Technology - Exabyte Studio

Six-Layer Clean Architecture

Exabyte Studio implements a sophisticated six-layer architecture ensuring reliability, scalability, and maintainability. Each layer communicates only with adjacent layers through well-defined interfaces.

GUI Layer (Qt6/PySide6)

Desktop application with professional editing interface. Zero-copy tensor visualization via shared memory. Read-only workspace access for real-time preview without data duplication.

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Application Layer (API Gateway)

REST and WebSocket APIs with authentication, RBAC, and session management. Public interface for external integration and automation.

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Orchestration Layer (Workflows)

High-level business logic and multi-step workflow coordination. Resource allocation, session management, and complex task decomposition.

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Operations Layer (Bridge)

Bridge layer with five sub-packages routing to independent bottom packages. Enum-based operations for type-safe execution across all domains.

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Bottom Layers (Five Independent Packages)

Five parallel packages that cannot communicate with each other directly. Each package has a single responsibility and clean interface.

Hardware

Physical equipment control

Systems

OS resource management

Algorithms

Data processing algorithms

Project

PyTorch tensor workspace

Plugins

AI agent system

Key Architectural Principle

Each layer only communicates with adjacent layers through well-defined interfaces. The Operations layer acts as a bridge, routing requests to the appropriate bottom package via five specialized sub-packages (services, management, transform, assistance, extensions). This ensures clean separation of concerns and prevents tight coupling.

Core Technologies

Advanced engineering patterns that power Exabyte Studio's performance and reliability.

Zero-Copy Shared Memory IPC

Exabyte Studio uses PyTorch's shared memory capabilities for zero-copy inter-process communication. When the backend processes a tensor, it stores it in a named shared memory segment. The GUI can then access the same tensor directly without serialization or copying, enabling real-time visualization of multi-gigabyte datasets with minimal latency.

BufferReference Pattern

Instead of passing large tensors between layers, Exabyte Studio uses lightweight BufferReference objects containing only metadata (buffer_id, shape, dtype, shared memory name). This allows efficient communication across all architectural layers while maintaining the separation of concerns principle.

PyTorch-Native Workspace

All data processing in Exabyte Studio operates on PyTorch tensors, providing seamless integration with machine learning algorithms and GPU acceleration. The TensorWorkspace manages buffer lifecycle, memory allocation, and provides both read-write (backend) and read-only (GUI) access patterns.

Async-First Design

Every layer interface in Exabyte Studio is asynchronous by default, using Python's asyncio framework. This enables non-blocking operations throughout the entire stack, from hardware capture to GUI updates, ensuring responsive user experience even during intensive processing tasks.

AI & ML Algorithms

State-of-the-art algorithms for generation, reconstruction, and processing with 100% test coverage.

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ExabyteImage 3.0

Exabyte Text-to-Image 48K Tests

Advanced text-to-image generation model supporting high-resolution outputs up to 2048x2048. Produces photorealistic images from natural language descriptions with fine-grained control over style, composition, and artistic direction.

Multi-resolution support (512px to 2048px)
Advanced prompt understanding
Style transfer capabilities
Seed-based reproducibility

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ExabyteVideo 1.0

Exabyte Text-to-Video 48K Tests

Cutting-edge text-to-video generation with temporal consistency and motion control. Generates smooth, coherent video sequences from text prompts with configurable duration, resolution, and frame rates.

Temporal consistency across frames
Motion direction control
Variable duration (2-10 seconds)
Multiple resolution presets

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ExabyteWorld 1.0

Exabyte Panorama-to-3D 48K Tests

Revolutionary panorama-to-3D scene generation. Converts 360° panoramic images into fully navigable 3D environments with depth estimation, geometry reconstruction, and texture mapping.

Depth estimation from panoramas
Geometry reconstruction
Texture synthesis and inpainting
VR-ready output formats

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VGGT

Transformer 3D Reconstruction 28/28 Tests

Visual Geometry Grounded Transformer - transformer-based 3D reconstruction from multi-view images. Device-agnostic implementation supporting both CPU and CUDA execution with dense point cloud generation.

Multi-view geometry understanding
Attention-based feature matching
Dense point cloud output
CPU/CUDA support

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Gaussian Splatting

Real-time 3D Rendering CUDA

Real-time 3D scene reconstruction and rendering using 3D Gaussian primitives. CUDA-accelerated rendering with spherical harmonics for view-dependent appearance. Supports millions of splats at interactive frame rates.

Real-time rendering (60+ FPS)
Spherical harmonic appearance
Adaptive density control
View synthesis quality

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COLMAP

Classical Structure-from-Motion Photogrammetry

Classical structure-from-motion and multi-view stereo pipeline. Robust camera pose estimation, sparse and dense reconstruction with automatic feature detection and matching.

Automatic feature matching
Bundle adjustment
Dense multi-view stereo
Camera calibration

Technical Specifications

Performance benchmarks and capabilities of Exabyte Studio.

Codebase Size

272K+

Lines of professionally engineered code

Data Modalities

Image, Video, Audio, 3D, Spatial, AI

Test Coverage

100%

AI algorithms fully tested

Video Resolution

Maximum supported resolution

Audio Channels

Multi-channel spatial audio

Ambisonics Order

3rd

Professional spatial audio

GPU Acceleration

CUDA

NVIDIA GPU support

API Types

REST and WebSocket

Technology Stack

Modern frameworks and libraries powering Exabyte Studio.

Core Languages

Python 3.11+ C++17 CUDA

ML & AI

PyTorch 2.0+ TorchVision TorchAudio Transformers Diffusers

Computer Vision

OpenCV Pillow NumPy SciPy

Audio Processing

librosa soundfile pydub scipy.signal

GUI Framework

Qt6 PySide6 QtWidgets QtCore

API & Web

FastAPI WebSockets uvicorn Pydantic

3D & Rendering

PyOpenGL trimesh Open3D

Video Processing

FFmpeg av (PyAV) moviepy

Advanced Technology