Solutions by Workload
Optimized AI workstation solutions for your specific workload and performance requirements
AI & Deep Learning
Train and deploy large models with multi-GPU performance
Optimized for large-scale model training, fine-tuning, inference, and deep learning research workflows. From single-GPU development to multi-GPU distributed training.
Key Features
- Multi-GPU configurations for parallel training
- CUDA-optimized software stacks
- Large memory capacity for big models
- Distributed training across GPUs
- Local LLM deployment and inference
Use Cases
- Large language model training and fine-tuning
- Computer vision and image recognition
- Reinforcement learning experiments
- Deep learning research and development
- AI model inference at scale
Engineering / CAD / Simulation
High-performance workstations for design and simulation
Powerful single-GPU workstations optimized for CAD design, CFD/FEA simulation, engineering visualization, and technical computing.
Key Features
- Professional GPU acceleration for CAD workflows
- High core-count CPUs for simulation
- Optimized for SOLIDWORKS, AutoCAD, ANSYS
- Real-time visualization and rendering
- Stable performance for long-running simulations
Use Cases
- CAD design and modeling
- CFD and FEA simulation
- Engineering visualization
- Product design and prototyping
- Technical computing and analysis
Content Creation / Media
Professional workstations for creative production
From single-GPU workstations for individual artists to quad-GPU powerhouses for production studios. Optimized for VFX, animation, rendering, and media production.
Key Features
- Multi-GPU configurations for concurrent rendering
- Real-time rendering and preview
- High-resolution video processing
- Studio pipeline acceleration
- Optimized storage for media workflows
Use Cases
- VFX and animation production
- Multi-stream video editing
- Complex motion graphics
- Professional photo editing
- Virtual production and real-time rendering
Scientific Research / Big Data
High-performance computing for research and analytics
Workstations optimized for scientific computing, big data analytics, genomics, data visualization, and HPC applications requiring high memory and compute power.
Key Features
- High memory capacity (up to 512GB ECC)
- Multi-GPU configurations for parallel computing
- High thread/core count for data processing
- Optimized for scientific workloads
- Scalable GPU compute for large datasets
Use Cases
- Genomics and bioinformatics
- Big data analytics and visualization
- Scientific simulations
- Data exploration and analysis
- HPC and research computing
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