What Are the Top Neocloud and GPU Cloud Providers in 2026?
Leading neocloud and GPU cloud providers in 2026 include CoreWeave, Lambda, Crusoe, Nebius, Nscale, Fluidstack, TensorWave, and GMI Cloud. These companies provide GPU computing infrastructure for AI model training, inference, fine-tuning, and high-performance computing, with specialized cloud platforms designed for increasingly demanding AI workloads.
Neocloud and GPU Cloud Providers in 2026 at a Glance
| Category | Details |
|---|---|
| Year | 2026 |
| Geographic coverage | North America, Europe, Asia-Pacific and global markets |
| Main sectors | GPU cloud, neocloud infrastructure, AI training, inference, HPC and sovereign AI |
| Leading neocloud providers | CoreWeave, Crusoe, Lambda, Nscale, Nebius, Fluidstack |
| AMD-focused GPU cloud | TensorWave, Hot Aisle |
| Developer GPU clouds | RunPod, Vultr, Thunder Compute, JarvisLabs |
| Regional and sovereign providers | Scaleway, Neysa, Yotta, SoftBank, HIGHRESO |
| GPU marketplaces | Vast.ai, TensorDock, Shadeform, Spheron |
| Inference platforms | Together AI, Fireworks AI, Modal, Baseten, Gimlet Labs |
| Major technologies | NVIDIA H100, H200, B200, B300, AMD Instinct, GPU clusters, InfiniBand, liquid cooling |
Major Neocloud Funding and GPU Infrastructure Developments in 2026
Neocloud providers expanded GPU computing capacity, secured financing, announced infrastructure partnerships, and introduced new AI cloud services during 2026.
| Company | 2026 development | Source |
|---|---|---|
| CoreWeave | Announced plans for 240 MW of AI cloud capacity in Navi Mumbai, India, in October | CoreWeave |
| Crusoe | Announced an initial $3.9B Series F closing at a $30.9B valuation in September | Crusoe |
| Nscale | Raised $2B in Series C equity funding in March and announced $3.36B in convertible financing in September | Series C, Convertible financing |
| Lambda | Closed a $1B secured debt financing facility in October to support contracted GPU deployments | Lambda |
| Nebius | Announced a $775M GPU-backed financing facility in July and a sovereign AI partnership with Palantir in September | Nebius |
| Fluidstack | Publicly confirmed an $830M Series A, completed in January and announced in July | Fluidstack |
| TensorWave | Raised $350M in Series B funding to expand AMD-powered AI computing infrastructure | Magnetar |
| Firmus | Announced a fully subscribed $2B strategic equity investment in August to accelerate its AI factory expansion | Firmus |
| GMI Cloud | Announced $668M in financing, comprising $223M in equity and a $445M credit facility | GMI Cloud |
| Verda | Announced $189M in new funding in September to scale its full-stack AI cloud | Verda |
| Lightning AI / Voltage Park | Completed a merger in January, combining AI development software with dedicated GPU infrastructure | Lightning AI |
| Sharon AI | Announced successful delivery of an initial GPU cloud deployment under a five-year customer agreement | Sharon AI |
| WhiteFiber | Commercially launched WhiteFiber Continuum, connecting GPU clusters across two data centers | WhiteFiber |
| RunPod | Opened a new GPU cloud region in India in September | RunPod |
| HIVE Digital / BUZZ HPC | Signed a five-year GPU cloud services agreement worth approximately $350M | HIVE |
| Scaleway | Announced new GPU infrastructure in Denmark and Sweden in October | Scaleway |
| SoftBank | Announced its AI Data Center GPU Cloud offering for Japan, targeting October availability | SoftBank |
| Thunder Compute | Raised $13M in Series A funding to expand GPU virtualization infrastructure | Thunder Compute |
| Together AI | Raised $800M in Series C funding in July | Together AI |
| Modal | Raised $750M in Series D funding in October | Modal |
| Gimlet Labs | Raised $300M in Series B funding to scale its multi-silicon inference cloud | Gimlet Labs |
The developments above include equity financing, debt facilities, multi-year customer contracts, completed deployments, and planned infrastructure capacity. These are different forms of business activity and should not be interpreted as equivalent funding rounds or operational capacity.
