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AI Model Training & Optimization Infrastructure

Building the
Core Engine of Future AI

We specialize in AI model training and optimization, building a complete technical system from data processing and distributed training to model acceleration and edge-cloud collaborative inference.

Faster & More Stable

End-to-end platform, focus on the model without building complex underlying architecture.

Full-Stack Performance

Optimization not just at the algorithm level, but covering compute scheduling, architecture, and inference systems.

Edge-Cloud Inference

Core self-developed hybrid inference framework achieving rapid response and ultra-low resource costs.

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Core Product Ecosystem

We built three core product systems to support enterprises from training to inference.

AI Training Cloud

Integrates distributed frameworks, data pipelines, mixed precision optimization, and compute scheduling for efficient, controllable model training.

Large Scale Distributed

  • • Data/Tensor/Pipeline Parallelism (DP/TP/PP)
  • • ZeRO Optimization Strategy
  • • 1000+ GPU Collaboration

Multimodal Capability

  • • Multimodal Transformer Framework
  • • Auto Alignment & Fusion
  • • High-efficiency Data Pipelines
Auto Hyperparam Opt AMP Mixed Precision DeepSpeed Data Cleaning
Training Progress 87.4%
Loss Convergence 0.0234
GPU Utilization 98.2%

Model Optimization Suite

A systematic toolchain helping teams reduce model costs, accelerate inference, and improve deployment efficiency.

  • Quantization: Supports INT8/INT4, reducing costs by 50%-90%.
  • Distillation: Build lightweight models for real-time edge scenarios.
  • Acceleration: CUDA Kernels, KV Cache, Flash Attention.

Hybrid AI Runtime

Deep integration of high-load cloud triggers with local lightweight compute nodes for a leading edge-cloud experience.

  • Cloud Triggers: Auto GPU/TPU scheduling for massive tasks.
  • Edge Nodes: Local millisecond feedback, stable even in weak networks.
  • Smart Router: Automatically determines the optimal execution path.

Underlying Technology

A complete infrastructure architecture across training, optimization, and inference.

Compute Orchestration
Lab Certified

AI Model Engine

  • Adaptive Training Algorithms
  • Multimodal Transformer Structure
  • RLHF & Auxiliary Modules
  • Intelligent Prompt Optimization

Compute Orchestration

  • Real-time GPU/TPU Scheduling
  • Multi-cluster Constraints
  • Orchestration & High Availability
  • Hybrid Cloud Resource Mgmt

Model Optimization Lab

  • Autonomous Graph Kernels
  • Inference Engine Integration
  • Data Reuse & KV Cache
  • Memory Reordering Acceleration

Impact at a Glance

Real numbers that reflect our scale of collaboration and execution.

Partners
0

Active collaboration partners worldwide

Models
0

Models trained / optimized through pipelines

Online
0
people

Global online workforce in real time

Updates automatically from live endpoint.

Leadership

Tammy Nelson

Tammy Nelson

CEO

Leading strategy, vision, and global team alignment at RRT AI.

Frank Wright

Frank Wright

COO

Overseeing operations, execution, and organizational alignment at RRT AI.

Linda Johnson

Linda Johnson

CFO

Shaping financial discipline, risk management, and long-term value creation at RRT AI.

Kenneth Martin

Kenneth Martin

CTO

Driving innovation, technology strategy, and scalable solutions at RRT AI.

Betty Walker

Betty Walker

CHRO

Cluster Scheduling Architecture & Edge-Cloud Frameworks.

Connect With Us

Ready to see how our true full-stack solution can help drive meaningful growth for you?