Apache TVM on Ubuntu26
Anarion Technologies · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 8 captures on record
What the publisher says
As described on Microsoft Marketplace.
Apache TVM is a high-performance open-source machine learning compiler stack designed to optimize, compile, and deploy AI models across a wide range of hardware platforms. It enables developers to improve the performance of deep learning workloads while reducing deployment complexity for production environments.
This virtual machine comes pre-installed with Apache TVM 0.23.0 on Ubuntu 26.04 LTS, providing a ready-to-use environment for AI engineers, machine learning developers, researchers, and enterprises. The image includes Python 3.14, LLVM support, essential build tools, and all required dependencies, allowing users to begin developing and optimizing machine learning applications immediately without manual installation.
Show the rest of the publisher’s description (12 more lines)
Apache TVM supports model compilation and optimization for popular machine learning frameworks such as TensorFlow, PyTorch, ONNX, and Apache MXNet. It provides automatic operator tuning, graph optimization, code generation, and hardware-specific optimizations to maximize inference performance across CPUs, GPUs, and other supported accelerators.
This image is configured with Ubuntu 26.04 LTS and the latest available security updates, providing a secure, reliable, and production-ready platform for AI development, research, model optimization, and deployment. Developers can integrate TVM into existing machine learning pipelines while benefiting from its flexible compiler architecture and extensive hardware support.
Key Features
- Apache TVM 0.23.0 pre-installed and configured
- Ubuntu 26.04 LTS production-ready environment
- Python 3.14 with required TVM dependencies
- LLVM-enabled compilation support
- Support for TensorFlow, PyTorch, ONNX, and Apache MXNet models
- Machine learning model optimization and compilation
- Graph optimization and automatic operator tuning
- Ready for AI development, inference, and deployment workloads
Disclaimer: This virtual machine contains free and open-source software. Anarion Technologies does not provide a commercial license for Apache TVM. Apache TVM and all related trademarks are the property of their respective owners. Their use does not imply any affiliation with or endorsement by the respective trademark holders.
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
2 linksLinked 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.