List of Neocloud and GPU Cloud Providers in 2026
The companies below are organized by their primary offerings. Dedicated neoclouds operate AI-focused compute infrastructure, while regional GPU providers, rental marketplaces, and inference platforms offer different ways to access accelerated computing resources.
AI-First Neoclouds and Dedicated GPU Computing Companies
| Company | Main area |
|---|---|
| CoreWeave | Specialized AI cloud and GPU supercomputing |
| Crusoe | AI cloud, data centers and energy infrastructure |
| Lambda | Dedicated GPU clusters and AI computing |
| Nscale | Full-stack AI cloud and hyperscale infrastructure |
| Nebius | AI-native cloud and GPU computing |
| Fluidstack | Large-scale GPU cloud infrastructure |
| TensorWave | AMD-powered AI cloud |
| Firmus | AI factories and dedicated computing infrastructure |
| IREN | AI cloud and energy-backed computing |
| GMI Cloud | NVIDIA GPU cloud and inference infrastructure |
| Verda | Full-stack GPU cloud infrastructure |
| RunPod | On-demand GPUs and serverless computing |
| Vultr | GPU cloud and bare-metal infrastructure |
| Lightning AI (Voltage Park) | GPU cloud and AI development platform |
| WhiteFiber | Distributed GPU superclusters and AI cloud |
| Sharon AI | AI factories and dedicated GPU infrastructure |
| Sustainable Metal Cloud | Liquid-cooled GPU computing infrastructure |
| Genesis Cloud | GPU cloud for AI and HPC |
| Cirrascale | Dedicated GPU cloud infrastructure |
| Gcore | AI cloud, GPU computing and edge infrastructure |
| VESSL AI | AI training and GPU cloud orchestration |
| NexGen Cloud | European GPU computing infrastructure |
| Hyperstack | NVIDIA GPU clusters and AI cloud |
| Denvr Dataworks | GPU cloud and AI computing systems |
| HIVE Digital Technologies | BUZZ HPC GPU cloud infrastructure |
Regional, Sovereign and Specialized GPU Cloud Providers
| Company | Main area |
|---|---|
| Scaleway | European AI cloud and GPU infrastructure |
| OVHcloud | European GPU cloud and dedicated servers |
| Neysa | Indian AI cloud and sovereign GPU infrastructure |
| Yotta Data Services | Indian AI cloud and GPU computing |
| E2E Networks | Indian NVIDIA GPU cloud |
| GreenNode | GPU cloud and AI infrastructure in Southeast Asia |
| HIGHRESO | Japanese GPU cloud and AI computing |
| Sakura Internet | Japanese cloud and GPU infrastructure |
| SoftBank | Japanese neocloud and GPU data center services |
| Civo | Cloud-native GPU and Kubernetes infrastructure |
| UpCloud | European cloud and GPU computing |
| Hetzner | Dedicated GPU servers and cloud infrastructure |
| Pi Datacenters | GPU cloud and enterprise data center services |
| Utho | Indian GPU cloud and enterprise computing |
| Cyfuture | GPU cloud and managed AI infrastructure |
| KONST / Glows.ai | GPU clusters and on-demand cloud computing |
| Hot Aisle | AMD-based GPU cloud infrastructure |
On-Demand GPU Rental Platforms and Compute Marketplaces
| Company | Main area |
|---|---|
| Thunder Compute | GPU virtualization and on-demand computing |
| Vast.ai | GPU rental marketplace |
| Hyperbolic | Decentralized and on-demand GPU computing |
| JarvisLabs | GPU instances for machine learning |
| TensorDock | GPU cloud marketplace and virtual machines |
| Cudo Compute | Distributed GPU computing infrastructure |
| Massed Compute | GPU cloud and dedicated compute |
| NodeShift | GPU cloud marketplace and AI workloads |
| Qubrid | GPU cloud and AI development infrastructure |
| Valdi | On-demand GPU rental |
| Oblivus | GPU cloud and accelerated computing |
| Exabits | Decentralized GPU cloud |
| io.net | Distributed GPU computing network |
| SaladCloud | Distributed GPU infrastructure |
| Aethir | Decentralized enterprise GPU cloud |
| Nosana | Decentralized GPU inference computing |
| Prime Intellect | Distributed AI training infrastructure |
| Shadeform | GPU marketplace and cloud aggregation |
| GPU.ai | GPU compute discovery and aggregation |
| Spheron Network | GPU rental and decentralized compute |
