Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
Mars-LM is an open-source large language model framework designed for distributed training and inference of AI models. It enables efficient handling of massive datasets and supports tensor-based computations for deep learning and NLP tasks.
Features of Mars-LM:
Show the rest of the publisher’s description (14 more lines)
- Supports scalable and distributed model training across multiple nodes.
- Optimized for tensor-based computations for high-performance AI applications.
- Provides Python APIs for easy integration with NLP and machine learning pipelines.
- Includes serialization and distributed computing utilities for handling large-scale datasets.
- Compatible with GPU acceleration for faster training and inference.
Mars-LM Usage :
$ sudo su
$ cd /opt/mars-lm
$ source venv310/bin/activate
$ python
Inside shell:
>>> import mars
>>> print("Mars imported OK")
Disclaimer: Mars-LM is an open-source research framework. It is provided “as is,” without any warranty. Users are responsible for proper setup, dataset usage, and adherence to licensing terms.
Agent build and provenance
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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
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