Top 50 Ai Gpu Cloud in Latin America

EnCharge AI develops a scalable analog in-memory computing platform that enhances AI performance by achieving 20 times higher efficiency and 10 times lower total cost of ownership compared to traditional GPU solutions. This technology enables on-device processing, significantly reducing CO2 emissions and ensuring data privacy while making advanced AI accessible beyond cloud infrastructure.

Ambient Scientific develops the GPX10, an ultra-low power AI microprocessor designed for on-device applications, enabling years of operation on a single coin cell battery. This technology addresses the limitations of cloud dependency by providing efficient, always-on AI capabilities for battery-powered edge devices, enhancing data privacy and reducing operational costs.

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.

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.

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.

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.

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.

The startup offers a cloud-based marketing platform that utilizes AI to provide businesses with qualified lead databases and tailored campaign strategies. This approach enables companies to enhance customer acquisition and generate new sales opportunities without relying on invasive automation techniques.

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.

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.

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.

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.

The startup offers an application-aware Multi-Cloud Networking (MCN) platform that optimizes data traffic across multiple cloud environments. This technology enhances application performance and reliability by providing real-time visibility and control over network resources, addressing issues of latency and connectivity in distributed cloud architectures.

Cloud Humans offers a managed platform that connects businesses with self-employed service and sales professionals, streamlining workforce management. By utilizing AI-driven chatbot technology, Cloud Humans reduces support ticket volume and response times, allowing teams to focus on more complex customer inquiries.

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.

Digibee offers an AI-native integration platform that enables organizations to connect applications, data, and AI efficiently, reducing integration development time by up to 75%. Its consumption-based pricing model and zero-operations approach minimize costs and operational burdens, allowing teams to focus on innovation.

Qdrant provides an open-source vector search database that enables high-performance similarity searches for high-dimensional data, facilitating the development of applications for matching, searching, and recommending. By efficiently processing embeddings from neural networks, Qdrant allows businesses to leverage unstructured data for enhanced data analysis and personalized user experiences.

Clumio provides a serverless, agentless platform for autonomous backup and recovery of AWS data, ensuring data immutability and air-gapped storage to protect against ransomware and operational disruptions. By optimizing backup processes, Clumio helps enterprises reduce storage costs by over 30% while maintaining compliance with stringent data regulations.

This startup utilizes artificial intelligence to optimize logistics operations, aiming to reduce the global production of trucks. By enhancing supply chain efficiency, the company helps businesses improve customer satisfaction and lower operational costs.

Acquora utilizes satellite imagery and AI-driven analytics to optimize water resource management for businesses, enabling real-time monitoring and predictive insights. This technology helps organizations reduce operational costs and environmental impact while enhancing sustainability practices.

Aurascape develops generative AI-powered cybersecurity solutions that protect organizations from evolving cyber threats and data leaks. Their technology enhances compliance and security measures, ensuring robust defense mechanisms tailored for the challenges of the AI era.

Eliyan manufactures semiconductor interconnects using its NuLink™ PHY technology, which enables the creation of large System-in-Package (SiP) designs on standard packaging. This technology enhances AI performance by up to 10 times and increases bandwidth, power efficiency, and SiP size by up to four times, effectively addressing the limitations imposed by the memory wall in chiplet-based systems.

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.

PuppyGraph is a graph query engine that allows users to query relational data directly from data lakes and warehouses without the need for ETL processes. By enabling real-time graph analytics across multiple data sources, it eliminates data duplication and reduces system complexity, facilitating efficient data exploration and insights.

The startup has developed a decentralized video platform that utilizes blockchain technology and a native protocol token to create an algorithmic market for cloud-based video services. This platform captures unused computing capacity from third-party data centers, enabling users to earn tokenized rewards for their contributions to video content processing.

ONSTOQ provides a unified platform for managing multi-cloud infrastructure, offering comprehensive visibility and control. It streamlines operations by enabling intelligent resource allocation for cost optimization, performance enhancement, and strengthened security posture.

deal.ai is an AI platform that provides tools for businesses to establish and expand AI marketing and software consulting agencies, utilizing white-label solutions for custom software branding. The platform addresses the need for accessible, integrated AI tools that enhance marketing effectiveness and streamline agency operations, enabling users to create tailored marketing materials and software solutions efficiently.

StepZen offers a GraphQL server that enables developers to create APIs with minimal coding, significantly reducing the complexity and time involved in API development. This allows teams to prioritize feature delivery over infrastructure management, enhancing overall productivity.

The startup operates an educational platform that provides technical training in artificial intelligence and data science, utilizing an active learning methodology to enhance students' technical and soft skills. This approach enables students to engage directly with the innovation ecosystem, addressing the gap in traditional education that often neglects practical skill development.