AI Inference, Serverless GPU and Managed Model Compute Platforms
| Company | Main area |
|---|---|
| Together AI | Open-model training and inference |
| Fireworks AI | AI inference cloud and model optimization |
| Modal | Serverless GPU computing |
| Baseten | Production AI inference infrastructure |
| DeepInfra | Managed model inference APIs |
| fal | Generative media inference infrastructure |
| Groq | Specialized high-speed AI inference |
| Cerebras | Wafer-scale AI inference cloud |
| SambaNova | AI inference systems and cloud services |
| Replicate | Cloud-based model deployment APIs |
| Beam.cloud | Serverless GPU execution |
| Cerebrium | Serverless AI inference infrastructure |
| Anyscale | Distributed AI computing with Ray |
| Koyeb | Serverless AI application deployment |
| Gimlet Labs | Multi-silicon inference cloud |
Neocloud and GPU Cloud Provider Company Profiles
CoreWeave
CoreWeave operates a specialized AI cloud designed for large-scale model training, inference, and accelerated computing. Its infrastructure combines NVIDIA GPU clusters, high-performance networking, and cloud-native software. In October 2026, CoreWeave announced plans to expand into India through a 240 MW deployment with AdaniConneX.
Crusoe
Crusoe develops vertically integrated AI infrastructure combining data center development, energy systems, and cloud computing. Its Crusoe Cloud platform supports GPU-intensive AI workloads, while the company builds large-scale AI facilities. In September 2026, Crusoe announced the initial closing of a $3.9 billion Series F funding round.
Lambda
Lambda provides GPU cloud infrastructure for AI researchers, developers, and enterprises. Its services include on-demand GPU instances, dedicated clusters, and large-scale computing environments for training and inference. In October 2026, Lambda closed a $1 billion secured financing facility to support contracted GPU deployments.
Nscale
Nscale develops full-stack AI cloud infrastructure spanning GPU clusters, networking, data centers, and orchestration software. Its platform serves hyperscalers, enterprises, and AI developers. In 2026, Nscale raised $2 billion in Series C funding and announced $3.36 billion in additional convertible financing for infrastructure expansion.
Nebius
Nebius operates an AI-native cloud platform providing GPU computing, managed infrastructure, and inference services. The company develops its own cloud technology and integrates hardware and software for AI workloads. In 2026, Nebius expanded its financing arrangements, announced a partnership with Palantir, and introduced more flexible GPU pricing options.
Fluidstack
Fluidstack develops and operates large-scale GPU infrastructure for frontier AI labs and technology companies. Its services focus on dedicated compute clusters and rapid infrastructure deployment. In July 2026, Fluidstack publicly confirmed an $830 million Series A financing round completed earlier that year.
TensorWave
TensorWave operates an AI cloud built around AMD Instinct GPU accelerators. Its infrastructure targets memory-intensive training, large language models, and production inference. In June 2026, TensorWave raised $350 million in Series B funding to expand its AMD-powered computing infrastructure.
Firmus
Firmus develops energy-efficient AI factories and dedicated computing infrastructure across Asia-Pacific. Its Project Southgate initiative combines GPU computing, data center systems, and energy-aware facility design. In 2026, Firmus announced major financing agreements and expanded its contracted compute capacity through hyperscale customer partnerships.
IREN
IREN develops and operates computing infrastructure supported by renewable electricity resources. Its AI cloud activities include GPU clusters and dedicated computing capacity for large technology customers. The company is expanding beyond digital asset computing into AI cloud infrastructure and high-performance workloads.
