# Skymizer and MiTAC Computing to Showcase a 2.8-Trillion-Parameter AI Model Running on a Single Air-Cooled Server at SC26

- Link: https://www.thailand-business-news.com/pr-news/skymizer-and-mitac-computing-to-showcase-a-2-8-trillion-parameter-ai-model-running-on-a-single-air-cooled-server-at-sc26
- Published: 2026-11-05T20:05:00+07:00
- Author: PR Newswire

_2 TB card-memory configuration is designed to fit Kimi K3 within one server for
enterprise on-premises deployment_

TAIPEI, Nov. 5, 2026 /PRNewswire/ — Skymizer and MiTAC Computing today announced
a joint showcase at SC26 featuring Moonshot AI’s Kimi K3—a 2.8-trillion-parameter
mixture-of-experts model—running on a single MiTAC server equipped with eight Skymizer
HTX301 LPU cards and 2 TB of card-attached memory.

Kimi K3 uses native MXFP4 (quantization-aware trained) weights. The 2 TB memory 
capacity is designed to accommodate the approximately 1.56 TB weight set while leaving
capacity for KV cache. Final memory allocation and supported workloads remain subject
to engineering validation.

Skymizer will also participate in ICCAD-Expo 2026 in Beijing on November 19–20 with
local partners, bringing the same HTX301 product announcement to audiences in China.
Together, the SC26 announcement in Chicago and participation in Beijing give the
product announcement a global reach, connecting with enterprise AI customers and
partners in both markets.

**From COMPUTEX to a larger model platform**

The platform builds on Skymizer’s demonstration of Qwen3-VL-30B-A3B, a 30-billion-
parameter multimodal MoE model, at COMPUTEX 2026 on June 2–5.

"At COMPUTEX, we demonstrated Qwen3-VL-30B-A3B on our evaluation hardware," said
Luba Tang, Chief Technology Officer of Skymizer. "Our team is currently successfully
extending that work to a single-server configuration designed for Kimi K3. LISA™
provides a common instruction set and toolchain as we develop the memory-residency
and scheduling capabilities required for larger models."

"Enterprises want greater control over the models, data, and infrastructure behind
their AI services," said William Wei, Chief Marketing Officer of Skymizer. "Our 
work with MiTAC aims to make larger open-weight models more practical to deploy 
on premises. Workload validation remains essential to assessing power, cost, and
deployment requirements."

"At SC26, MiTAC Computing is showcasing scalable, full-stack AI infrastructure solutions
designed to support evolving AI workloads. Our collaboration with Skymizer explores
Prefill–Decode disaggregation and optimized AI inference deployment across diverse
workloads. By combining MiTAC’s server engineering expertise and scalable infrastructure
platforms with Skymizer’s inference technologies, we aim to provide customers with
greater flexibility and efficiency in AI deployment," said a MiTAC spokesperson.

**Built for enterprise on-premises deployment**

For enterprises seeking to operate AI within their own infrastructure, fitting a
large open-weight model within one air-cooled server offers a practical direction
for deployment. Skymizer’s capacity-first cards and decode-optimized architecture
are designed to support that goal while allowing enterprises to retain control over
their models, private data, and AI operations. Deployment still requires careful
matching of memory, compute, power, and cooling to the workload. The approach targets
enterprise needs in financial services, healthcare, government, manufacturing, and
semiconductor design, where data governance and operational control are central 
to adoption.

**AI-assisted delivery for enterprise deployment**

Bringing ultra-large models on premises also requires a practical path from hardware
to a working service. Skymizer is developing an AI-assisted delivery approach to
help enterprises select models for their workloads, prepare the software environment,
install and configure the inference stack, and validate the deployment before use.
The aim is to make these steps more consistent and repeatable while keeping model,
data, and deployment decisions under enterprise control.

The approach is designed around shared deployment tools that different AI assistants
can use, rather than dependence on a single agent or service. Over time, Skymizer
plans to extend this assistance to ongoing operations and maintenance, helping teams
diagnose issues and manage updates while retaining human oversight and approval.
This work supports Skymizer’s "Own Your Intelligence" direction by addressing how
enterprises deploy and maintain the AI systems they choose to own.

**Availability**

HTX301 chip production is expected to begin in Q1 2027. Development and validation
of the server platform are ongoing. Sampling and broader commercial availability
will be announced separately as integration and validation progress. Further information:
[skymizer.ai/events/sc26](https://skymizer.ai/events/sc26/) 

**About MiTAC Computing Technology Corp.**

MiTAC Computing Technology Corp., a subsidiary of MiTAC Holdings, delivers comprehensive,
energy-efficient server solutions backed by industry expertise dating back to the
1990s. Specializing in AI, HPC, cloud, and edge computing, MiTAC Computing employs
rigorous methodologies to ensure uncompromising quality — across barebones, systems,
racks, and cluster levels — fully achieving performance and integration.

**About Skymizer**

Founded in 2013, Skymizer Taiwan Inc. develops purpose-built Language Processing
Unit (LPU) IP and silicon for on-premises and on-device LLM inference. Its HyperThought
™ platform pairs compiler-driven software with transformer-optimized hardware, and
its LISA™ (Language Instruction Set Architecture) scales a single toolchain from
4-billion-parameter models to the trillion-parameter class. The HTX301-4S card has
an approximately 155W card-level power figure; workload-specific and whole-system
power remain subject to engineering validation. Multi-card systems are designed 
to support larger model-memory requirements while enabling enterprises to retain
control of models, data, and deployment. Learn more at skymizer.ai.

_HyperThought™ and LISA™ are trademarks of Skymizer Taiwan Inc. All other trademarks
are the property of their respective owners._

 

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