Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
ColossalAI is an open-source deep learning framework built on PyTorch for efficiently training, optimizing, and deploying large-scale artificial intelligence and machine learning models. It provides advanced distributed training, memory optimization, and parallel computing capabilities for developing high-performance AI applications on CPUs and GPUs.
Features of ColossalAI:
Show the rest of the publisher’s description (12 more lines)
- Train and optimize large-scale deep learning models with minimal code changes.
- Built on PyTorch with seamless integration into existing machine learning workflows.
- Supports distributed training across single-node and multi-node environments.
- Provides memory optimization techniques for efficient large model training.
- Supports data, tensor, pipeline, and sequence parallelism for scalable AI workloads.
To verify the working of ColossalAI in your shell:
$ sudo su
$ apt update
$ cd /opt/colossalai
$ source venv/bin/activate
$ python -c "import colossalai; print(colossalai.__version__)"
Disclaimer: ColossalAI is an open-source software distributed under the Apache 2.0 License. It is not affiliated with, endorsed by, or sponsored by any other company. ColossalAI is provided "as is," without any warranty, express or implied. Users utilize this software at their own risk. The developers and contributors to ColossalAI are not responsible for any damages, losses, or consequences resulting from the use of this software. Users are encouraged to review and comply with the licensing terms and any applicable regulations when using ColossalAI.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.