GMI Cloud
GMI Cloud provides NVIDIA-based GPU computing and AI inference infrastructure. Its services include dedicated GPU clusters, cloud computing, and managed inference. In October 2026, GMI Cloud announced $668 million in financing to expand capacity across the United States and Asia-Pacific.
Verda
Verda develops a full-stack AI cloud combining GPU computing, platform services, and infrastructure management. Formerly DataCrunch, the Helsinki-based company provides computing resources for AI training, inference, and research. In September 2026, Verda announced $189 million in funding to expand its capacity and services.
RunPod
RunPod provides on-demand GPU instances, serverless inference, and computing environments for AI development. Its platform supports individual developers and businesses requiring access to accelerated hardware. In September 2026, RunPod opened a GPU cloud region in India, expanding its international infrastructure footprint.
Vultr
Vultr provides cloud computing, bare-metal infrastructure, and GPU services across a global network of locations. Its accelerated computing offerings support AI model training, inference, and enterprise workloads, including organizations seeking dedicated GPU capacity without operating physical infrastructure.
Lightning AI (Voltage Park)
Lightning AI provides an AI development and computing platform combining GPU infrastructure with tools for training and deploying models. In January 2026, Lightning AI merged with Voltage Park, integrating dedicated GPU resources with its AI software platform. The combined company operates under the Lightning AI brand.
WhiteFiber
WhiteFiber develops GPU cloud infrastructure and high-performance AI computing systems. Its WhiteFiber Continuum architecture connects GPU clusters across separate data centers. In September 2026, the company made the distributed supercluster platform commercially available.
Sharon AI
Sharon AI develops AI factory infrastructure and GPU cloud services, primarily across Australia and Asia-Pacific. Its business focuses on providing dedicated computing capacity through long-term customer agreements. In August 2026, Sharon AI announced successful delivery of an initial deployment under a five-year AI cloud contract.
Sustainable Metal Cloud
Sustainable Metal Cloud develops liquid-cooled AI computing infrastructure and GPU cloud services. Its approach focuses on high-density infrastructure designed to manage energy consumption and cooling requirements while supporting AI model training and inference.
Genesis Cloud
Genesis Cloud provides GPU cloud infrastructure for machine learning, scientific computing, and high-performance workloads. Its services support researchers and developers requiring accelerated compute capacity for training models, processing data, and running computational experiments.
Cirrascale
Cirrascale provides GPU cloud and dedicated computing infrastructure for organizations developing AI systems. Its services include specialized accelerated computing environments designed for model training, scientific research, and high-performance workloads.
Gcore
Gcore provides AI cloud computing, GPU infrastructure, and edge services. Its distributed cloud platform enables businesses to train and deploy AI models across multiple regions, including applications requiring low-latency inference closer to end users.
VESSL AI
VESSL AI develops AI cloud infrastructure and machine learning orchestration software. Its VESSL Cloud platform supports distributed training, GPU workspaces, and scalable workloads, helping AI teams manage computing resources across development and production environments.
NexGen Cloud
NexGen Cloud provides GPU cloud infrastructure for AI and high-performance computing. Its European-focused services support organizations seeking accelerated computing resources, including those requiring regional infrastructure and data residency.
Hyperstack
Hyperstack provides NVIDIA GPU cloud computing and dedicated AI clusters. Its offerings support model training, inference, and research, with computing configurations designed for organizations requiring multiple GPUs and high-performance networking.
Denvr Dataworks
Denvr Dataworks provides high-performance GPU computing infrastructure and AI cloud services. Its platform supports organizations running model training, inference, and compute-intensive workloads through specialized accelerated computing systems.
HIVE Digital Technologies
HIVE Digital Technologies operates GPU cloud infrastructure through its BUZZ High Performance Computing business. The platform provides NVIDIA-based computing capacity for AI workloads and dedicated customer deployments. In August 2026, BUZZ HPC announced a five-year GPU cloud services agreement valued at approximately $350 million.
