Alternatives to Aethir

Decentralized cloud marketplace for compute resources, leveraging blockchain technology (DePIN).

Building the physical infrastructure and software layer for decentralized AI compute networks.

A blockchain-powered decentralized cloud platform providing GPU infrastructure for AI, media, and entertainment workloads.

Lambda provides on-demand and reserved cloud GPU instances for AI development and machine learning workloads.

Global leader in application-optimized Total IT Solutions for enterprise, cloud, AI, and 5G infrastructure.

Technology infrastructure and networking company providing enterprise solutions

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

Drut enables datacenter disaggregation via PCIe cards, MEMS switching, and coordination software.

AllScale provides a platform for distributed computing, enabling efficient execution of complex workloads across multiple machines.

Cloud infrastructure platform providing CDN, security, and web optimization services.

Affordable GPU cloud infrastructure for AI and machine learning workloads.

A deep learning infrastructure company providing GPU servers, workstations, and cloud services for training neural networks.

Digital infrastructure provider for AI and blockchain, specializing in high-performance computing.

Designs and sells high-performance cloud networking solutions for data centers and enterprise environments.

High-performance InfiniBand and Ethernet interconnect solutions for data centers.

Akamai provides a globally distributed cloud platform for content delivery, cybersecurity, and cloud computing.

A universal data platform for AI and analytics, offering high-performance flash storage and a data lakehouse architecture.

Platform for building, deploying, and scaling modern web applications instantly, offering a unified workflow for full-stack apps, APIs, data, and AI features.

Hailo develops AI processors for edge devices, enabling on-device generative AI.

WEKA is a data platform for AI and HPC workloads, delivering extreme performance for GPU clusters, genomics pipelines, and data-intensive applications.

nEye Systems develops optical circuit switches to eliminate bottlenecks in AI data center infrastructure.

Simplifies the deployment, governance, and operation of AI infrastructure at scale.

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

Indian conglomerate investing heavily in AI infrastructure and services.

A German company providing high-performance computing (HPC) infrastructure solutions for various applications, including Bitcoin mining and AI.

ScyllaDB is a high-performance, low-latency NoSQL database for data-intensive applications, designed to scale with modern infrastructure.

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

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

Global GPU cloud infrastructure

A global leader in delivering software for mission-critical intelligent systems at the edge.

AI-powered traffic management platform that transforms city traffic signals into a real-time intelligent network to reduce congestion, cut emissions, and improve road safety.

EdgeConneX builds and operates data centers at the edge of the network for hyperscale, content, and colocation providers.

Building scale-out networking solutions for AI data centers.

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

Cloud data platform for mission-critical workloads, delivering on-premises performance and security.

Open-source AI research lab training decentralized large language models on Solana blockchain

Revolutionizing AI training with distributed GPU orchestration for massive model development.

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

Provider of 5G and AI solutions on a single chip for edge networks.

Silicon photonics technology for hyperscale data centers and AI applications.

Accelerates software development by distributing compilation and other tasks across idle CPU cores on-premise and in the cloud.

A decentralized cloud computing platform providing high-performance GPU and CPU resources.

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

Qblox provides modular hardware and software solutions for scalable quantum computer control.

Develops integrated voltage regulators for high-efficiency power management in AI processors and data centers.

Quantum computing software platform for designing and optimizing quantum circuits.

A high-performance, dynamic programming language for technical computing.

Electrochemical Additive Manufacturing (ECAM) for high-resolution, scalable metal 3D printing.

Zadara provides a fully-managed edge cloud platform offering compute, networking, and storage services for enterprises and service providers.

Canonical develops and supports Ubuntu, a leading open-source operating system for cloud, servers, and edge devices.

CoreSite provides carrier-neutral data centers, colocation, and interconnection services.

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

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

Cloud and quantum-powered multiphysics simulation platform for faster R&D and product development.

CTERA Networks provides a distributed cloud file storage platform for enterprises, enabling secure data access and collaboration across global locations.

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

Driving quantum computing integration with high-performance computing.

Provides high-performance computing infrastructure and software for training and deploying large AI models.