AI Workstation
A high-performance AI workstation for local model development, experimentation, inference, and GPU-accelerated AI workloads.
- Intel Core Ultra / AMD Ryzen 9
- RTX 4090 / RTX 5090
- 128GB DDR5 RAM
- 4TB NVMe SSD
Private AI & On-Premise Computing
Local LLM & Private AI Infrastructure
Build private AI infrastructure with local LLM servers, AI workstations, GPU computing, and on-premise systems designed around your organization's requirements.
Panwar Enterprises provides Local LLM and private AI infrastructure solutions for organizations looking to run AI workloads on controlled computing environments. Hardware can be configured around the required models, GPU memory, compute capacity, storage, networking, security requirements, and number of users.
Local LLM & Private AI Solutions
From individual AI workstations to enterprise GPU infrastructure, explore computing solutions for local AI development and deployment.
Enterprise LLM Server
A rack-mounted GPU server designed for hosting private Large Language Models and other enterprise AI workloads.
- AMD EPYC / Intel Xeon
- Multiple NVIDIA GPUs
- ECC Memory
- Remote Management
Private AI Infrastructure
Complete on-premise AI infrastructure for organizations that require control over their AI systems, models, and data.
- Local LLM Deployment
- Vector Database Ready
- RAG Integration
- Enterprise Security
Private AI Computing
Why Consider Local LLM Infrastructure?
Local AI infrastructure can provide organizations with greater control over their computing environment and how AI workloads are deployed.
Infrastructure Control
Run AI workloads on infrastructure that your organization controls and configures.
Private Deployment
Build AI applications within an on-premise or controlled network environment.
GPU Acceleration
Select GPU hardware around model size, inference requirements, and expected AI workloads.
Scalable Systems
Plan workstation or server infrastructure around current requirements and future expansion.
AI Workloads
What Can a Private AI Server Support?
A suitable Local LLM or private AI system can support different workloads depending on the selected models, hardware, applications, and infrastructure architecture.
- 01Local LLM inference and experimentation.
- 02Private enterprise AI applications.
- 03Retrieval-Augmented Generation and document workflows.
- 04AI development, testing, research, and experimentation.
- 05GPU-accelerated machine learning workloads.
Explore Related Computing Solutions
Explore GPU servers, storage servers, server racks, custom gaming PCs, and other infrastructure solutions from Panwar Enterprises.
FAQ
Local LLM & Private AI FAQs
Common questions about Local LLM servers, private AI, workstations, and on-premise AI infrastructure.
What is a Local LLM?
A Local LLM is a Large Language Model that runs on infrastructure controlled by the organization instead of relying entirely on a remote hosted AI service. The required hardware depends on the model, quantization, workload, users, and performance requirements.
What is private AI infrastructure?
Private AI infrastructure is an on-premise or controlled computing environment used to run AI models and applications while giving an organization greater control over its infrastructure, data, models, and deployment environment.
Can I run an LLM on a local GPU server?
Yes. A suitable GPU workstation or GPU server can be configured for local LLM inference. GPU memory, model size, quantization, concurrency, context requirements, and expected workload should be considered when selecting the hardware.
Can private AI infrastructure support RAG?
Yes. Private AI environments can be designed to support Retrieval-Augmented Generation workflows. Depending on the application, the infrastructure may include an LLM, vector database, document processing components, application services, and appropriate storage.
Why use Local LLM infrastructure?
Organizations may choose Local LLM infrastructure when they require greater control over deployment, data handling, model access, infrastructure configuration, or network environment. The appropriate approach depends on the organization's technical and operational requirements.
Let's Build Your System
Ready to Build Your Next System?
Whether you need a gaming PC, GPU server, storage solution, or AI infrastructure, our team can design a system tailored to your requirements.