Scaleway
Scaleway provides European cloud infrastructure, including GPU computing, AI model services, and high-performance clusters. Its services emphasize European operational control and data sovereignty. In October 2026, Scaleway announced new GPU infrastructure in Denmark and Sweden using NVIDIA and AMD accelerators.
OVHcloud
OVHcloud provides cloud computing infrastructure, including GPU instances and dedicated servers for AI and high-performance workloads. Its European data center footprint supports organizations seeking accelerated computing with regional hosting and infrastructure controls.
Neysa
Neysa develops AI cloud infrastructure for enterprises, startups, and developers in India. Its offerings include GPU computing, managed AI infrastructure, and deployment services, with an emphasis on regional computing capacity and enterprise requirements.
Yotta Data Services
Yotta Data Services provides hyperscale data centers, AI cloud computing, and GPU infrastructure in India. Its Shakti Cloud platform supports AI model training and inference, serving organizations seeking large-scale accelerated computing within domestic infrastructure.
E2E Networks
E2E Networks provides GPU cloud computing and AI infrastructure for Indian enterprises and developers. Its accelerated computing offerings include NVIDIA-based GPU instances and clusters for model development, training, and inference.
GreenNode
GreenNode provides AI cloud and GPU computing infrastructure in Southeast Asia. Its platform supports businesses building and deploying AI applications, offering accelerated compute resources and regional infrastructure for training and inference.
HIGHRESO
HIGHRESO operates GPU cloud and dedicated computing infrastructure in Japan. Its GPUSOROBAN services provide accelerated computing for machine learning, research, and high-performance workloads through Japanese data center facilities.
Sakura Internet
Sakura Internet provides cloud and data center infrastructure in Japan, including GPU computing services. Its offerings support domestic AI development, enterprise computing, and research workloads requiring access to accelerated resources.
SoftBank
SoftBank develops AI computing and neocloud infrastructure through its Japanese data centers. In May 2026, the company announced its AI Data Center GPU Cloud offering, combining NVIDIA accelerators with its Infrinia AI Cloud OS for model training and inference.
Civo
Civo provides cloud-native infrastructure, Kubernetes services, and GPU computing for AI workloads. Its platform is designed for developers and enterprises seeking straightforward deployment of cloud applications and accelerated computing environments.
UpCloud
UpCloud provides European cloud infrastructure, including GPU computing and cloud servers. Its services support businesses deploying AI applications, machine learning workloads, and other compute-intensive software in regional cloud environments.
Hetzner
Hetzner provides dedicated servers, cloud computing, and infrastructure hosting services. Its GPU-capable dedicated server offerings support developers and organizations running machine learning, rendering, and high-performance workloads.
Pi Datacenters
Pi Datacenters operates data center and cloud infrastructure in India. Its services include enterprise cloud, colocation, and GPU computing, supporting organizations deploying AI workloads and applications that require dedicated accelerated infrastructure.
Utho
Utho provides Indian cloud infrastructure and AI computing services. Its GPU cloud offerings support AI training, inference, and other workloads through dedicated computing resources and enterprise-focused deployment options.
Cyfuture
Cyfuture provides cloud computing, managed infrastructure, and data center services in India. Its AI infrastructure offerings include GPU computing resources and managed environments for businesses building machine learning applications.
KONST / Glows.ai
KONST develops GPU infrastructure and provides computing resources through dedicated clusters and cloud partnerships. Its associated Glows.ai platform offers on-demand GPU instances, with usage-based billing and support for AI development and inference.
Hot Aisle
Hot Aisle provides AI computing infrastructure built around AMD GPU accelerators. Its developer-focused services support organizations training and running AI models using AMD's accelerated computing ecosystem.
Thunder Compute
Thunder Compute develops GPU virtualization and cloud computing infrastructure. Its platform aims to improve access to underutilized GPU resources for AI workloads. In September 2026, Thunder Compute announced $13 million in Series A funding to expand its computing services.
Vast.ai
Vast.ai operates a marketplace for GPU computing resources. Its platform connects customers with GPU capacity from participating hosts, providing flexible access to hardware for machine learning, model training, and inference.
