Unparalleled Performance and Power Efficiency

 
Unparalleled Performance and Power Efficiency

Vector Holdings’s next-generation AI processor “Cornami” is built upon a proprietary processor architecture.

In processing large language models (LLMs), it has demonstrated an astonishing 10× performance improvement compared to NVIDIA H100-based servers, while reducing power consumption to just one-fourth of conventional systems. This breakthrough is achieved by eliminating the traditional “von Neumann bottleneck” — the data transfer latency between processor and memory — through Cornami’s unique “Fabric Architecture” , which enables seamless data flow between cores and minimizes transfer overhead, thereby maximizing computational efficiency to its theoretical limit.

  Exceptional Scalability

 
Exceptional Scalability

The Cornami server architecture delivers linear performance scalability 

from small configurations to large-scale systems — precisely as designed.Traditional CPUs and GPUs face diminishing returns as server counts or core numbers increase, due to communication and synchronization delays.Cornami completely eliminates these limitations.

Through this architecture, Cornami realizes a revolutionary computing model — the larger the system, the faster it becomes.It delivers unmatched performance in computation-intensive domains such as AI inference, cryptographic processing, and real-time analytics.

  FHE (Fully Homomorphic Encryption)

 
FHE (Fully Homomorphic Encryption)

The Post-Quantum Era and the Coming Cryptographic Crisis

When quantum computers exceed 10,000 qubits of computational capacity, existing internet encryption standards such as RSA and ECC will be at risk of being broken. To prepare for this, a transition to quantum-resistant encryption is essential.Among the most promising solutions is Fully Homomorphic Encryption (FHE) — a revolutionary technology that allows computation on data while it remains encrypted, enabling secure data processing even in the quantum era.

Traditionally, implementing FHE on conventional CPUs or GPUs required enormous computation time.By adopting a non–von Neumann architecture, Cornami overcomes this limitation — eliminating memory bottlenecks and transcending Amdahl’s Law to achieve encryption processing at practical speeds.

As a result, FHE has evolved from a “theoretical ideal” into a “real-world” service,making it possible to fundamentally prevent the leakage of intellectual property and confidential information.

  Building High-Quality Data Through Proven Expertise

 
Building High-Quality Data Through Proven Expertise

Vector Holdings collaborates with “Adecco”, a company with extensive experience in the annotation field, to advance high-quality AI data development services. 

Adecco has already delivered numerous annotation projects, with a strong track record in project design, quality management, and training systems. Through this partnership, Vector Holdings establishes a flexible operational framework capable of supporting a wide range of industries.

By leveraging Cornami servers, we enable high-speed processing of large-scale, encrypted datasets — a task that was previously difficult to achieve — thereby realizing a next-generation annotation infrastructure that balances security and efficiency.

Furthermore, Vector Holdings utilizes its strong network of experts across healthcare, elderly care, education, agriculture, and public administration to handle highly specialized annotation tasks with exceptional precision.

Through these efforts, we are building a “comprehensive annotation framework that supports everything from general-purpose AI to domain-specific AI development”.