RTX PRO in the Data Center NVIDIA RTX PRO data center GPUs combine accelerated AI and graphics capabilities with the enterprise features necessary
AI Server Market Update: Vendors Shift from Silicon to Services Dell, HPE, Lenovo, and Supermicro are riding record AI server demand, but winning enterprise customers requires more
Tech Industry Manufacturing Semiconductors Intel''s roadmaps examined — 14A, Nova Lake, Diamond Rapids & AI accelerator push Features
In 2026, organizations of all sizes—from startups deploying edge AI to enterprises scaling massive generative AI models—are turning to hardware
AI hardware and chip-making companies constantly advance products to keep up with the competition. Here is a look at the 10 top companies in 2026.
AI servers, including those deployed in high performance computing (HPC) environments, frequently incorporate discrete hardware accelerators such as
Real-time ray tracing and AI for advanced design and visualization Modular reference architecture for building accelerated data center servers High-speed
AI accelerator servers are optimized to handle the processing required for different types of AI workloads, but what they have in common is the
Comprehensive guide to AI hardware accelerators in 2026. Explore Nvidia Blackwell, AMD Instinct, custom silicon, cloud AI chips, and how to choose the right hardware for AI workloads.
NVIDIA MGX is a modular server architecture built to power AI, HPC, and cloud-scale workloads. With flexible support for multiple generations of CPUs and
Business and Technology Insights and Trends AI''s Influence Runs Deeper Than You Think — 2026 Gartner Strategic Predictions Explain Why Understand them to
ONNX Runtime Execution Providers ONNX Runtime works with different hardware acceleration libraries through its extensible Execution Providers (EP) framework to optimally execute the ONNX models on
AI Accelerator Global Market Report 2026 - AI accelerators are specialized hardware or software designed to enhance and optimize artificial intelligence computations, providing significant
IBM announced the upcoming general availability of the IBM Spyre Accelerator, an AI accelerator enabling low-latency inferencing to support
Hailo-8 M.2 AI Module is an AI accelerator compatible with NGFF M.2 form factor. Based on a 26 TOPS processor with high power efficiency.
In 2Q25, servers accounted for 98% of the total AI Centric spending, growing 173.2% compared to the same period last year. Servers with an embedded accelerator are the preferred
The Instinct MI350Ps are dual-slot drop-in cards for standard air-cooled servers, with users able to slot the hardware into their existing stack.
Lenovo sets the stage for the new era of AI with a suite of purpose-built enterprise servers, solutions and services for AI inferencing workloads.
Hardware-accelerated BitLocker Microsoft is introducing hardware-accelerated BitLocker on new Windows 11 devices starting in spring 2026. In
Fedora continues working on enabling the AMD ROCm accelerated PyTorch for Fedora. Long-term Fedora wants to make it easy to run PyTorch on
ASA''s GPU server platforms, powered by NVIDIA''s Data Center GPUs, deliver unprecedented acceleration and flexibility for AI, data analytics, and HPC
Tech Industry Chinese GPU maker Cambricon''s Q1 revenue hits $423 million as country''s homegrown AI chip market accelerates — Chinese chipmakers continue to leech market
Taiwanese company unveiled its new PCIe AI accelerator card that can run 700B LLMs locally at just 240W, ending need for large GPU clusters.
While traditional servers rely mostly on CPUs, AI servers lean heavily on graphics processing units (GPUs) and similar AI accelerators that are purpose
Boost AI, generative AI, and compute-intensive workloads with servers that offer a variety of powerful GPU accelerators.
Taiwan''s listed AI hardware companies collectively generated $69.7 billion in March 2026 revenue across 13 supply-chain segments — up 63% year-over-year — offering the most
Products are part of a multi-generation data center AI inference roadmap with an annual cadence. Qualcomm Technologies, Inc. today
Servers with an embedded accelerator are the preferred infrastructure for AI platforms, accounting for 91.8% of the total server AI infrastructure spending—growing 207.3% in the second
To demonstrate the combined benefits of both the advanced hardware and software products, including full end to end orchestration, Dell and
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