Evidence tier Source Confirmed · 8 captures on record
What the publisher says
As described on Microsoft Marketplace.
Jittor is an open-source, high-performance deep learning framework developed for efficient neural network training and research. It supports dynamic computation graphs, CPU and GPU computation, and is designed for flexibility and speed, making it suitable for AI research, experimentation, and production environments.
Features of Jittor:
Show the rest of the publisher’s description (15 more lines)
- High-performance deep learning with support for both CPU and GPU.
- Dynamic computation graphs, allowing flexible model design similar to PyTorch.
- Automatic kernel compilation for optimized execution on target hardware.
- Support for advanced AI applications like computer vision, NLP, and generative models.
- Python-friendly API for easy integration into research and production projects.
- Lightweight and optimized for speed and memory efficiency.
- Open-source, allowing customization, experimentation, and community contributions.
- Interoperability with PyTorch, enabling easy migration and hybrid workflows.
Usage Instruction:
Activate Virtual Environment:
$ sudo su
$cd /root/jittor
$ source jittor-env/bin/activate
Verify Jittor installed Verson: $ pip show jittor
Disclaimer: Jittor is an open-source software distributed under the MIT License. It is not affiliated with, endorsed by, or sponsored by any other company. Jittor is provided "as is," without any warranty, express or implied. Users utilize this software at their own risk. The developers and contributors to Jittor are not responsible for any damages, losses, or consequences resulting from the use of this software. Users are encouraged to review and comply with licensing terms and any applicable regulations when using Jittor.
Agent build and provenance
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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.