The startup is a learning platform that connects software developers to collaboratively create digital products through shared coding environments and version control systems. This approach addresses the challenge of fragmented development efforts by facilitating real-time collaboration and knowledge exchange among developers.

Deepen AI provides a safety-first suite of AI data tools for annotation, calibration, and validation tailored for autonomous systems. Their technology enhances the accuracy and speed of data processing while ensuring compliance with industry standards, addressing the critical need for reliable data in the development of safe autonomous vehicles.

Dreams Latam provides cloud gaming software that enables users to play high-performance PC games on any device, including low-spec computers and mobile devices. This technology allows gamers to bypass hardware limitations, ensuring a seamless gaming experience regardless of their device's specifications.

Netris provides VPC networking software that automates the management of network infrastructure across on-premises, edge, and bare metal environments, enabling dynamic multi-tenancy and isolation for cloud services. This technology simplifies the deployment of essential networking constructs, such as load balancing and NAT gateways, while reducing operational complexity and costs for cloud operators.

The startup develops an all-in-one AI platform that integrates knowledge engineering into large enterprises through data engineering, customized models, and content creation tools. This technology enables businesses to optimize operations and drive growth by effectively managing and utilizing their data resources.

Begen is a platform that connects businesses with specialized AI developers, enabling efficient access to AI solutions while reducing development costs. It addresses the challenge of AI adoption by providing a controlled environment for companies to implement AI-driven innovations and streamline their operations.

The startup offers an AI-driven platform that connects businesses with suitable partners throughout their innovation journey. By leveraging machine learning algorithms, it enhances strategic collaboration, enabling companies to identify and engage with startups that align with their specific needs.

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.

DoiT offers multicloud management solutions that leverage intelligent automation to optimize cloud resource allocation and cost efficiency. By providing expert insights and analytics, DoiT helps organizations minimize cloud spending while maximizing operational performance.

A Bright is creating a cloud platform that enables gamers, creators, and businesses to utilize high-performance virtual machines for gaming, content creation, and application development. This platform eliminates the need for expensive hardware upgrades by providing on-demand access to powerful computing resources, allowing users to run demanding applications and games seamlessly from any device.

Ai Bruna utilizes artificial intelligence to optimize production processes across various industries by predicting raw material characteristics and enhancing operational efficiency. The platform reduces production costs, energy usage, and waste while improving product quality and profitability through data-driven decision-making.

RealCloud offers an AI-driven CloudOps platform that automates and optimizes cloud workloads by integrating FinOps, SecOps, and DevOps practices. The platform provides automated infrastructure management, cost optimization, and security compliance to enhance cloud availability and performance.

SIENTIA™ is an AIOps platform that enables the seamless deployment of AI models in Operational Technology environments, transforming Proofs of Concept into production-ready solutions. By integrating industry data, SIENTIA™ accelerates AI scalability and operational efficiency for heavy-asset industries, delivering measurable results in under one second of inference time.

The startup offers a cloud-native application protection platform that integrates runtime monitoring, automated remediation, cloud security posture management, and data loss prevention to secure cloud environments and data in real-time. This solution enables organizations to protect their cloud, container, and data assets without the need for agent installations or sidecars.

The startup develops AI-powered applications that enhance decision-making by analyzing large datasets and providing actionable insights. This technology enables organizations to make data-driven choices more efficiently, reducing uncertainty and improving operational outcomes.

Skie.io provides a data science-driven platform for continuous cloud optimization, utilizing AI and machine learning algorithms to analyze resource usage and identify cost-saving opportunities. Organizations can achieve up to 50% reduction in public cloud expenses through automated remediations and a performance-based pricing model that charges only for realized savings.

The startup operates a resource-saving platform that dynamically adjusts cloud savings plans based on real-time computing requirements. This technology helps clients optimize their cloud expenditures while ensuring efficient resource allocation.

Cactus.cloud provides a platform that automates the setup and management of IT infrastructure on AWS, enabling startup founders and IT professionals to deploy resources such as databases, storage, and microservices quickly and efficiently. By streamlining operational processes, the platform reduces cloud service costs and accelerates time to market, allowing teams to focus on product development and innovation.

The startup utilizes artificial intelligence to enhance procurement processes by automating supplier selection and contract management. This technology reduces operational inefficiencies and minimizes costs associated with traditional procurement methods.

DataSpoc offers a NoCode AutoML platform that enables businesses to rapidly create proprietary AI models, reducing development time by up to 83% and costs by 80% compared to traditional data science teams. The platform automates data preparation, model training, and deployment, allowing companies to leverage data-driven insights for improved decision-making without the need for extensive technical resources.

CPS1 is a Cloud Development Environment platform that operates on Kubernetes, streamlining the development workflow by automating the management of cloud resources and eliminating the need for complex local setups. It addresses delays in feedback and testing by providing on-demand, isolated workspaces that allow developers to run, share, and review code in real-time without relying on CI/CD pipelines.