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Vbox DC

Overview

The VBox DC is the world's first 64-GPU single-node AI supercomputer, designed for next-generation AI and accelerated computing. With up to 64 NVIDIA or AMD GPUs in a single node, it delivers unmatched performance, scalability, and efficiency for large-scale AI workloads. Powered by FabreX AI Memory Fabric, VBox DC reduces latency, network overhead, and administrative complexity, making it an ideal solution for large datasets, high-performance computing (HPC), and large AI models.

Key Features & Specifications

  • Unprecedented GPU Density – Up to 64 GPUs in a single node for maximum AI and HPC performance.

  • FabreX AI Memory Fabric – Industry-first software-defined, memory-centric architecture for optimized resource utilization.

  • Extreme Computational Power – Supports 64 AMD, NVIDIA GPUs and custom PCIe accelerators

  • High-Efficiency AI Processing – Reduces data transfer bottlenecks between GPU, system memory, and storage, boosting throughput.

  • Simplified AI Deployment – Consolidates GPU power into a single rack, reducing infrastructure complexity.

  • Optimized Power Efficiency – Configurable to sub-10kVA per rack, making it suitable for enterprise data centers.

 

Performance & Scalability

  • Industry-Leading Compute Performance – Delivers 2,140.8 TFLOPS FP64 and 83,676.8 TFLOPS FP8 for AI model training and inference.

  • Breakthrough Scalability – Consolidates 64 GPUs in a single node, reducing the need for multiple servers.

  • Optimized for Large AI Models – Supports large-scale deep learning, natural language processing (NLP), and HPC workloads.

  • Future-Proof AI Infrastructure – Designed for upcoming AI model requirements, ensuring long-term compatibility.

Security & Compliance

  • Enterprise-Grade AI Security – Ensures secure AI model training and execution in regulated environments.

  • Data Protection & Isolation – Reduces risk by optimizing memory management across AI workloads.

  • Optimized for Government & Defense AI – Supports classified neural network development with strict security compliance.

  • Reliable High-Availability Design – Redundant infrastructure ensures 99.99% uptime for mission-critical AI tasks.

Integration & Compatibility

  • Plug-and-Play AI Model Deployment – Ideal for large datasets, deep learning models, and enterprise AI training.

  • Seamless Fabric Integration – FabreX AI Memory Fabric ensures low-latency CPU-GPU disaggregation.

  • Compatible with Major AI Frameworks – Supports all cuda based code i.e TensorFlow, PyTorch, JAX, ONNX, and MLflow for AI workloads.

  • Enterprise & Cloud AI Ready – Deployable in private data centers, colocation, or hybrid cloud environments.

Industries & Use Cases

  • Large Language Model (LLM) Processing – Handles GPT-scale AI model training and inference with optimized memory efficiency.

  • High-Performance Computing (HPC) – Supports scientific simulations, data analytics, and complex AI research

  • Enterprise AI & Research Institutions – Provides on-demand AI compute for universities, government labs, and Fortune 500 AI teams.

  • Next-Gen AI & Deep Learning – Enables AI-powered innovation in fintech, healthcare, and autonomous systems.

  • Defense & Cybersecurity AI – Optimized for secure, real-time AI processing for intelligence, surveillance, and reconnaissance (ISR).

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