Full height, half length, PCIe Gen3 AI accelerator card based on Google® Coral Edge TPU processor, enabling AI-based real-time decision process at edge. Run multiple AI models at the same time.
XE-Series servers are purpose-built for accelerated computing—AI training, HPC, and large-model inference. They prioritize GPU density, bandwidth, power, and cooling to deliver faster time-to-insight
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Hardware Adaptability The Alveo UL3524 accelerator card can be deployed in 1U, 2U, and 4U servers—flexible for diverse server rack and form factor
Qualcomm is introducing new data center solutions, including the Dragonfly™ C1000 CPU, High Bandwidth Compute (HBC), and Dragonfly™ AI300 accelerator, alongside advanced
AI accelerator servers are optimized to handle the processing required for different types of AI workloads, but what they have in common is the need to scale and connect multiple cards in a
Designed with energy efficiency in mind, AI Accelerator PCIe Card is equipped with excellent thermal stability to achieve inference acceleration with multiple Edge
Today, we see applications emerging that use GPU hardware acceleration for AI workloads — including general AI compute, gaming/streaming, content creation
Geniatech offers AI accelerator cards and modules built for edge computing, delivering low-latency, power-efficient inference and scalable AI hardware
Designed to help you prepare for the agentic AI era, AMD Instinct MI350P PCIe cards are dual-slot drop-in cards for standard air-cooled servers. They are built to deploy inference on
NVIDIA Vera Rubin Ramps Into Full Production to Power Agentic AI Factories Worldwide The NVIDIA Vera Rubin is ramping into full production, with Taiwan''s
Performance That Drops into Your Existing Racks Designed to help you prepare for the agentic AI era, AMD Instinct MI350P PCIe cards are dual-slot drop-in cards for standard air-cooled
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Dragonfly delivers rack-scale data center AI inference at up to 8× better tokens/watt vs. GPU, powered by High Bandwidth Compute.
Qualcomm Dragonfly redefines data center architecture for the agentic era. Up to 8× better tokens/watt vs. GPU with integrated CPU and AI accelerators.
To simplify your AI processing/acceleration card design, our pre-engineered total system solution delivers critical capabilities and the high performance that AI applications require.
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Products are part of a multi-generation data center AI inference roadmap with an annual cadence. Qualcomm Technologies, Inc. today
Chinese GPU and AI chip makers captured nearly 41% of China''s AI accelerator server market last year, eroding Nvidia''s once-dominant position in
Taiwanese company unveiled its new PCIe AI accelerator card that can run 700B LLMs locally at just 240W, ending need for large GPU clusters.
Chinese GPU and AI chipmakers took about 41% of China''s AI accelerator server market in 2025, while Nvidia''s share fell to 55% from earlier dominance, IDC data reviewed by Reuters showed.
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First published on TECHNET on May 19, 2014 Storage Classification was introduced in System Center 2012 Virtual Machine Manager (VMM 2012) to provide the...
Boost AI, generative AI, and compute-intensive workloads with servers that offer a variety of powerful GPU accelerators.
Add powerful AI inference to any M.2-supporting device with the Hailo-8 M.2 module. A 26 TOPS AI processor module purpose-built for edge deployment.
NPU- and GPU-powered AI acceleration modules offer the fastest and simplest way to integrate AI into current edge computing platforms. These technologies provide advantages in throughput, latency,
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