AI Infrastructure Companies for GPU Cloud and Compute 2026

Overclock Labs is a technology company based in San Francisco, founded in 2015. It is the creator and infrastructure provider for Akash Network, the first decentralized and open-source cloud marketplace. The company aims to build an open cloud for everyone, focusing on open-source development, decentralization, and user sovereignty. With a fully distributed global team of developers and blockchain experts, Overclock Labs operates with a size of 11-50 employees. The flagship product, Akash Network, is a decentralized peer-to-peer marketplace that allows companies with idle server capacity to offer their resources for cloud deployments. It functions similarly to "Airbnb for Cloud." Other offerings include the Akash Console, a web-based tool for managing deployments, the DISCO Platform for serverless computing, and the Supercloud, which provides users with access to cloud services while maintaining data ownership. Overclock Labs serves developers, enterprises, and compute providers, providing cost-effective alternatives to traditional cloud services.

Anyscale is an AI infrastructure company based in San Francisco, founded in 2019. It offers a fully managed compute platform designed for building, scaling, and deploying distributed AI and Python applications. This platform is built on the open-source Ray framework, which was co-created by the company's founders, Robert Nishihara, Ion Stoica, and Philipp Moritz, who are researchers from UC Berkeley. Anyscale's main offerings include the Anyscale Platform for end-to-end AI/ML lifecycle development, Anyscale Endpoints for quick deployment of ML models, and Anyscale Private Endpoints for secure, compliant solutions. The company also supports flexible deployment options, allowing customers to use its hosted cloud or deploy within their own cloud environments. Anyscale serves AI/ML teams, Python developers, and machine learning researchers, and is trusted by organizations like Canva, TripAdvisor, and OpenAI.

Astronomer is a technology company based in New York, specializing in data orchestration. Founded in 2015, it is the primary developer of Astro, a unified DataOps platform built on Apache Airflow. The company serves over 900 leading enterprises, providing solutions that simplify the deployment and management of data workflows. Astronomer's services include a fully managed SaaS application for data orchestration, which allows teams to build, run, and monitor workflows without the burden of infrastructure management. The platform offers enterprise features such as automated lineage tracking, cost monitoring, incident response, and robust security measures. With a focus on scalability, Astronomer supports large-scale data pipelines for analytics, AI, and machine learning operations, making it a trusted partner for organizations across various industries, including technology, finance, healthcare, and retail.

Axelera AI is a European AI semiconductor company based in Eindhoven, Netherlands. The company specializes in developing power-efficient AI acceleration hardware and software platforms for edge computing and data center applications, focusing on computer vision and generative AI inference. With over 200 employees across 17 countries, Axelera AI aims to democratize Edge AI by providing high-performance, cost-effective solutions that address energy and cooling challenges. The company's flagship offerings include the Metis™ AI Platform, which features the Metis AI Processing Unit (AIPU) and the Voyager SDK, as well as the Europa Platform for scalable AI inference in data centers. Axelera AI also recently unveiled the Titania™ chiplet, designed for high-performance computing. Their technology supports a wide range of industries, including defense, industrial manufacturing, retail, and robotics, catering to organizations that require efficient physical and edge AI capabilities.

Baseten is a San Francisco-based company founded in 2019 that specializes in AI inference infrastructure. It offers a cloud-native, serverless inference platform designed for high-scale AI products. This platform allows users to convert machine learning models into production-ready APIs with minimal code, enabling instant deployment of both open-source and proprietary models. Baseten's services include high-performance model serving, MLOps capabilities, and multi-cloud reliability, ensuring 99.99% uptime and enterprise-grade security. The company has experienced rapid growth, serving over 100 enterprises, including notable clients like Notion, Patreon, and Descript. With significant venture capital backing, including a recent $1.5 billion funding round, Baseten is positioned as a leader in the AI infrastructure market. Its mission is to make machine learning more accessible and valuable for engineering teams, facilitating the deployment of AI models with ease and efficiency.

