Computers

Huawei MateStation S review: One smart workstation

Bringing the entire master race together in one suite

Published

March 26, 2021

Gab Orlina

Desktop workstations work the same way the moment you get them: boot it up, and start working on your reports or presentations. The moment you press the button, you come prepared with every piece of hardware you need to get going. From your smartphone and storage devices to wireless headsets, this is how an ideal workstation practically looks like.

However, the integration of all of these technologies into one workstation requires a ton of things to consider. From compatible hardware to required software, you can’t fully optimize everything in, supposedly, one sitting. Well, Huawei thought you probably could. You just need the proper hardware to bring everything together.

Enter the Huawei MateStation S and the suite of peripherals it can come with. The entire system comes with features that ultimately enhance the workstation experience, while integrating smart features here and there. For a company’s latest attempt in expanding their portfolio, I feel this is their way of creating an entire ecosystem.

But, is this workstation even worth looking at? Well, here’s what you’re getting with the MateStation S:

It comes in a compact form factor with a Star Trail design

Inside, it is powered by a 4th generation AMD Ryzen CPU

It only comes in the Space Gray colorway

Well-thought out design, but be careful

The main star of the show is this compact prebuilt system in Space Gray. Honestly, I was surprised that a workstation like this comes in a relatively small package. Like I mentioned before, its compact form factor makes it relatively easy to move around and place anywhere. I felt that this would be a good thing for people who have cramped work spaces.

Huawei also didn’t mind putting in a little flare in there with the Star Light design at the front panel. To be honest, I was looking for some way this could be useful to the system in terms of ventilation. Upon my usage of it, it’s mostly just for pure aesthetics since there’s no air coming out of it.

An extra slot for mobile RAM and another M.2 SSD

Now, this system isn’t actually totally complete in terms of a full upgrade. I’ll run down the spec sheet later on, but I found out there’s room for upgradability inside the system. From additional RAM to even installing a dedicated GPU, this is a workstation that you can turn into a beast. Of course, you have to willingly void your warranty early if you choose to open this up.

Workstation performance fit for WFH

Inside the Huawei MateStation S is an AMD Ryzen 5 4600G processor, which offers great performance and power efficiency. This hexa-core processor is great for even most basic workstations you either plan to buy or build. Along with the Ryzen 5 4600G, the MateStation S comes only with integrated Radeon graphics and 8GB of RAM.

For the most part, I had a pleasant experience using this machine for some of my business-centric tasks on my day job. From creating process documents and data reports to online video conferences, the system handled all of these quite well. When using this for social media browsing and HD video playback, it still remains fast and responsive.

Although, I don’t recommend using this workstation in its current configuration for graphic-intensive work. Sure, basic photo editing and older games work on this system but the integrated graphics option simply can’t afford going higher than that. The good thing is you can pry the system open and upgrade your RAM and GPU, but at your own risk.

Comes with a great, optional display option

Obviously, the MateStation S isn’t the only thing the entire suite contains but from here on out, these are purely optional stuff. First up is the Huawei Display, which comes in at PhP 7,999. It’s a 23.8-inch FHD display which is designed like any other monitor for offices. Apart from the gold Huawei branding and the sleek black color, there’s really nothing else fancy about it.

In my time using it, it’s a decent workstation monitor and secondary display. The display is quite bright and is relatively color accurate when watching HD videos. Although, it does suffer from a little bit of glare against sunlight so I’d rather place this far from the window, if ever. Also, it comes with the standard HDMI and VGA ports at the back — again, it’s stuff you expect from most monitors.

However, the first few times I used the monitor, I noticed a bit of a backlight issue by the right side. When it happened, it only shows up on either darker backgrounds or when I boot up the machine. Fortunately, it didn’t happen for the majority of the time I was using it, so I guess it pretty much solved itself out.

An optional, ultra-slim, smart keyboard

Another optional peripheral for the entire suite is Huawei’s Ultra-Slim Keyboard. It’s a full-sized keyboard, complete with the usual function keys catered for media and business. At first, you would think that there’s really nothing special about it. However, this is where Huawei put their smart service integration to the fullest of its extent, in my opinion.

See, this slim keyboard comes with two important features: Windows Hello and Huawei Share. At the top right of the keyboard, you will find a fingerprint sensor/button that unlocks your PC through Windows Hello. It’s fairly easy to set up, and it was quite fast in recognizing your fingerprint, as long as it’s relatively clean.

