Other Components Asus

GX601 ROG Strix Helios HDD Cage KitTwo bay 3.5 HDD cage kit for the Strix Helios series. The trays are tool-less drive tray design for 3.5" drives, simply attach them to the tray and slide them into the cage without using tools or screws. The 3.5-inch drive trays can accommodate 2.5-inch drives but you would need to use screws to secure them in place. The design ideal is for use with ROG Strix Helios cases which end users request to support more storage demand. Type3.5"/2.5" HDD/SSD FrameFits inAsus Strix Helios CasesDesigned for3.5" or 2.5" drivesScrews are needed to secure 2.5" drives in placeMaterialSteel, ABS Plastic, RubberWeight/Dimensions370g(LxWxH) 168 x 117 x 83 mmPackage Contents1 …

Power-up your RAID
- New two-phase power solution with up to 14 Watt output supports the latest NVMe drives
- Large heatsink reduces M.2 SSD temperatures for unthrottled transfer speeds and enhanced reliability
- Support for up to four PCIe® 3.0 M.2 drives with transfer bandwidth up to 128Gbps
- Intel VROC technology and AMD Ryzen Threadripper support enables creation of bootable NVMe RAID arrays using CPU PCIe lanes     RAID on CPU Hyper M.2 x 16 card V2 is compatible with Intel® Virtual RAID on CPU (VROC) and the AMD Ryzen™ Threadripper™ platform for NVMe RAID support. Unused CPU PCle® lanes can be assigned to storage allowing …

Unlocking Speed: Dive into the Power of Asus Hyper M.2 x16 Gen 4 Card Introduction The Asus Hyper M.2 x16 Gen 4 Card emerges as a groundbreaking solution for storage enthusiasts, offering unparalleled capabilities in expanding storage and maximizing data transfer speeds. Let's delve into the key features that make this card a game-changer for those seeking high-performance storage solutions. Unmatched NVMe RAID Support The ASUS Hyper M.2 x16 Gen 4 Card is designed to support four NVMe M.2 devices with a maximum bandwidth of 256 Gbps. Whether you're on an AMD TRX40/X570 PCIe 4.0 NVMe RAID or an Intel® platform RAID-on-CPU, this card ensures seamless data transfers, thanks to its two-phase power s…

ASUS Hyper M.2 x16 Gen5 Card (PCIe 5.0/4.0) supports up to four NVMe M.2 (2242/2260/2280/22110) devices at up to 512 Gbps for RAID functions across diverse CPU platforms
- 1 x 6-pin PCIe power connector and two-phase power solution with up to 14-watt output to support the latest NVMe drives
- Large heatsink and active fan reduces M.2 SSD temperatures for unthrottled transfer speeds and enhanced reliability; additional fan cable connects to the motherboard's chassis fan header to allow the motherboard to control and regulate fan speed
- Adapted server-grade PCB supports up to four PCIe 5.0/4.0 M.2 drives with up to 512 Gbps bandwidth for smooth data transfers   …

The robust ROG Herculx Graphics Card Holder securely fortifies even the most powerful cards, plus offers an easy-to-use design and extensive compatibility. Stand design is compatible with a variety of chassis and doesn’t occupy PCIe slots. Offers a support height of 72-128 mm, delivering a strong, adaptable design. Supports NVIDIA GeForce RTX 40 series graphics cards. An adjustable wheel and release button enable easy, toolless setup and removal. Included spirit level simplifies setup. Embedded 3D ARGB element is compatible with Aura Sync. Pillar of StrengthThe ROG Herculx packs the structural integrity to bear the burden of even the heaviest graphics card. Toolless installation, precision …

ASUS ThunderboltEX 4 interface cards/adapter Internal Mini DisplayPort, PCIe, Thunderbolt, USB 2.0, USB 3.2 Gen 2 (3.1 Gen 2)

AI accelerator (NPU):- ASUS Tinker Edge R is an Single Board Computer (SBC) specially designed for AI applications. It uses Rockchip NPU, a Machine Learning (ML) accelerator that speeds up processing efficiency, lowers power demands and makes it easier to build connected devices and intelligent applications. With this integrated Machine Learning (ML) accelerator, the Tinker Edge R is capable of performing 3 tera-operations per second (TOPS), using low power consumption. And it's optimized for Neural Network (NN) architecture, which means Tinker Edge R can support multiple Machine Learning (ML) frameworks and let lots common Machine Learning (ML) models can be easily compiled and run on the Tinker …