BentoML is an enterprise-grade unified inference platform that simplifies the deployment, management, and scaling of AI models, including large language models and embeddings. Founded in 2018 and headquartered in San Francisco, California, BentoML operates under Modular after its acquisition. The platform is designed to empower organizations by abstracting complex infrastructure, allowing teams to build AI systems significantly faster while ensuring security, compliance, and data privacy across various cloud environments. BentoML offers a range of services, including an open-source Python library for building optimized online serving systems, a serverless managed cloud platform for AI applications, and tools for self-hosted large language model serving. The platform supports over 10,000 organizations, including more than 50 Fortune 500 companies, and has a vibrant open-source community. With features like elastic autoscaling, mission-critical reliability, and fine-grained performance tuning, BentoML is tailored for enterprise AI/ML teams and software engineers working in multi-cloud environments.

Blaize Holdings, Inc. is a semiconductor and software technology company based in El Dorado Hills, California. Founded in 2010, Blaize specializes in AI-enabled edge computing solutions, combining silicon and software to enhance artificial intelligence from the edge to the core. The company offers a full-stack hardware architecture and a no-code software platform, making it easier for users to implement AI without needing extensive technical expertise. Blaize's product portfolio includes the Graph Streaming Processor (GSP), which is designed for low-power, high-efficiency AI applications, and deployable AI computing platforms like Blaize Pathfinder and Xplorer. Their software offerings include the Blaize AI Studio, a visual platform for creating and deploying AI models, and the Blaize AI Software Suite, which supports various AI applications. Blaize serves multiple industries, including automotive, smart cities, retail, industrial automation, and enterprise security, focusing on simplifying AI deployment for non-expert users.

Cerebras Systems, Inc. is an innovative artificial intelligence infrastructure company based in Sunnyvale, California, with additional offices in San Diego, Toronto, Tokyo, and Bangalore. Founded in 2016, the company focuses on enhancing AI and deep learning workloads through its groundbreaking wafer-scale technology. Cerebras is known for creating the Wafer-Scale Engine (WSE), the largest and fastest AI processor, which integrates an entire silicon wafer into a single chip, significantly improving performance in AI training and inference. Cerebras operates a hybrid business model, offering high-performance AI supercomputers for on-premise solutions and cloud-based services. Their AI supercomputers, including the CS-2 and CS-3 systems, are designed for large-scale AI model training and real-time inference. The company also provides AI Inference Cloud and AI Training Cloud services, allowing users to access their advanced technology without the need for hardware investment. Cerebras serves various industries, including healthcare, pharmaceuticals, and cybersecurity, partnering with organizations like GSK and OpenAI to drive advancements in AI applications.

ClearML is an open-source AI infrastructure platform that offers a comprehensive MLOps and LLMOps solution for managing the entire machine learning lifecycle. Founded in 2016 and headquartered in Tel Aviv, Israel, with an office in Berkeley, California, ClearML enables enterprises to efficiently scale AI development and deployment. The platform supports experiment tracking, data and model versioning, pipeline orchestration, model deployment, and GPU cluster management, catering to data scientists, ML engineers, AI developers, and DevOps teams. ClearML serves a diverse range of customers, including Fortune 500 companies, academic institutions, public sector agencies, and innovative startups. The company operates on a subscription-based model and has raised significant funding from notable investors such as NVIDIA, Hyundai CRADLE, and Samsung Electronics. With a fully remote workforce of around 35 employees, ClearML emphasizes personal accountability, growth, and diversity while driving efficiency for AI teams across various industries.

Confluent, Inc. is a technology company based in Mountain View, California, that specializes in real-time data streaming. Founded in 2014 by the creators of Apache Kafka, Confluent offers a comprehensive cloud-native platform that connects applications, systems, and data layers, enabling organizations to leverage data-in-motion for innovation. The company became part of IBM in 2026. Confluent's key products include Confluent Cloud, a fully managed service for Apache Kafka, and Confluent Platform, which supports on-premises and cloud deployments. Other offerings include WarpStream, Apache Flink, and Confluent Intelligence, which provides AI-powered capabilities for real-time data streams. Confluent serves a diverse range of industries, including e-commerce, logistics, financial services, and autonomous vehicles, helping clients enhance digital customer experiences and streamline operations. The company also provides professional services, training, and certification programs to support enterprise adoption of its solutions.

