Alternatives to NVIDIA Corp

Broadcom is a global technology leader designing, developing, and supplying semiconductor and infrastructure software solutions.

Leading semiconductor manufacturer designing and producing microprocessors for computing devices.

Semiconductor company designing wireless technologies and mobile device processors.

Global leader in GPUs and AI hardware, powering data centers, gaming, and autonomous systems.

Marvell Technology is a global leader in data infrastructure semiconductor solutions, enabling the movement, processing, storing, and securing of the world's data.

Industry-leading AI infrastructure for ultra-fast AI inference and training powered by Wafer-Scale Engines.

Building a fault-tolerant quantum computer using photonics and silicon manufacturing.

Develops optical chips and software for AI computing, accelerating computations with light.

Developing the Omni Processing Unit (OPU) that unifies CPU, GPU, memory, and connectivity for AI workloads.

Velaura AI develops ultra-low power silicon and software technologies for AI infrastructure, focusing on energy efficiency for data centers and physical AI applications.

A leading semiconductor manufacturer providing advanced chip manufacturing services.

Designs, develops, manufactures, and sells high-performance, high-efficiency server and storage technology and green computing solutions.

Develops AI and Deep Learning processors for data centers and cloud environments.

Custom silicon design and manufacturing for advanced networking and data center applications.

Designs and licenses RISC-V based custom processor cores and IP for diverse applications.

Groq develops a high-performance AI inference chip and compiler for ultra-low latency AI applications.

A chip startup focused on solving AI's memory bottleneck with memory-centric solutions.

Fabless semiconductor company developing advanced data center storage solutions.

Rethinking compute architectures for future processing needs with novel VLSI designs.

Neurophos develops photonic AI chips (OPUs) for extreme efficiency and performance in AI compute.

Anello Photonics delivers resilient, high-precision navigation solutions for GPS-denied environments using proprietary SiPhOG™ technology.

Developing photonic computing and interconnect technology to accelerate AI infrastructure and improve energy efficiency.

Develops scalable, extreme-bandwidth optical interconnects for data centers and AI clusters using comb laser technology.

Develops low-energy AI processors with spatial dataflow architecture for extended device operation.

Quantum processor company developing and scaling modular quantum processors.

Advanced semiconductor integration and packaging for high-performance computing and AI.

Develops the C200 Analytics Processing Unit (APU), an ASIC for massive-scale analytics.

Semiconductor startup developing novel DSP innovations for AI-driven networks and data centers.

Silicon photonics technology for hyperscale data centers and AI applications.

Semiconductor hardware company accelerating data analytics query processing speed and scale.

Developer of high-performance RISC-V CPU cores and chiplets for data centers and AI.

Expedera provides scalable Neural Processing Unit (NPU) semiconductor IP for edge AI inference.

Teramount provides scalable silicon photonics packaging for AI infrastructure and data centers.

Reinventing chip design with physics-inspired AI models.

A Japanese advanced semiconductor manufacturer focused on developing and mass-producing next-generation 2nm logic chips.

Developing advanced quantum sensing solutions for semiconductor inspection.

Etched is building the hardware for superintelligence by burning the transformer architecture into their chips.

Fabless semiconductor company designing and licensing graphics IP for embedded systems.

South Korean semiconductor company designing AI accelerator chips and software for LLMs and multimodal AI.

Developing a new network switch architecture to break through AI networking bottlenecks.

Designs high-performance AI processors and RISC-V based compute solutions.

Co-packaged optics for higher bandwidth and lower power data transmission.

Annapurna Labs invents the next generation of cloud computing infrastructure, focusing on compute, machine learning, storage, and networking.

d-Matrix develops high-performance AI compute platforms and chips designed for efficient inference of large language models and generative AI workloads.

Develops Wideband Signal Processing solutions for AI, quantum computing, and next-gen technologies.

Designs and manufactures ultra-low power microcontrollers and processors for IoT and wearable devices.

Develops optical co-processing accelerators for high-speed, energy-efficient computation.

Develops high-performance AI accelerators and computing solutions for intelligent data centers and edge devices.

AI chip startup focused on energy-efficient inference acceleration, acquired by AMD.

Touch develops advanced semiconductor solutions for immersive and interactive experiences.

Develops model-specific AI chips that hardwire AI models directly into silicon for improved performance and efficiency.

Designs AI-specific processors (IPUs) for machine learning and AI workloads.

Ncodin develops optical interposer technology with integrated nanolasers to overcome the limitations of traditional copper interconnects for AI.

NVIDIA is a global leader in accelerated computing, pioneering GPU-accelerated computing for gaming, professional visualization, data centers, and autonomous machines.

Ouster is a lidar manufacturer that has acquired StereoLabs, specializing in vision-based perception systems, to create a unified sensing and perception platform for advanced physical AI systems.

Building industrial hardware from the atoms up using AI.

Inuitive is a fabless semiconductor company developing multi-core vision processors for 3D imaging and computer vision applications.

Develops AI chips for edge computing, enabling AI processing on devices.

AI infrastructure startup developing memory-dense servers to overcome the 'memory wall' in AI.