Computing
Intel | AMD | ARM
Desktops ~ Laptops ~ Printers ~ Servers ~ Networking
With over 20 years experience, we pride ourselves on providing you with the best, cost-effective hardware that suits your needs.
We supply all makes of hardware with the best prices.
Today’s leading trading firms, market makers, hedge funds, and exchanges demand low latency trade execution and risk management for competitive advantage. For traders seeking a plug-and-play NIC upgrade, quants seeking computational offload to accelerate their algorithms, or partners seeking ultimate flexibility to build their own fintech solutions, our new range of low latency network adapters and accelerator cards offers both turnkey deployment or custom implementation paths.
Low latency networking solution with high port density (up to 4x 10/25G)
Optimized architecture for reliable operation and trade execution
Support for full kernel bypass using Onload®, TCPDirect, and ef_vi API
GRAID | CEPH | NVME
SupremeRAID™ next-generation GPU-accelerated RAID removes the traditional RAID bottleneck to deliver the full performance value of NVMe SSDs for PCIe Gen 3, 4 or 5 servers.
SupremeRAID™ is a software defined solution deployed on a GPU for maximum SSD performance without consuming CPU cycles. Unlike traditional RAID, which bottlenecks performance and reduces ROI on NVMe SSD spend, SupremeRAID™ employs unique out of path RAID technology, so data travels directly from CPU to storage to deliver maximum SSD performance, comprehensive data protection, and unmatched flexibility.
Flexible & Future Ready
SupremeRAID™ revolutionary AI eliminates the traditional RAID bottleneck by pulling SSD resources from a remote JBOF to provision a storage volume for your high performance applications.
Free-Up CPU Resources
SupremeRAID™ shoulders all the IO processing and RAID computation burden, freeing-up your precious CPU resources for other applications, increasing your productivity and reducing costs.
Plug & Play
Unlike traditional hardware RAID cards, SupremeRAID™ doesn’t require extra cabling to connect SSD disks to the RAID card, eliminating the costs of refactoring your existing hardware system, and avoiding another potential point of failure.
Supports a Variety of NVMe Interfaces
SupremeRAID™ can be used with U.2, M.2 or even AIC NVMe interfaces, making SupremeRAID™ the most versatile NVMe SSD RAID card in the world.
User Friendly & Easy to Manage
SupremeRAID™ leverages its powerful computing and software capabilities to achieve up to 40x performance gain compared with a traditional RAID card without memory caching, eliminating the need for backup battery modules.
Microsoft
Microsoft 365 | One-Drive | SharePoint | Azure
Linux
Ubuntu | CentOS | Red Hat | SUSE | Mint
DPU Programming
A DPU is a new class of programmable processor that combines three key elements. A DPU is a system on a chip, or SoC, that combines:
An industry-standard, high-performance, software-programmable, multi-core CPU, typically based on the widely used Arm architecture, tightly coupled to the other SoC components.
A high-performance network interface capable of parsing, processing and efficiently transferring data at line rate, or the speed of the rest of the network, to GPUs and CPUs.
A rich set of flexible and programmable acceleration engines that offload and improve applications performance for AI and machine learning, zero-trust security, telecommunications and storage, among others.
FPGA Programming
The applications for FPGAs are vast. Today, they’re used in data center, aerospace engineering, defense, artificial intelligence (AI), industrial IoT (internet of things), wired and wireless networking, automotive, and countless other industries. Such devices are often in environments where users need real-time information. For example, a home security camera needs to relay instant images to the homeowner’s smart devices—with high resolution and minimal latency. These expectations will only increase as consumers become more reliant on instant information at their fingertips.
FPGAs also assist in acceleration of functions that would otherwise be done in software. That makes FPGAs a helpful tool for offloading performance-heavy tasks, such as deep neural networks (DNN) inference for artificial intelligence.
GPU Programming
GPU Programming is a method of running highly parallel general-purpose computations on GPU accelerators.
While the past GPUs were designed exclusively for computer graphics, today they are being used extensively for general-purpose computing (GPGPU computing) as well. In addition to graphical rendering, GPU-driven parallel computing is used for scientific modelling, machine learning, and other parallelization-prone jobs today.
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