Hyperbolic
Hyperbolic develops GPU computing infrastructure and services for AI developers. Its platform emphasizes on-demand accelerated computing and alternative access to GPU resources for training, inference, and research workloads.
JarvisLabs
JarvisLabs provides GPU cloud instances for machine learning developers and researchers. Its platform supports notebooks, model training, fine-tuning, and computational experiments through accessible accelerated computing environments.
TensorDock
TensorDock operates a GPU cloud marketplace and virtual machine platform. Its services provide access to different GPU configurations through participating infrastructure providers, supporting AI development and compute-intensive applications.
Cudo Compute
Cudo Compute provides distributed cloud computing infrastructure with GPU resources for AI and high-performance workloads. Its platform aggregates computing capacity across infrastructure providers, offering alternatives to traditional centralized cloud services.
Massed Compute
Massed Compute provides GPU cloud computing and dedicated infrastructure for AI workloads. Its services include on-demand instances and larger computing configurations for developers, researchers, and businesses running accelerated applications.
NodeShift
NodeShift provides GPU computing and AI infrastructure services through distributed cloud resources. Its platform enables developers to deploy AI workloads using GPU virtual machines and managed computing environments.
Qubrid
Qubrid provides a GPU cloud and AI development platform. Its technology combines accelerated computing with tools for model training, fine-tuning, and deployment, supporting developers building AI applications.
Valdi
Valdi provides on-demand GPU computing infrastructure for machine learning and AI development. Its services offer access to accelerated hardware for training, inference, and related compute-intensive workloads.
Oblivus
Oblivus provides GPU cloud computing and high-performance infrastructure. Its platform offers access to accelerated computing resources for AI model development, data processing, and other workloads requiring specialized hardware.
Exabits
Exabits develops decentralized GPU computing infrastructure. Its platform connects distributed computing capacity with AI workloads, supporting developers and organizations requiring access to accelerated hardware.
io.net
io.net operates a decentralized GPU computing network. Its infrastructure aggregates computing resources from participating providers and offers access to distributed capacity for machine learning, inference, and other AI workloads.
SaladCloud
SaladCloud provides distributed GPU computing using available hardware across a network of participating machines. Its platform supports AI inference, batch processing, and workloads that can be distributed across independent computing resources.
Aethir
Aethir develops decentralized GPU cloud infrastructure. Its network provides computing resources for AI and other accelerated workloads, connecting infrastructure supply with customers through a distributed cloud model.
Nosana
Nosana develops decentralized GPU infrastructure focused on AI inference. Its network enables developers to run model-serving workloads using distributed computing resources rather than relying entirely on centralized cloud providers.
Prime Intellect
Prime Intellect develops distributed AI training infrastructure and tools. Its platform supports training and experimentation across computing resources, helping research teams coordinate workloads without relying on a single centralized cluster.
Shadeform
Shadeform operates a GPU cloud marketplace that aggregates computing capacity from multiple providers. Its platform helps developers discover and provision GPU resources, compare available hardware, and manage deployments across participating infrastructure services.
GPU.ai
GPU.ai provides GPU compute discovery and aggregation services. Its platform helps customers identify available accelerated computing resources across providers, supporting GPU selection and infrastructure procurement.
Spheron Network
Spheron Network provides GPU rental and distributed computing infrastructure for AI workloads. Its platform offers access to accelerated hardware through a marketplace-oriented approach, supporting model training and inference.
Together AI
Together AI develops cloud infrastructure for training, fine-tuning, and serving open AI models. Its platform combines accelerated computing, inference APIs, and model optimization services. In July 2026, Together AI raised $800 million in Series C funding.
Fireworks AI
Fireworks AI provides inference infrastructure for generative AI applications. Its platform focuses on model serving, fine-tuning, and inference performance, helping developers deploy open models efficiently. In July 2026, Fireworks announced a $1.505 billion Series D funding round.
