Categories / Compute / Processors & AI Accelerators

Processors & AI Accelerators

22 enterprise products in the directory are classified under Processors & AI Accelerators. Compare them below, or open the full directory to filter by your whole stack.

  • AMD Adaptive SoCs and FPGAs

    AMD

    Integrates software and hardware programmability for unparalleled system performance, flexibility, and scalability in applications like data centers and networking.

  • AMD EPYC Processors

    AMD

    High-performance multi-core x86-64 microprocessors designed for server and embedded system markets. Offers high core counts and enterprise-grade features.

  • AMD Instinct Accelerators

    AMD

    Data center GPUs built on AMD CDNA architecture, designed to accelerate deep learning, AI, and high-performance computing (HPC) workloads.

  • AMD Radeon Graphics Cards

    AMD

    Graphics processing units (GPUs) for PCs and gaming consoles, offering advanced features for gaming, content creation, and AI applications.

  • AMD Radeon PRO Graphics

    AMD

    Professional graphics cards built for demanding creative, engineering, and AI applications, offering next-gen performance for workstation professionals.

  • AMD Ryzen Processors

    AMD

    x86-64 microprocessor family based on the Zen microarchitecture, offering a range of options for gaming, multitasking, and general computing.

  • ASUS Graphics Cards

    ASUS

    Essential for gaming, content creation, and demanding visual tasks, delivering powerful graphics processing.

  • Wafer Scale Engine (WSE)

    Cerebras

    The industry's largest AI processor, designed for ultra-fast AI training and inference with unparalleled compute, memory, and fabric bandwidth on a single wafer.

  • Graphcore IPU

    Graphcore

    Graphcore specializes in developing Intelligence Processing Units (IPUs), optimized for AI workloads. Lambda Labs provides GPU cloud infrastructure for training and deploying machine learning models. The deep platform in

  • GroqChip

    Groq

    Groq's flagship AI processor, powered by the LPU architecture, designed for extremely fast AI inference and low-latency interactions.

  • Language Processing Unit (LPU)

    Groq

    A custom-built processor architecture designed specifically for accelerating AI inference, particularly for large language models, offering high speed and efficiency.

  • Intel Xeon Scalable Processors

    Intel

    Intel provides high-performance computing solutions, including Xeon processors, optimized for computationally intensive workloads. Mobileye specializes in advanced driver-assistance systems (ADAS) and autonomous driving…

  • NVIDIA A100 Tensor Core GPU

    NVIDIA

    NVIDIA provides high-performance computing hardware, including GPUs optimized for AI and machine learning workloads. NVIDIA focuses on accelerating AI training and inference, enabling businesses to develop and deploy AI…

  • NVIDIA GPUs

    NVIDIA

    NVIDIA GPUs provide high-performance computing capabilities, ideal for research and simulation in EdTech. Amazon EC2 P4 instances provide access to NVIDIA GPUs in the cloud, enabling researchers to run complex simulation

  • NVIDIA Tensor Core GPUs

    NVIDIA

    NVIDIA Tensor Core GPUs provide accelerated computing for deep learning and AI workloads. TensorFlow is an open-source machine learning framework. Integrating NVIDIA GPUs with TensorFlow accelerates the training and infe

  • Nvidia Jetson AGX Orin

    NVIDIA

    Nvidia specializes in high-performance computing and AI. Their Jetson AGX Orin is a powerful platform for autonomous systems, providing accelerated computing for AI inference and robotics applications. It enables robots…

  • Nvidia RTX A6000

    NVIDIA

    Nvidia is a leader in GPU technology, providing high-performance graphics cards for VR. The RTX A6000 delivers exceptional rendering power for demanding VR applications. Nvidia empowers developers and users with the tool

  • Snapdragon XR2 Platform

    Qualcomm

    Qualcomm's Snapdragon XR2 Platform is a powerful mobile platform designed for VR and AR devices. It provides high performance, low latency, and advanced features for immersive experiences. Qualcomm empowers device manufa

  • SiFive P270

    SiFive

    A Linux-capable RISC-V processor with a 256-bit vector length, suitable for applications requiring vector processing and OS support.

  • SiFive P870-D

    SiFive

    Processor core architecture designed for data center applications, offering performance and power efficiency for AI infrastructure workloads.

  • SiPearl Rhea Processor

    SiPearl

    SiPearl designs high-performance, low-power processors for the European exascale supercomputing market. The Rhea processor is based on the Arm Neoverse architecture and is optimized for HPC workloads. SiPearl aims to co

  • Xilinx Versal AI Edge

    Xilinx

    Xilinx Versal AI Edge is a family of adaptive compute acceleration platforms (ACAPs) designed for edge computing applications. It provides high-performance compute capabilities with low latency and power consumption. It…

Related categories

  • Servers & AI Systems
  • Semiconductor IP
  • High Performance Computing (HPC)
  • Edge Computing
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