As 2025 draws to a close, we would like to express our most sincere gratitude and best wishes to you during this year-end season.
This year marks Accusys' 30th anniversary. Over these three decades, we thank you for your partnership, which has enabled us to advance steadily through evolving technologies and continue to serve you. Looking back on this year, every successful project and every collaboration and interaction have been supported by your trust. This partnership is our most precious asset and the driving force that propels us forward.
We wish you a prosperous new year, good health, and peace for your families.
In 2026, we will set forth with renewed energy! We are already planning exciting events and look forward to meeting you face-to-face to share more innovative technologies and solutions. Once again, thank you for your companionship and support over these thirty years. Let us move forward together toward the next brilliant three decades!
T-Share + Mac Studio: The Local Collaboration Hub for AI Teams
Natural Evolution from Personal Desktop to Data Center
When a single Mac Studio can already handle the workloads of AI inference and video production, what teams need is no longer just computing power, but collaboration efficiency and data consistency—precisely the domain where Accusys T-Share excels.
Four Core Values of Local Collaboration
- Real-time Collaboration: Supports multi-user simultaneous read/write and conflict-free access, maintaining full real-time performance.
- Data Security: All data remains within the enterprise, even on your office desk, without relying on external cloud services, meeting security and compliance requirements.
- Silent Efficiency: The entire architecture can operate in a standard office environment without requiring high-spec server rooms and cooling equipment.
- Scalable Ecosystem: Naturally integrates with Mac Studio, T-Share, and Xsan systems, scaling linearly from individual to team, from studio to enterprise.
Connecting Every Mac Studio into a Complete Intelligence
T-Share adopts enterprise-grade SAN architecture and Apple Xsan-compatible collaboration framework, allowing up to 16 workstations to simultaneously access the same project data. Whether for model development, asset editing, or multi-user post-production, team members can collaborate on a single source of truth with all changes updated in real-time and versions always consistent.
- Metadata Control Mechanism: Through metadata control, A16T3-Share coordinates multi-user read/write operations, fully avoiding write conflicts. When multiple team members work simultaneously, the system automatically manages file access permissions to ensure smooth collaboration.
- Multi-Workstation Parallel Access: A16T3-Share supports up to 16 workstations accessing the same data source simultaneously. Unlike traditional network storage, each Mac Studio receives an independent data path, maintaining stable performance even when multiple users perform high-load operations concurrently.
- Centralized Data Management: A16T3-Share allows all workstations to access the same data, eliminating version confusion. This centralized management is extremely practical for AI teams needing to store complete training datasets, multiple model weight file versions, and extensive experiment logs.
Practical Application Scenarios
Multiple researchers can simultaneously access shared training datasets. While one member trains a model and saves checkpoints, another simultaneously reads data for inference testing—the system automatically ensures no file conflicts occur. All experiment records sync in real-time, allowing immediate access to the latest results during team meetings.
Colorists, editors, and sound engineers can work on the same project file simultaneously. Through Apple Xsan cluster file system coordination, everyone's modifications reflect in real-time without "version overwriting" or "file locking" issues.
Financial institutions or healthcare organizations need to deploy large language model services on internal networks. Using multiple Mac Studios with A16T3-Share, they can establish completely offline AI inference environments:
- Large model weight files are uniformly stored in shared storage
- Each Mac Studio can quickly load complete models for inference
- All sensitive data remains within the enterprise
- Meets strict data sovereignty and compliance requirements
From Desktop to Team: Complete Local AI Architecture
- Mac Studio × Accusys: Desktop-grade AI workstation integrating computing and performance.
- Gamma Carry 12: Modular 1PB data lake solving capacity and speed bottlenecks.
- T-Share: Multi-machine shared collaboration hub that truly mobilizes data.
These three stages constitute a natural evolution path from individual to team. Mac Studio focuses on computing, Gamma Carry 12 provides expandable capacity, while T-Share enables the entire team to share the same intelligent storage foundation.
Accusys × Apple: Defining the Next Generation Desktop Collaboration Ecosystem
Over the past three months, we have introduced a complete local AI deployment solution. Together, these three components form a comprehensive infrastructure from individual development to team collaboration:
- Mac Studio: Provides computing performance and large unified memory required for AI inference
- Gamma Carry 12: Addresses large datasets storage needs, expandable to PB-scale capacity
- A16T3-Share: Enables collaborative access for up to 16 workstations, supporting simultaneous team operations
The combination of Accusys and Apple makes the desktop not just a computing node, but the starting point of a data center. When creation, R&D, and analysis can all be completed locally in real-time, we see not just performance improvements, but a transformation in work methodologies.
This is the new generation desktop AI ecosystem.
Year-End Inventory Shipping Suspension Notice
To conduct year-end inventory audit, we will suspend shipping services from December 25, 2025 (Thursday) to January 4, 2026 (Sunday).
If you have urgent orders, please place your orders in advance. We will resume normal shipping operations on January 5, 2026 (Monday).
We apologize for any inconvenience and thank you for your understanding and cooperation!
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