Top 50 Ai Accelerator Hardware in LATAM

EnCharge AI develops high-efficiency analog in-memory computing GPUs and digital AI accelerators for edge-to-cloud deployment. Their validated hardware and flexible software offer significant improvements in performance, TCO, and sustainability compared to traditional solutions. The company provides versatile products from chiplets to PCIe cards, enabling seamless orchestration for on-device and cloud AI inference.

The startup develops deep sub-threshold analog in-memory computation semiconductors that execute data-center-grade AI workloads with significantly lower power consumption and no active cooling. This technology processes data within memory, enabling industries to efficiently handle complex tasks while minimizing energy use.

Ambient Scientific develops ultra-low power AI microprocessors, such as the GPX10, specifically designed for on-device edge computing applications. These processors utilize proprietary architecture to accelerate neural networks while consuming minimal power, enabling years of always-on AI functionality from a single battery. This technology reduces reliance on cloud infrastructure, offering lower latency and enhanced data privacy for sensor fusion, audio, and vision tasks.

DeGirum develops an AI Hub that integrates hardware and software infrastructure to streamline the development and deployment of edge AI applications. By providing a unified software toolchain and flexible hardware options, it reduces time to market and minimizes costs associated with multiple hardware and application investments.

D-Matrix has developed Corsair, an AI inference platform that achieves 60,000 tokens per second with 1 ms latency for Llama3 8B models, significantly enhancing throughput and energy efficiency in datacenters. This technology addresses the high computational costs and energy consumption associated with large-scale AI inference, enabling organizations to scale their AI capabilities sustainably.

Moffett AI provides a high-performance AI computation platform designed to optimize and accelerate machine learning workloads. It addresses the challenges of scalability and efficiency in data processing, enabling faster model training and deployment for enterprises.

Falcon Computing Solutions offers FPGA acceleration solutions designed for compute-intensive data center applications, enhancing processing speed and efficiency. Their technology addresses the demand for high-performance computing by enabling scalable and seamless integration into existing infrastructure.

This startup designs and develops high-performance FPGA (Field-Programmable Gate Array) products, including programmable FPGA fabrics and discrete FPGAs with hardwired system-level blocks. Their offerings, such as data center and HPC hardware accelerator boards, provide high bandwidth and low latency for various applications.

Provides scalable neural processor unit (NPU) semiconductor IP with a packet-based architecture that enables parallel execution of AI workloads, achieving up to 90% processor utilization. This approach reduces memory overhead, power consumption, and latency while supporting complex AI models across edge devices in industries like mobile, automotive, and industrial automation.

Astera Labs develops semiconductor-based connectivity solutions, including PCIe over optics and smart fabric switches, to enhance the scalability and efficiency of AI and cloud infrastructure. Their technology addresses the challenge of optimizing resource management in data centers, enabling higher GPU cluster utilization and improved performance.

Celestial AI develops the Photonic Fabric™, an optical interconnect technology that enhances data transfer speeds and reduces latency in AI computing and memory infrastructure. This technology addresses the limitations of traditional interconnects by enabling high-bandwidth, low-latency connections essential for processing extensive AI workloads efficiently.

Baya Systems develops customizable, software-driven System IP solutions for chiplet-based semiconductor systems, enabling efficient data movement and high-performance computing. Their technology addresses the complexity and cost of delivering scalable, modular architectures by providing a unified fabric that supports advanced cache coherency and optimized throughput for diverse applications.

The startup develops customized semiconductors based on an open instruction set architecture, enabling system designers to create tailored microprocessors efficiently. This approach reduces time-to-market and lowers costs for companies needing specialized silicon solutions.

Nuvia designs high-performance processors optimized for compute-intensive applications through advanced silicon architecture, significantly enhancing processing speed and energy efficiency. The company provides a solution for the increasing demand for computational power in data centers and high-performance computing environments.

Ampere Computing designs high-performance data center processors, including the Ampere Altra and AmpereOne families, which feature up to 192 cores optimized for cloud-native applications. These processors deliver significant price-performance advantages, achieving up to 50% better efficiency compared to traditional x86 architectures, while addressing the growing demand for scalable and sustainable computing resources.

Marte provides a privacy-first AI ecosystem and infrastructure, offering scalable API access to frontier language models optimized for enterprise speed, privacy compliance, and cost-efficiency. They are also developing symbolic AI engines for explainable, deterministic, and edge-deployable AI, with their first engine already live for embedded AI use cases.