When it comes to Huawei Share, you will find this on the right Shift key and contains a built-in NFC sensor. In essence, you can use your compatible Huawei smartphones to transfer files for work or do Multi-Screen collaboration. It’s something that even their own MateBook lineup hasn’t fully integrated yet, so this is a big step up for a smarter experience.

Is this your WorkstationMatch?

At PhP 30,999, the Huawei MateStation S provides quality performance for any business-centric workstation. Its compact form factor allows for any flexible arrangements for your workspace, and it comes with powerful hardware for all your tasks. If you just need a prebuilt system for some school work, this is one great option too.

If you’d like, you can opt to bundle this with the optional peripherals Huawei has to offer for a smarter experience. Specifically, the Huawei Ultra-Slim Keyboard would be the ideal peripheral to buy for Windows Hello and Huawei Share integration. Also, you can upgrade certain hardware inside the system at the expense of your warranty.

Overall, the Huawei MateStation S serves as a riveting workstation PC for any and all professionals, and even for the young ones in school. If you’re knee-deep in Huawei’s growing ecosystem, this expansion into the desktop PC space is something worth investing in.

Related Topics:featured Huawei Huawei Mate Station S

Computers

Lenovo accelerates production-ready enterprise AI with NVIDIA

From AI inferencing to gigawatt-scale AI factories

Published

March 24, 2026

GadgetMatch

Lenovo has unveiled new Lenovo Hybrid AI Advantage with NVIDIA solutions designed to accelerate AI adoption, reduce time-to-first-token (TTFT), and deliver measurable business results across personal, enterprise, and cloud environments.

Building on the inferencing acceleration introduced at Lenovo Tech World, this next phase of Hybrid AI execution expands the solutions with device to data center to gigawatt-scale AI cloud deployments.

This enables real-time decision-making, operational efficiency, and intelligent automation across industries at global scale. The solutions boost productivity, agility, and innovation by enabling faster AI deployment.

The development comes as AI is seen moving from training models powering real-time decisions. Lenovo is prepared to address the demand for validated hybrid AI platforms built for production-scale inferencing, as organizations will need infrastructure to support such.

In fact, Lenovo’s Hybrid AI Advantage with NVIDIA are now delivering ROI in less than six months. The new inferencing-optimized ThinkSystem and ThinkEdge servers are being utilized for real-time inferencing across retail, manufacturing, healthcare, sports, and smart city scenarios.

The expanded portfolio includes:

two Lenovo Hybrid AI platforms, featuring NVIDIA RTX PRO 6000 Blackwell Server Edition and Blackwell Ultra
Hybrid AI inferencing starter platform with RTX PRO 4500 Blackwell Server Edition
Lenovo ThinkAgile HX650a with Nutanix Enterprise AI and Nutanix Kubernetes Platform
Lenovo Hybrid AI platforms with Cloudian

Bringing inferencing directly to professionals

Lenovo and NVIDIA are bringing AI from development environments to real-world production at a global scale. This is thanks to new Lenovo AI inferencing platforms with NVIDIA Dynamo and NVIDIA NIM.

Meanwhile, Lenovo AI Cloud gigafactory platforms are powered by NVIDIA Vera Rubin NVL72. Industry-specific agentic AI solutions are also built with NVIDIA Blueprints and software.

For consumers, there’s next-generation NVIDIA RTX Pro Blackwell-powered mobile and desktop workstations. These will be rolled out across the ThinkPad P14s Gen 7, ThinkPad P16s Gen 5, and ThinkPad P1 Gen 1 lineups.

ThinkStation P5 Gen 2 desktops, meanwhile, will get up to two RTX PRO 6000 Blackwell Max-Q GPUs. They will also have support for NVIDIA OpenShell.

For gigawatt-scale scenarios, the next-gen Vera Rubin platform accelerates deployment for hyperscale and sovereign AI cloud providers.

These fully liquid-cooled, rack-scale AI systems are engineered for faster deployment and dramatically improved token economics. They can achieve up to 10x higher throughput and up to 10x lower cost per token.

Computers

CIPTA debuts AI GPU server, edge workstation at CloudFest 2026

Malaysia-made AI infrastructure

Published

March 21, 2026

GadgetMatch

CIPTA Industrial Sdn Bhd steps onto the global stage with its European debut at CloudFest 2026. They introduced high-density AI infrastructure and edge-ready systems built for modern enterprise workloads.

