorDock
- [ ] Spot instances in Vast.ai
- [ ] Spot instances in RunPod
Architecture
- [ ] TPU https://github.com/dstackai/dstack/issues/956
- [ ] Intel Gaudi
- [ ] Intel GPU
- [ ] AMD GPU
- [ ] AWS Inferentia
- [ ] AWS Trainium
Examples
[!IMPORTANT] Community help is needed!
- [x] H4 Alignment Handbook https://github.com/dstackai/dstack/pull/1180
- [x] Axolotl https://github.com/dstackai/dstack/pull/1187
- [ ] TensorRT-LLM
- [ ] Triton
- [ ] Function calling
- [ ] Mixtral 8x22
- [ ] Cog
Documentation
- [ ] Improvements based on the feedback
- [ ] Troubleshooting
- [x] Best practices
[!IMPORTANT] If you notice something important missing here, please write about it in the comments.