AI & HIGH-PERFORMANCE COMPUTING WORKSTATIONS
Build an AI workstation or high-performance computing workstation engineered for demanding workloads in data science, generative AI, large language models, machine learning, deep learning, and scientific computing. XOTIC PC professional workstations combine high-performance CPUs, powerful GPU configurations, high-capacity memory, and fast NVMe storage to provide the computational resources researchers, developers, engineers, and AI professionals need for modern compute-intensive workflows.
Whether you are developing machine learning models, experimenting with local generative AI, processing massive datasets, running scientific simulations, or deploying large language models, your hardware can have a major impact on development speed and overall productivity.
XOTIC PC offers customizable AI and HPC workstations that can be configured around your applications and workloads, from powerful single-GPU systems to advanced multi-GPU platforms built for accelerated computing.
DATA SCIENCE WORKSTATIONS
A high-performance data science workstation can provide the processor, memory, storage, and GPU resources required to analyze complex datasets without relying entirely on remote computing infrastructure.
Configure your workstation for demanding data preparation, visualization, statistical analysis, model development, and GPU-accelerated computing workflows. High-core-count processors can support parallel workloads and multitasking, while expanded system memory helps accommodate large datasets and memory-intensive applications.
Fast NVMe SSD storage can improve access to datasets, project files, development environments, and frequently used applications, helping create a responsive platform for data scientists, analysts, researchers, and developers.
GENERATIVE AI WORKSTATIONS
Run modern generative AI workloads locally with a purpose-built generative AI workstation configured for GPU-accelerated computing.
Generative AI applications can place significant demands on GPU performance and available graphics memory, especially when working with larger models, higher-resolution image generation, AI video workflows, model fine-tuning, or multiple models and applications simultaneously.
XOTIC PC systems can be configured with powerful NVIDIA GPU options, expanded memory, and high-speed storage for workflows involving image generation, diffusion models, AI-assisted content creation, inference, training, and experimentation.
A dedicated AI workstation also gives developers and creators greater control over their local computing environment, models, datasets, and development tools.
LARGE LANGUAGE MODEL & LLM WORKSTATIONS
Build an LLM workstation for experimenting with, developing, fine-tuning, and running supported large language models locally.
Large language model workloads can require significant GPU compute, VRAM, system memory, and storage depending on model size, precision, context length, quantization, and the type of work being performed. Configurable single-GPU and multi-GPU workstation platforms allow you to select hardware based on the scale and complexity of your AI projects.
For developers, researchers, businesses, and AI teams, a dedicated large language model workstation can provide a powerful environment for local inference, retrieval-augmented generation workflows, model evaluation, fine-tuning, AI application development, and experimentation.
Higher-capacity GPU and memory configurations can also provide greater flexibility as models and project requirements grow.
MACHINE LEARNING & AI WORKSTATIONS
Accelerate model development with a machine learning workstation designed around modern CPU and GPU computing.
Machine learning and deep learning workflows often involve repeated cycles of data preparation, experimentation, training, validation, and inference. A properly configured AI workstation can help reduce processing time while providing the flexibility to work with popular development environments, frameworks, and GPU-accelerated applications.
Configure your system with the GPU performance, graphics memory, CPU core count, system memory, and storage capacity required for your specific machine learning workload.
From computer vision and natural language processing to predictive analytics and deep learning research, XOTIC PC workstations provide scalable hardware options for professional AI development.
SCIENTIFIC COMPUTING & HPC WORKSTATIONS
For computationally intensive research, engineering, modeling, and simulation workloads, an HPC workstation provides powerful local computing resources in a professional desktop platform.
High-performance computing applications can benefit from high-core-count CPUs, GPU acceleration, large memory capacities, high-speed storage, and advanced multi-GPU configurations. These systems can support workloads involving numerical analysis, computational research, simulation, visualization, engineering calculations, and other forms of scientific computing.
XOTIC PC scientific computing workstations can be configured to balance CPU and GPU performance based on your software, datasets, models, and computational requirements.
Whether your workload relies primarily on processor performance, GPU acceleration, large amounts of system memory, or a combination of all three, your workstation can be tailored to the task.
BUILD A CUSTOM AI & HPC WORKSTATION
No two AI or scientific computing workloads are identical. XOTIC PC gives you the flexibility to configure a professional workstation around the hardware requirements of your applications rather than settling for a fixed configuration.
Choose from high-performance processors, professional and compute-focused GPUs, large memory configurations, high-speed NVMe storage, advanced cooling, and multi-GPU workstation platforms for demanding professional workloads.
Every XOTIC PC workstation is professionally assembled, tested, and validated by our team in Lincoln, Nebraska.
Explore our AI and high-performance computing workstations for data science, generative AI, large language models, machine learning, deep learning, and scientific computing, then configure a system built around the way you work.