Exo develops handheld ultrasound devices integrated with artificial intelligence for imaging and therapeutic applications in medical settings. These devices enhance diagnostic accuracy and treatment efficiency, addressing the need for portable and user-friendly imaging solutions in healthcare.

GRAID Technology offers SupremeRAID™, a GPU-based RAID solution that maximizes SSD performance for AI and machine learning workloads by eliminating traditional RAID bottlenecks and offloading RAID processing from the CPU. This technology enables up to 28 million IOPS and 260 GB/s throughput while supporting 32 native NVMe drives, enhancing data protection and system efficiency without the need for battery backup modules.

Tuya provides an IoT development platform that enables manufacturers to create and deploy smart products efficiently using its TuyaOS and App SDK. The platform addresses the challenge of lengthy product development cycles by offering a flexible, cost-effective solution that accelerates time-to-market for connected devices.

Maven Robotics develops highly capable autonomous industrial robots that integrate strength, adaptive dexterity, and fluid mobility. These robots utilize advanced physical AI to safely operate alongside human workers, significantly boosting productivity in manufacturing and logistics environments. The platform is designed for cost-efficiency, making advanced automation accessible to businesses of various sizes.

The startup has developed a patent-pending AI software solution that optimizes memory usage in computing environments, functioning seamlessly across on-premises and cloud configurations without requiring changes to the operating system or applications. This technology significantly reduces computing costs by enhancing efficiency in both virtualized and containerized settings.

Logimind is a wireless 5G home automation startup that utilizes artificial intelligence to enhance smart home functionality. The company provides seamless control and monitoring of household devices, improving energy efficiency and user convenience.

Pronto develops off-road autonomous haulage systems (AHS) engineered for deployment in rugged industrial environments like mines and quarries. This OEM-agnostic system retrofits existing fleets using camera and GNSS technology, avoiding expensive lidar and radar hardware. The AHS improves site productivity, lowers operational costs, and enhances safety by ensuring consistent vehicle operation and eliminating labor-related downtime.

NVIDIA is a computing platform company that specializes in high-performance computing (HPC), graphics processing, and artificial intelligence (AI) technologies. Their solutions enable industries to perform complex simulations and data analysis efficiently, enhancing computational capabilities for applications ranging from gaming to scientific research.

Flexiv Ltd. develops adaptive robots that combine industrial-grade force control with artificial intelligence to perform tasks in complex environments, mimicking human capabilities. Their solutions provide customizable automation for various applications, enhancing efficiency in manufacturing and assembly processes.

BlackCube Labs provides AI tools and a platform for artists and businesses to generate unique digital artworks and enhance creative workflows. Their advanced prompt engineering tools transform textual and visual ideas into generative art, streamlining the creation process.

The startup specializes in artificial intelligence and computer vision technologies to enhance robotic systems for various applications. Their solutions address the challenges of automation in complex environments, improving operational efficiency and accuracy in tasks such as object recognition and navigation.

ZAP Surgical Systems manufactures the ZAP-X radiosurgery platform, a self-shielded system that utilizes linear accelerator technology for non-invasive cranial radiosurgery without the need for costly radiation bunkers or live radioactive sources. This technology expands access to high-quality treatment for the estimated five million patients worldwide who are candidates for radiosurgery, significantly increasing the number of patients who can receive care.

Zeto offers a wireless, dry electrode EEG headset designed for hospital use, eliminating the need for gel application and extensive preparation. This technology enables rapid and efficient brain activity monitoring, improving patient comfort and streamlining clinical workflows.

Rivos develops high-performance, power-efficient server solutions based on RISC-V architecture, utilizing workload-defined hardware to optimize performance for enterprise applications. The company addresses the need for secure and efficient computing in data centers, enabling businesses to enhance their operational efficiency and reduce energy consumption.

MuvaDrones utilizes photogrammetry, aerial robotics, and artificial intelligence to create detailed 3D models and conduct automated inspections for construction and infrastructure projects. This technology enhances measurement accuracy and operational efficiency, addressing the need for precise data collection and analysis in complex environments.

Syos develops IoT and AI solutions for real-time monitoring of temperature and humidity in the pharmaceutical and food distribution sectors, utilizing wireless sensors that provide data every five minutes. This technology minimizes manual processes and alerts users to dangerous variations, helping to prevent product loss and ensure quality throughout the supply chain.