CoreWeave is a cloud infrastructure company based in Livingston, New Jersey, specializing in GPU-accelerated computing for AI developers and enterprises. Founded in 2017, the company focuses on providing a robust platform that combines high-performance infrastructure with technical expertise to help innovators scale AI confidently. CoreWeave went public on Nasdaq in March 2025. The company offers a range of services, including cloud-based GPU infrastructure, CPU compute, networking services, and managed services. Its key products include the CoreWeave Cloud Platform for AI infrastructure orchestration, Local Object Transport Accelerator, and CoreWeave Kubernetes service. CoreWeave supports various specialized use cases such as visual effects rendering, machine learning, and high-performance computing. With data centers across the U.S. and Europe, CoreWeave serves a diverse clientele, including leading AI labs, global enterprises, and companies in the tech and entertainment sectors.

Crusoe is an energy-first AI infrastructure company that develops and operates large-scale, AI-optimized data centers powered by clean energy sources. Founded in 2018 in Denver, Colorado, Crusoe has transitioned from a cryptocurrency mining operation to one of the top GPU cloud providers in the United States, focusing on high-performance cloud computing for artificial intelligence. The company offers a vertically integrated platform that includes Crusoe Cloud, a specialized cloud platform for AI workloads, and modular data centers that utilize stranded energy sources. Crusoe also manufactures critical data center infrastructure through its Crusoe Industries division. With a mission to provide reliable and sustainable AI infrastructure, Crusoe partners with Fortune 500 companies and AI developers, playing a key role in major AI initiatives like OpenAI's Stargate project.

Determined AI is an automated deep learning platform that allows AI engineers to concentrate on model development instead of infrastructure management. The company, now part of Hewlett Packard Enterprise’s AI Solutions team, aims to democratize machine learning infrastructure and enhance deep learning capabilities. The core product, the Determined Platform, is an end-to-end solution that facilitates distributed training across multiple GPUs, automates hyperparameter tuning, and simplifies resource sharing among teams. It includes collaboration tools for experiment tracking and fault tolerance, all without the need for custom DevOps code. The platform is open-source, promoting a collaborative environment for machine learning at scale. Determined AI serves deep learning engineers and teams in various industries, including autonomous vehicles, drug discovery, and natural language processing. The platform is designed for domain experts who require efficient deep learning functionality without extensive engineering overhead.

Esperanto Technologies, Inc. is a semiconductor company founded in 2014, specializing in high-performance, energy-efficient computing solutions for AI, machine learning, and high-performance computing (HPC). Based in Mountain View, California, with engineering sites in Portland, Austin, Barcelona, and Belgrade, the company utilizes the open standard RISC-V instruction set architecture (ISA) to deliver exceptional performance per watt, focusing on data centers and edge computing applications. The company's primary product is the ET-SoC-1, a chip that integrates over 1,000 RISC-V cores, designed for high throughput in AI inference workloads while maintaining low power consumption. Esperanto has also introduced the first Generative AI Appliance based on RISC-V technology, allowing developers to create and deploy specialized applications with a focus on data privacy and cost efficiency. The company serves B2B customers in the semiconductor, high-tech, and AI infrastructure sectors, providing tailored solutions for machine learning and computationally intensive workloads.

Fireworks AI is a generative AI infrastructure platform that specializes in delivering fast inference and full-parameter training for open-source AI models. The platform enables enterprises and product developers to run, fine-tune, and share large language models (LLMs) efficiently and cost-effectively. Fireworks AI focuses on providing a unified solution for both training and inference, emphasizing speed, affordability, and quality. The core offering, the Fireworks Generative AI Platform, includes a fast and affordable inference service, model fine-tuning tools, full-parameter training capabilities, and a globally scaled cloud infrastructure. The platform is designed for product developers and enterprises, allowing them to optimize and deploy AI solutions quickly. Fireworks AI has received significant funding, raising $250 million in Series C funding, and has achieved triple ISO certification, showcasing its commitment to information security and responsible AI governance.

