MJYSOLUTION
Products

MJY2000

Based on Samsung SF4 · Flagship next-generation AI accelerator

A flagship AI computing platform built for large-scale training and high-throughput inference at datacenter scale.

MJY2000

MJY2000: Scaling AI Beyond Limits

MJY2000 builds on the proven MJY1000 architecture to push generative AI and accelerated computing to datacenter scale. With higher sustained throughput, greater memory capacity, and expanded multi-chip scalability, it is engineered for the largest training clusters and the most demanding inference services, carrying enterprise AI from pilot to full production.

Explore the Inner Workings of Innovation

High-Performance Computing
01

High-Performance Computing

MJY2000 delivers a major generational leap in compute for frontier-scale AI models. Targeting approximately 520 TFLOPS for FP16/BF16 and 1,040 TFLOPS for FP8/INT8 with support for ultra-low precision such as FP4, it accelerates massive matrix and tensor operations and dramatically shortens training time for the largest LLMs.

Memory & Interface
02

Memory & Interface

Equipped with high-capacity HBM3E memory and wider bandwidth, MJY2000 keeps large-context models fed at scale. PCIe Gen5 connectivity and an enhanced NoC fabric minimize latency between compute and memory, while high-speed links scale seamlessly across large multi-chip systems.

Energy Efficiency & Power Design
03

Energy Efficiency & Power Design

Engineered for sustained datacenter operation, MJY2000 improves performance-per-watt over the previous generation through advanced low-power processes and refined thermal control, holding stable performance under continuous high-load inference and training.

Scalability & System Integration
04

Scalability & System Integration

Designed for rack- and cluster-scale deployment, MJY2000 extends high-speed link scalability to larger topologies for next-generation training clusters and large-scale inference pipelines. Backed by Samsung’s HBM supply chain and advanced packaging, it ensures stability in mass production and system integration.