Computers
AMD’s Big AI Push: Why it might matter more to you than you think
From AMD’s Advancing AI 2025 event
Most of us don’t spend our days thinking about server racks or GPU specs. But if you’ve ever used ChatGPT, scrolled through AI-edited reels, or relied on AI to write your next email — AMD’s recent AI announcements are setting the stage for your digital future.
At its “Advancing AI 2025” event, AMD basically said: we’re all in on AI. They emphasized that they are building it to be open, accessible, and powerful across the board. That means better hardware for developers. But also smarter, more energy-efficient systems that could one day power the apps and devices you already use.
So… what exactly did AMD launch?
The headliner? A new generation of AI chips — the AMD Instinct MI350 series. These GPUs promise 4x more performance for training massive AI models. And up to 35x gains in inference (that’s the part where AI tools like ChatGPT figure out what to say next). That’s tech speak for: faster, more powerful, and potentially more affordable AI in real-world use cases. In fact, AMD claims these chips deliver 40% more tokens-per-dollar compared to the competition — a clear shot at Nvidia.
They also teased their next-gen “Helios” racks, coming with the even more powerful MI400 Series GPUs and Zen 6-based EPYC CPUs — all geared to handle newer, more complex AI tasks at scale. Again, this might sound like infrastructure talk (because it is), but if you’re a creator, gamer, streamer, or anyone who relies on AI daily, the ripple effect is real.
What makes this different?
While a lot of AI systems today are closed ecosystems — meaning they lock you into one platform — AMD’s big play is openness. Their tech is built around industry standards and open-source tools. They even rolled out ROCm 7, their latest AI software stack, which makes it easier for developers to build tools and applications that could eventually land on your phone, laptop, or smart assistant.
In other words: it’s not just about big tech companies anymore — it’s about bringing everyone along.
So how does this reach you?
It already is. AMD’s hardware is powering AI workloads at Meta (think: Llama 3/4), OpenAI, Microsoft Azure, and others. These are the platforms training the very models behind your AI-generated art, TikTok filters, or voice assistant’s new tricks. The new MI350 chips are also being adopted by Oracle Cloud. With clusters that scale into the zettascale range (yes, that’s a real term).
Plus, the AMD Developer Cloud is now available globally — giving creators, students, and startups access to real AI muscle, without needing their own data centers.
Energy-efficient, too?
AMD’s not just flexing performance. They’re bragging that their MI350 chips helped them beat a 5-year goal to improve energy efficiency by 30x. They hit 38x. By 2030, they want to train models that today take 275 racks… in just one. Using 95% less power.
That’s sustainability goals meeting hardcore AI ambition.
TL;DR: AMD is advancing AI. They’re trying to reshape how it’s built and who gets to use it. Even if you don’t speak GPU, you’ll likely feel the difference in the way your apps, content, and devices run smarter, faster, and greener in the near future.
Computers
CIPTA debuts AI GPU server, edge workstation at CloudFest 2026
Malaysia-made AI infrastructure
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
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.
GIGABYTE and Capcom have collaborated for a limited time Resident Evil Requiem-inspired custom PC giveaway.
The setup is inspired by the title, which recently released, and includes an exclusive monitor game bundle to bring players closer to the experience.
Headlining the collaboration is the Umbrella Corporation — Level 3 Access custom rig giveaway. It is one of a kind, fully-built desktop featuring a Z890M AORUS ELITE WIFI7 ICE motherboard and RTX 5080 AERO OC SFF graphics.
Of course, it draws inspiration from the visual identity and atmosphere of Resident Evil Requiem. It also features a GIGABYTE C102 GLASS ICE chassis design and custom GIGABYTE MO27Q28G gaming monitor to complete the setup.
The giveaway runs from March 2 to March 31 via the official campaign website. Fans can enter for a chance to win the custom rig, with no purchase necessary. The only caveat is that they have to be a United States or Canada resident.
Such experience is designed to invite players and PC enthusiasts alike to engage with the collaboration while highlighting GIGABYTE’s premium hardware craftmanship and attention to detail.
In addition to the giveaway, GIGABYTE is also offering a Resident Evil Requiem game bundle with select gaming monitors. Included are AORUS brand monitors, ranging from 27 to 55 inches in size.
This bundle is available until March 31. Customers who purchase eligible models can redeem a digital game code through GIGABYTE’s official redemption platform.
The featured monitor is the MO27Q28G, which has fourth generation WOLED panel with 280Hz refresh rate and 0.03ms response time. It is an ideal monitor to experience the spine-chilling terror and death-defying action of the title.
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