DolpStack is building the next generation of developer learning by bringing knowledge, collaboration, productivity, and AI into one unified platform. We believe developers shouldn't have to switch between countless tools to learn, document ideas, solve problems, organize resources, and collaborate with others. Our mission is to simplify that experience by creating a single ecosystem where everything developers need is connected. DolpStack combines interactive documentation, AI-powered learning, structured note-taking, debugging communities, multilingual support, resource management, collaborative workspaces, bookmarking, and productivity tools into one seamless platform. Every feature is designed to help developers spend less time managing workflows and more time learning, building, and innovating. Our vision goes beyond creating another developer tool. We aim to build a platform where students, professionals, educators, and technology enthusiasts can continuously learn, share knowledge, collaborate on ideas, and grow together. Behind every feature is a scalable architecture focused on performance, security, and an exceptional developer experience. Currently, DolpStack is in active development. While the public prototype showcases only part of our vision, significant work is happening behind the scenes, including backend infrastructure, APIs, authentication, AI integration, search optimization, and scalable system design. We are continuously iterating based on feedback to deliver a platform that truly solves real-world developer challenges. At DolpStack, we believe learning should be interactive, collaboration should be effortless, and great ideas deserve the right tools to thrive. Join us as we build the future of developer learning one feature, one iteration, and one developer at a time. 🚀

Genesis Cloud is a European cloud infrastructure provider that specializes in GPU cloud solutions tailored for enterprise AI, generative AI, and machine learning workloads. The company aims to support AI startups and empower businesses to maximize their data potential through scalable and efficient infrastructure. Operating fully green data centers powered by 100% renewable energy, Genesis Cloud is committed to sustainability in high-performance computing. Their GPU solutions deliver significant cost efficiency, offering high-performance compute power at up to 85% lower costs compared to other major cloud providers. The company is a member of the NVIDIA Partner Network and collaborates with various partners to enhance connectivity and support for AI developers. Genesis Cloud provides a range of services, including scalable GPU configurations, S3-compatible object storage, and specialized infrastructure for diverse workloads such as machine learning and IT security. Their target customers include AI startups and enterprises that require optimized solutions for demanding AI and HPC applications.

Golem Network is an open-source, decentralized platform that acts as a global supercomputer, allowing users to share unused computing power or rent additional resources. It creates a marketplace for computational resources, enabling tasks such as AI, rendering, and data analytics without relying on centralized cloud providers. The network operates on a modular protocol built on Ethereum, supporting anonymous applications and facilitating a trustless system for users to connect. The platform offers Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) through its decentralized blockchain stack. Key features include Yagna, the core service for Golem nodes, and a decentralized marketplace that connects providers and requestors for task execution. Golem also supports microservices, scientific simulations, and has a game engine for video game development. The native utility token, GLM, is used for transactions within the marketplace, allowing requestors to pay for resources while providers earn rewards. Golem Network serves a diverse range of users, including filmmakers, researchers, game developers, and AI professionals, providing a flexible alternative to traditional cloud computing services.

Groq, Inc. is an American artificial intelligence company founded in 2016 by former Google engineers Jonathan Ross and Douglas Wightman. The company specializes in developing the Language Processing Unit (LPU), a custom AI accelerator chip designed to provide ultra-fast and low-cost AI inference for developers and enterprises. Groq's mission is to simplify computing to enhance workloads in artificial intelligence, machine learning, and high-performance computing. The GroqCloud platform offers a fully managed, OpenAI-API-compatible inference cloud, allowing developers to easily transition from OpenAI with minimal code changes. It delivers fast responses and scalable performance across various deployment options. Additionally, Groq provides hardware solutions, including GroqRack Appliances and GroqChip, which are designed for on-premises deployment and optimized for machine learning tasks. Groq serves over 5 million developers and a range of industries, including finance, autonomous vehicles, industrial automation, cybersecurity, and scientific research, catering to Fortune 500 companies and notable clients like Aramco Digital.