Held at Europa-Park in Rust, Germany from March 23 to 26, the event marks the company’s first major international showcase under its own brand. Backed by InWin Development Inc., CIPTA positions itself as a new-generation EMS provider focused on AI, cloud, and enterprise systems.

At Booth R41, the company is highlighting two key platforms: the RG658 PRO GPU server developed with Phison, and the cubePRO edge workstation created in collaboration with Accordance.

Built for scalable AI workloads

Leading the showcase is the RG658 PRO, a high-density GPU server designed to handle large-scale AI training and inference without pushing costs out of reach for enterprises.

The system supports up to eight high-performance GPUs and integrates Phison’s Pascari aiDAPTIV alongside its PASCARI enterprise SSD lineup. This combination aims to improve data throughput, reduce latency, and streamline AI pipelines.

Thermal performance is a key focus. The RG658 PRO uses a dual-chamber design to separate heat zones, paired with up to 14 high-speed PWM fans for sustained cooling under heavy workloads. Power delivery is handled by a 3+1 redundant configuration of 80PLUS Titanium PSUs, scaling up to 9600W.

The result is a platform built to scale AI deployments on-site while maintaining efficiency and reliability.

Edge computing without downtime

Alongside its GPU server, CIPTA is introducing the cubePRO, a compact edge workstation designed for environments where uptime and data integrity are critical.

The system supports up to four PCIe slots for GPU configurations, making it suitable for AI workloads at the edge. It also features high-capacity multi-SSD setups and optimized airflow for continuous 24/7 operation.

Through its partnership with Accordance, the cubePRO integrates the Disk Array ARAID M500 solution, enabling high-availability storage and data protection. This ensures uninterrupted performance for use cases such as industrial systems, remote nodes, and enterprise branch deployments.

The focus here is clear: bring AI processing closer to where data is generated, without sacrificing reliability.

Strengthening Malaysia’s role in AI infrastructure

CIPTA’s debut also reflects a broader shift in global supply chains. Operating from Malaysia, the company offers end-to-end services—from concept to production—along with flexible manufacturing cycles and cost-efficient operations tailored for Southeast Asia and international markets.

With access to InWin’s server chassis ecosystem and infrastructure solutions, CIPTA combines global platform capabilities with localized integration. The goal is to help enterprises deploy AI and cloud infrastructure faster while diversifying their supply chain footprint.

As demand for AI systems continues to grow, CIPTA is positioning Malaysia as a key hub for scalable, production-ready infrastructure.

Visitors can find CIPTA at Booth R41 during CloudFest 2026 in Europa-Park, Rust, Germany.

Computers

AMD expands Ryzen AI Embedded P100 series lineup

Scalable, efficient AI compute for industrial, edge solutions

Published

March 12, 2026

GadgetMatch

AMD has recently announced the expansion of its AMD Ryzen AI Embedded P100 Series processor lineup.

This enables scalable and power-efficient AI compute tailor-built for industrial and AI edge systems. Scenarios include factory automation, physical AI in mobile robotics, and other AI-driven edge applications.

With eight to 12 high-performance Zen 5 cores, AMD ROCm support, and up to 80 total system TOPS, the new x86 embedded APUs deliver up to:

2x more CPU core counts
8x higher GPU compute
36% higher system TOPS

This way, developers and system designers get an expanded and scalable portfolio of power-efficient edge computing solutions. These processors support real-time AI from vision to control and reasoning, as well as offer advanced graphics capabilities.

On a single chip, clients get up to 80 TOPS physical AI acceleration, AMD RDNA 3.5 graphics for real-time visualization, and an NPU based on the AMD XDNA 2 architecture.

Moreover, the processors can withstand industrial temperature ranges (-40° C to 105° C) and can support continuous 24/7 operations for up to 10-year life cycles. That’s along with low-latency and power-efficient AI inference.

Real-life applications include intelligent factories, autonomous robots, and medical imaging devices. For instance, the processors can deliver CPU performance required for real-time inspection and process optimization.

For mobile robots, meanwhile, processors can manage navigation, motion, control, and route planning while the GPU processes multi-camera feeds for spatial awareness.

Furthermore, for 3D health imaging, the processors can enable the powering of 3D imaging for ultrasounds, endoscopes, tissue classification, and tumor detection at the edge. This is done with models like U-Net, nnU-Net, and MONAI.

The processors then accelerate image-to-report workflows with MedSigLIP and support clinical reasoning and Q&A with Med-PaLM 2.