DeepAgro utilizes generative AI for real-time weed detection and selective spraying, significantly reducing agrochemical usage by up to 90% based on weed density in soybean crops. Their platform also integrates agricultural data, enabling farmers to monitor crop health and optimize resource allocation efficiently.

Provides software-defined imaging radar systems that use radio waves to detect and track objects' distance, speed, direction, and vertical height in all environmental conditions, including through barriers and in complete darkness. This technology enables autonomous systems to create detailed, real-time spatial maps and monitor movement with high accuracy, overcoming limitations of optical sensors in challenging environments.

IBBX offers an industrial IoT solution that utilizes proprietary long-range, low-cost data transmission and self-recharging devices powered by environmental energy. This technology enables real-time data collection and predictive maintenance, enhancing operational efficiency and sustainability across various industries.

UltraSense Systems develops multi-mode touch sensing technology that replaces mechanical buttons in automotive and consumer electronics with solid-state interfaces, enhancing design flexibility and reducing weight. Their solutions improve user interaction by providing customizable haptic feedback and illumination, while minimizing the complexity and volume of traditional human-machine interfaces.

This startup provides a platform that integrates with existing video surveillance systems to deliver real-time analytics on metrics such as dwell time and cellphone usage. By utilizing AI-driven insights, it enhances security and productivity for businesses in Latin America, helping to prevent theft and accidents.

This company develops co-processors utilizing biological neurons as an alternative to traditional silicon-based computing. Their neuron systems offer adaptable architecture, stable power consumption, and high fault tolerance compared to fixed transistor systems. These bio-processors are applied across security, military, and agriculture sectors for advanced sensory detection and analysis.

Salva Health develops a portable screening device that utilizes artificial intelligence to detect breast abnormalities, providing women in remote areas with access to early cancer detection. This technology addresses the lack of affordable and safe screening options, aiming to reduce breast cancer mortality rates globally.

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Stattus4 develops IoT-based pressure monitoring systems and AI-driven analytics to detect water leaks and consumption inconsistencies in distribution networks. Their solutions help municipalities and water utilities reduce water loss, optimizing resource management and enhancing operational efficiency.

The startup provides information technology facilities as a service, focusing on service customization, optimization, inventory management, and financial control. This enables organizations to eliminate hardware issues, allowing them to concentrate on their core operations and enhance overall efficiency.

This company provides IT equipment leasing services, offering notebooks, tablets, and desktops to businesses seeking flexible technology access. They manage the entire lifecycle, including maintenance, support, and asset management via a proprietary platform. This model allows clients to maintain updated hardware while optimizing cash flow and reducing environmental impact.

The startup operates an environmental monitoring platform that utilizes robotics, IoT, and artificial intelligence to collect and analyze data for the energy industry. This technology enables companies to reduce operational costs and environmental impact by facilitating faster, data-driven decision-making.

Gennie is a generative AI platform that accelerates the product development process by over 10 times, utilizing advanced methodologies in Design Thinking and innovation processes. It addresses the lengthy time-to-market challenge by refining concepts early in the development cycle, enabling businesses to validate ideas more efficiently.

SVATech provides a programmable smart vision system that utilizes embedded software for video analysis, storage, and transmission, compatible with most existing cameras. This technology reduces inspection and monitoring costs by up to 90% while enhancing security and operational efficiency through automated surveillance and customizable solutions.

The startup develops chip technology that integrates big data analytics and heterogeneous computing to enhance the functionality of the Internet of Things. This technology enables industries, such as automotive and healthcare, to incorporate artificial intelligence into their products and services, improving operational efficiency and decision-making capabilities.

Made provides an AI‑driven operating system that ingests real‑time telemetry from PLCs, sensors and vision systems to model normal line behavior and predict anomalies before they cause downtime. The platform delivers actionable operator instructions via web, WhatsApp or API and supports either low‑latency edge inference on NVIDIA Jetson devices or cloud‑based inference on existing industrial PCs, while tracking OEE and ensuring secure data handling.

metaBIX develops advanced computational tools for accelerating drug discovery pipelines. The platform integrates machine learning models with high-throughput screening data to predict compound efficacy and toxicity profiles. This capability allows pharmaceutical researchers to rapidly identify viable therapeutic candidates with optimized physicochemical properties.

SiFly offers long-endurance drone systems with AI-powered software and cloud connectivity for various industries. Their solution enables efficient data collection, logistics, and operational support in sectors like agriculture, infrastructure, and public safety.