Hailo Technologies Ltd. is an Israeli semiconductor company founded in 2017 and based in Tel Aviv. The company specializes in designing and manufacturing high-performance AI processors and accelerators for edge devices. Hailo aims to make advanced AI technology accessible outside of data centers, providing data center-class performance in a compact form. Hailo's core product line includes the Hailo-8, Hailo-10, and Hailo-15 chip families, which support real-time deep learning applications with low power consumption and cost. The Hailo-10, launched in early 2024, enhances edge devices with generative AI capabilities. Hailo also offers a Software Development Kit (SDK) and an end-to-end software solution to aid integration. The company serves over 300 customers across various sectors, including automotive, security, industrial automation, and personal computing, with a growing focus on drones and robotics. Hailo has a global presence with offices in multiple countries and a network of distributors worldwide.

Kneron is a semiconductor and artificial intelligence company focused on edge AI solutions. Founded in October 2015 and headquartered in San Diego, California, Kneron also has development operations in Taipei, Taiwan, and China. The company aims to enable AI inference directly on devices, reducing reliance on cloud services. Kneron serves various industries, including semiconductors, IoT, autonomous vehicles, and smart infrastructure. Kneron offers integrated hardware and software solutions, featuring custom AI System-on-Chips (SoCs) with proprietary Neural Processing Units (NPUs) for efficient real-time processing. Their technology includes reconfigurable artificial neural networks and a suite of visual recognition SDKs and deep learning libraries. The KneoEdge™ infrastructure suite provides enterprises with a private AI deployment solution. With significant funding and a global workforce, Kneron is positioned for growth in the edge AI market.

Kubeflow is a nonprofit, open-source project founded in 2017 by Google, with contributions from a wide range of technology leaders including Cisco, IBM/Red Hat, Microsoft, and AWS. Headquartered in Sunnyvale, California, Kubeflow serves as a foundation for AI and Machine Learning (ML) platforms on Kubernetes, providing a cloud-native MLOps platform that simplifies the management of ML workflows. The platform includes several integrated subprojects, such as Kubeflow Notebooks for interactive development, Kubeflow Pipelines for orchestrating ML workflows, and KServe for scalable model serving. Kubeflow supports various ML frameworks and integrates seamlessly with cloud platforms like AWS, Google Cloud, and Azure. Its mission is to enable ML engineers and data scientists to leverage cloud assets effectively, ensuring portability and scalability without vendor lock-in. Kubeflow is backed by a global community of over 200 developers and is adopted by major enterprises for production-grade ML operations.

Lambda Inc., operating as Lambda.ai, is a prominent artificial intelligence infrastructure company based in the United States. Founded in 2012, Lambda focuses on GPU-based compute solutions tailored for training, fine-tuning, and inference of large-scale machine learning models. The company is known for its specialized cloud services, referred to as "The Superintelligence Cloud," which provide high-performance access to NVIDIA GPUs and dedicated tooling for AI engineers. Lambda offers a range of services, including on-demand cloud GPU services, pre-configured AI hardware, and a curated software distribution known as Lambda Stack. Their infrastructure supports various compute modalities, from laptops to hyperscale data centers. With a commitment to transparency and cost-efficiency, Lambda serves a diverse clientele, including Fortune 500 companies, research institutions, and AI startups, all benefiting from its specialized focus on AI workloads. The company has experienced significant growth, raising substantial funding and achieving impressive revenue milestones.

Latitude.sh is a global bare metal cloud platform that enables developers and infrastructure operators to deploy and manage high-performance physical servers quickly through an easy-to-use API and dashboard. Founded in 2001 and headquartered in Sao Paulo, Brazil, the company operates in 15 strategic locations worldwide, serving thousands of customers. The main product offered by Latitude.sh is bare metal servers, which include dedicated CPU servers, NVMe-backed storage, and NVIDIA-powered GPU clusters tailored for AI and data-intensive workloads. The company also provides a cloud automation platform for instant server deployment, global private backbone infrastructure for network connectivity, physical colocation services in Brazil, and security products like DDoS protection. Latitude.sh primarily serves developers, generative AI companies, enterprises, startups, and the crypto sector, focusing on high-performance computing, blockchain workloads, and gaming applications.