When we interact with AI,

we always sense tiny gaps.
From issuing a command to receiving a response,
behind that brief delay
lies a revolution in computing.

In the past, we were accustomed to cloud computing power.

Data upload, computation, and return –
this process inherently involves latency and dependency.

Edge computing power, on the other hand, is the opposite.

It performs most computational tasks directly on the device itself.

Simply put:

Cloud computing power is "centralized processing"
Edge computing power is "local resolution"

The core advantages of "local resolution" are clear:

⭐Ultra-fast response, eliminating latency

⭐Data stays local, protecting privacy

⭐Available offline, stable and reliable

⭐Energy efficient, reducing costs

The "cloud" handles complex model training
The "edge" handles efficient local execution
Thus, a golden combination is born.

Under this model
the demand in one field is becoming unprecedentedly urgent
— that is Embodied Intelligence

Robots, autonomous driving, smart terminals...
All intelligent agents that need to act in the physical world
rely on powerful edge computing power.

Lingjing Zhiyuan (MScape)

Was born for this purpose!

We focus on
building a solid computational foundation
for intelligent agents in the physical world.

Condensing the computing power that once belonged to data centers
into the compact space of a robot.

Our flagship product — the Zhijing T Series
can unleash up to 1500T of robust computing power,
and is equipped with over 500GB of massive memory.
Enabling complex AI large models
to run smoothly on the terminal as well.

Through the world's first "Dvořák" hyper-heterogeneous architecture,
we seamlessly integrate AI cognition with real-time control,
not only providing powerful computing power
but also delivering a complete "unity of knowledge and action" solution,
offering a solid and reliable cornerstone

for the arrival of the era of intelligent everything!