AI Hardware

Discover the backbone of AI innovation with AI Hardware designed to power advanced applications and workflows. From high-performance GPUs and AI chips to robotics hardware and IoT devices, these solutions provide the infrastructure needed for seamless AI execution. Explore our curated selection of vendors offering cutting-edge hardware tailored to your needs. Equip your business with the right AI hardware today!

NVIDIA

NVIDIA is a leading provider of graphics processing units (GPUs) and AI hardware solutions. Their advanced GPUs, such as the A100 and H100, are widely used for AI training and inference tasks, offering exceptional performance and scalability. NVIDIA's hardware accelerates deep learning applications across various industries, including healthcare, automotive, and finance.

Intel

Intel is a global technology company that designs and manufactures essential components for computing devices. Their AI hardware offerings include the Intel® Nervana™ Neural Network Processors and Intel® Movidius™ Vision Processing Units, which provide efficient performance for deep learning and computer vision applications. Intel's hardware solutions are integrated into various AI workloads, from data centers to edge devices.

Cerebras Systems

Graphcore

AMD (Advanced Micro Devices)

Huawei

Huawei is a global technology company that has expanded into the AI hardware market with its Ascend series of AI processors. These processors are designed for both training and inference tasks, aiming to provide high-performance computing solutions for various AI applications. Huawei's focus on AI hardware development is part of its broader strategy to enhance its capabilities in the AI domain.

Graphcore is known for its Intelligence Processing Unit (IPU) technology, specifically designed for AI and machine learning workloads. Their IPUs offer high parallelism and efficient execution of AI models, providing significant performance improvements over traditional processors in certain AI tasks.

Cerebras Systems specializes in AI hardware, notably developing the Wafer Scale Engine (WSE), the largest chip ever built. The WSE powers their CS-2 system, designed to accelerate AI model training with unprecedented speed and efficiency, enabling researchers to tackle complex deep learning challenges.

AMD develops high-performance computing and visualization products, including GPUs and CPUs optimized for AI workloads. Their Radeon Instinct series offers accelerators designed for deep learning and HPC applications, providing flexible and scalable solutions for AI development and deployment.

SiMa.ai

BrainChip

SambaNova Systems

Tenstorrent

SiMa.ai is building an ultra-low-power software and chip solution for machine learning at the edge. Their hardware is designed to deliver high-performance machine learning capabilities with minimal energy consumption, making it suitable for edge devices that require efficient processing power.

Founded in 2011, BrainChip is a company that develops software and hardware to accelerate artificial intelligence and machine learning. Their products help developers build and run complex AI applications and systems more efficiently. BrainChip offers advanced AI processor chips that rapidly process data, reducing reliance on traditional graphics cards or cloud servers.

SambaNova Systems is a Palo Alto-based AI startup founded in 2017, specializing in developing hardware-software systems designed to power generative AI workloads from data centers to the cloud. In 2023, the company announced the release of its latest AI chip, SN40L, demonstrating its commitment to advancing AI chip technology.

Tenstorrent is a computing company that develops AI processors designed to facilitate faster training and adaptability to future algorithms. Their hardware solutions aim to provide high-performance and energy-efficient processing capabilities, catering to the growing demands of AI workloads. Tenstorrent has attracted significant investments, highlighting its potential in the AI hardware industry.