Powerful Ideas,
Solid Ground

Your AI systems—whether on-premise or in the cloud.

Explore Our Infrastructure
BRIQ Labs Infrastructure Center
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Engineering
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Data Privacy

Infrastructure Engineering

General public cloud solutions are great, but not every AI project fits a 'one-size-fits-all' mold. When data privacy, cost efficiency, and performance are critical, designing and building the right infrastructure is just as important as the model itself.

At BRIQ Labs, we don't just develop models; we design and implement the systems they run on. Whether it's an on-premise setup on your company servers or an optimized cloud architecture, we provide custom solutions powered by our engineering expertise.

We transfer the experience gained from our own R&D rig directly to your systems.

Custom Deployment (On-Premise)

AI power without your data ever leaving the company.

Cloud Optimization

Using your existing cloud resources in the most efficient way.

R&D and Training

Testing and training new models on our own research rig.

Our R&D and Test Platform

The power to rapidly prototype and train ideas

Representation of modern server infrastructure

Our Core Training Rig

We possess a compact yet powerful training rig consisting of next-gen NVIDIA 50-series GPUs (including laptop GPUs). This platform is the ideal starting point for training custom models for our clients, conducting research, and testing the latest AI techniques.

  • GPU Architecture: NVIDIA 50-Series
  • Use Case: Rapid prototyping, fine-tuning, and R&D
  • Capacity: Training power to support enterprise projects

Engineering and Deployment

Our true strength comes not from the hardware itself, but from knowing how to build it. Our team has deep engineering knowledge to design, install, and optimize the right cloud or on-premise AI infrastructure tailored to your company's needs.

  • Expertise: Cloud (AWS, GCP, Azure) Deployments
  • Expertise: On-Premise Server Configuration
  • Focus: Cost / Performance Optimization
Representation of modern server infrastructure

Infrastructure Engineering and Deployment

Solutions Tailored to Your Needs: Cloud or On-Premise

Application Layer
Web Interface
API Gateway
Mobile Apps
Service Layer
LLM Services
RAG Engine
Agent Framework
Model Layer
Fine-tuned Models
Base Models
Embeddings
Infrastructure Layer
GPU Cluster
Storage
Network

Layered Architecture

Designed so that each layer can be independently scaled and updated.

Microservices Approach

Each service runs in isolated containers, ensuring maximum flexibility and reliability.

Right Scaling

Whether it's auto-scaling in the cloud or efficient capacity planning for on-premise.

Load Balancing

Smart load distribution ensures optimal performance and high availability at all times.

Data Strategy and Security

Your Data Under Your Control

Data Encryption

All your data is encrypted both in transit (TLS 1.3) and at rest (AES-256). Maximum protection with end-to-end encryption.

Network Security

We implement secure network architectures (VPC, VPN) and best security practices for on-premise setups. Zero-trust network model.

Access Control

Authentication via Role-based access control (RBAC), multi-factor authentication (MFA), and detailed audit logging.

Compliance

We design infrastructures compliant with data privacy regulations like GDPR and KVKK. We guarantee your data never leaves company borders.

Backup

We determine backup and disaster recovery strategies tailored to your specific needs.

Monitoring and Audit

We integrate detailed logging and monitoring solutions for the systems we deploy.

Optimization and Efficiency

Balancing Cost and Speed

99.9%

High Availability

We design redundant systems to ensure your critical AI services run without interruption, whether on-premise or in the cloud.

<100ms Goal

Low Latency

We optimize inference servers and caching mechanisms so your models provide instant responses to users.

Smart
Scaling

Efficient Scaling

We perform correct capacity planning for your on-premise systems or implement scale-to-zero cloud solutions that ensure you only use the resources you need.

4.8 /5.0

Engineering Support

We don't just install and leave. We continuously monitor your infrastructure's performance and develop it alongside your project.

Comparison: On-Premise vs. Public Cloud

Feature
On-Premise (BRIQ Labs)
Public Cloud
Model Inference Speed
Maximum (Dedicated Hardware)
Shared
Data Security
Full Control (Data In-House)
Provider Dependent
Customization
Unlimited
Limited
Cost (Long Term)
Lower (TCO)
Variable

Let's Discuss Your Infrastructure Needs

Let's design the right cloud or on-premise solution
for your project together.

Contact Us