llama.cpp Server
kCloudHub LLC · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 8 captures on record
What the publisher says
As described on Microsoft Marketplace.
llama.cpp Server is a lightweight, high-performance open-source inference server that allows users to run large language models locally on their own systems. Built on top of the llama.cpp project, it provides efficient execution of GGUF-based AI models with CPU and GPU acceleration support, enabling private, fast, and customizable AI deployments without depending on external cloud services.
Features of llama.cpp Server:
Show the rest of the publisher’s description (22 more lines)
- High-performance local inference engine for running large language models.
- Supports GGUF model format for efficient model storage and execution.
- Provides an OpenAI-compatible API for easy application integration.
- Supports CPU, CUDA, Vulkan, and other hardware acceleration backends.
- Runs AI models locally, improving privacy and reducing cloud dependency.
- Includes built-in HTTP server and web interface for model interaction.
- Optimized memory usage for running LLMs on personal computers and servers.
- Compatible with popular models such as LLaMA, Mistral, Gemma, Qwen, Phi, and other GGUF-based models.
- Suitable for chatbots, AI assistants, research, automation, and private AI applications.
Usage Instructions:
Verify the llama.cpp server version:
$ sudo su
$ cd /opt/llama.cpp
$ llama-server --version
# Start llama.cpp Server
$ llama-server \
-m ~/models/model.gguf \
-c 8192 \
--host 0.0.0.0 \
--port 8080
Access of llama-cpp Server UI: $ http://your_server_ip:8080
Disclaimer: llama.cpp Server is open-source software distributed under its respective open-source license. It is independently developed and maintained by the llama.cpp community and contributors and is not affiliated with any commercial entities unless explicitly stated. The software is provided "as is," without warranties or guarantees of any kind. Users are responsible for their usage and should ensure compliance with applicable laws, model licenses, and usage policies.
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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