Private Large Language Model Server
QuasiScience · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Instead of relying on external APIs, you can deploy and manage state-of-the-art LLMs directly within your own infrastructure, giving you a competitive edge and peace of mind.
This solution is ideal for businesses that handle sensitive data, require deep customization, or need predictable performance and cost management.
Show the rest of the publisher’s description (13 more lines)
Key Benefits:
- Unparalleled Data Security & Privacy: With our self-hosted solution, your data never leaves your environment. All prompts, responses, and proprietary information remain securely within your private cloud or on-premise infrastructure. You have complete control over who can access your data and how it's used, eliminating the risk of third-party data breaches or having your confidential information used to train external models.
Ultimate Flexibility & Customization: Break free from vendor lock-in and API limitations. Our solution allows you to:
- Fine-tune models on your specific, proprietary datasets to create a truly unique and powerful AI assistant tailored to your business needs.
- Choose from a wide range of open-source models to find the perfect balance between performance and resource requirements.
- Integrate seamlessly with your existing enterprise systems, databases, and workflows.
- Optimize performance for your specific workloads, controlling latency, throughput, and scalability without being subject to external rate limits or policy changes.
Product Features:
- Easy Deployment: Our pre-configured templates, documentation, and support simplify the deployment process, allowing you to get up and running in minutes on popular cloud platforms or on-premise.
- Model-Agnostic: Support for a wide variety of leading open-source LLMs, giving you the freedom to choose the best model for your application.
- Scalable Architecture: Designed to scale with your business, whether you need to run a single model for a small team or a cluster of models for a large enterprise.
- Enterprise-Grade Security: Implement your own security protocols and access controls, including end-to-end encryption, to ensure the highest level of protection for your AI applications.
Stop compromising on security and flexibility. Empower your team to innovate with the full power of AI on your own terms.
Highlights
Highlighted by the publisher on AWS Marketplace.
Fully customizable deployment
Access many different Foundational Models
Keep your data safe
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.
Plans and pricing as listed
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Refund terms
As stated by the publisher on AWS Marketplace.
Please refer to our refund policy for digital goods at: https://quasiscience.com/resources/returns-policy-digital/
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.