Alternatives to Qualcomm AI Stack

The platform for on-device AI, with optimized open source and licensed models, or bring your own. Validate performance on real Qualcomm devices.

A suite of services for building, deploying, and managing machine learning models on Google Cloud.

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

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

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

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

AI computing company providing programmable edge AI hardware and software solutions.

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

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

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

Canadian fabless semiconductor company specializing in low-power analog AI compute-in-memory chip technology for edge devices.

AI chipmaker

Oculi is a provider of AI-based sensor processors.

Logarithmic computing for AI inference.

Full-stack edge AI solutions enabling on-device AI inference with integrated hardware and software.

Develops power-efficient AI processors for automotive ADAS and connected devices.

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

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

Edgecortix develops AI-powered hardware accelerators for efficient edge AI inference.

Global leader in autonomous driving technology and ADAS chips, providing vision-based sensing and AI software for vehicles worldwide.

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

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

Spectral Compute provides a platform for developing and deploying AI models on specialized hardware.

Pioneers edge AI with neuromorphic computing, offering complete AI solutions from silicon to software.

A leading semiconductor manufacturer providing advanced chip manufacturing services.

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

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

Developing an AI chip with integrated optical components for faster and more efficient AI inference.

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

Develops ultra-low-power AI chips for real-time deep neural network inference on edge devices.

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

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

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

Touch develops advanced semiconductor solutions for immersive and interactive experiences.

Breakthrough speaker-in-chip technology for ultra-compact, high-quality audio experiences.

AI chipmaker

Developing Beam Weaver, a next-generation 3D radar-on-a-chip for enhanced vehicle safety and intelligence.

Reduces computer-vision AI cost and power consumption for edge and cloud deployments.

TYLsemi is a chiplet-first silicon company focused on AI infrastructure, delivering production-ready chiplets for connectivity, power, and efficiency to accelerate custom AI accelerator design.

Rebellions is a South Korean fabless semiconductor startup designing high-performance AI chips for data centers and edge devices.

FMC develops advanced, energy-efficient memory chips for AI applications.

Semiconductor startup designing AI-as-a-Service infrastructure for cloud, edge, and fog.

A semiconductor company focused on AI chips.

AI chip company developing specialized hardware for edge AI inference.

Develops the world's smallest AI training chip that outperforms large GPUs.

Pioneering on-device AI for cameras, enabling intelligent features on edge devices.

Global technology company renowned for its GPUs, SoCs, and APIs, driving advancements in AI, gaming, and high-performance computing.

Cambricon designs and develops AI chips and solutions for various applications.

AI software company optimizing deep learning models for edge devices.

The compiler, kernel, and runtime stack between physical-AI workloads and heterogeneous silicon for faster world-model serving.

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

Designs, manufactures, and sells computer components, primarily microprocessors and chipsets.

Memories.ai is an AI-powered visual memory platform that analyzes video content to extract meaningful insights, building the foundational visual memory layer for AI to see, remember, and understand video.

AI networking infrastructure company building open-standard, full-stack solutions for AI training and inference.

Tesla is an electric vehicle and clean energy company that is increasingly focused on AI and robotics.

Leading semiconductor manufacturer designing and producing microprocessors for computing devices.

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

Impala AI provides an inference engine for enterprises to scale AI efficiently and affordably.