Modal
Modal provides serverless infrastructure for GPU workloads, AI inference, code execution, and distributed computing. Its platform enables developers to run computing tasks without managing servers or clusters. In October 2026, Modal raised $750 million in Series D funding.
Baseten
Baseten develops infrastructure for deploying machine learning models into production. Its platform offers model-serving optimization, scalable inference, and managed computing services for businesses building AI applications.
DeepInfra
DeepInfra provides hosted inference APIs for language models and other AI systems. Its infrastructure allows developers to run supported models without directly managing GPUs, focusing on API-based access and production model serving.
fal
fal provides inference infrastructure for generative media models, including image, video, and audio applications. Its platform helps developers deploy and scale media-generation workloads through managed APIs and accelerated computing.
Groq
Groq develops specialized processors and cloud infrastructure for high-speed AI inference. Its GroqCloud service provides access to supported language models through its Language Processing Unit architecture, offering an alternative to conventional GPU-based serving.
Cerebras
Cerebras develops wafer-scale AI processors and inference computing services. Its architecture targets high-throughput, low-latency model execution. In September 2026, Cerebras announced a partnership with Gimlet Labs to bring wafer-scale inference capacity to Gimlet Cloud.
SambaNova
SambaNova develops AI computing systems and inference infrastructure using specialized processors. Its platform supports enterprise model deployment and large-scale inference, providing an alternative accelerated computing architecture.
Replicate
Replicate provides cloud-based infrastructure for running machine learning models through APIs. Its platform enables developers to deploy and use AI models without directly managing GPUs, containers, or serving systems.
Beam.cloud
Beam.cloud provides serverless GPU infrastructure for AI applications. Its platform supports executing workloads and deploying models through cloud functions and managed computing resources.
Cerebrium
Cerebrium develops serverless AI inference infrastructure. Its platform allows developers to deploy machine learning models, manage GPU-backed workloads, and scale applications without maintaining dedicated infrastructure.
Anyscale
Anyscale provides distributed computing infrastructure built around Ray. Its platform supports AI training, inference, and large-scale Python applications, allowing organizations to coordinate workloads across computing clusters.
Koyeb
Koyeb provides serverless cloud infrastructure for application deployment, including GPU-backed AI workloads. Its platform enables developers to deploy inference services and applications using managed cloud resources.
Gimlet Labs
Gimlet Labs develops a multi-silicon inference cloud designed to distribute AI workloads across different types of processors. Its technology combines software orchestration with specialized accelerators to improve inference efficiency. In September 2026, Gimlet Labs raised $300 million in Series B funding.
Why Neocloud and GPU Cloud Providers Matter in 2026
Demand for AI model training and inference is driving investment in GPU computing, specialized cloud platforms, and high-density data centers. Neocloud providers such as CoreWeave, Crusoe, Nscale, Nebius, and Fluidstack are expanding dedicated computing capacity, while companies including TensorWave and Verda are developing alternative AI cloud infrastructure.
This expansion is creating opportunities across GPUs, networking, storage, power infrastructure, cooling systems, and managed AI services. Tracking financing announcements, GPU cluster deployments, customer contracts, technology partnerships, and regional cloud expansions helps identify providers increasing their computing capacity and developing new AI infrastructure.
How We Built This List
Agent Jesse searched the live web for neocloud and GPU cloud provider activity in 2026, including funding announcements, GPU cluster deployments, data center expansions, new cloud regions, customer contracts, and infrastructure partnerships.
The research identifies AI-focused neoclouds, regional GPU cloud providers, GPU computing marketplaces, and inference platforms, along with the signals behind their infrastructure investments, service launches, and expansion activities.
Last reviewed: October 23, 2026
Frequently Asked Questions
What is a neocloud provider?
A neocloud provider is a cloud infrastructure company focused primarily on GPU computing and AI workloads. Unlike general-purpose cloud platforms, neoclouds typically specialize in dedicated GPU clusters, AI model training, inference, accelerated networking, and computing environments optimized for artificial intelligence.
Which are the leading neocloud companies in 2026?
Leading neocloud companies in 2026 include CoreWeave, Crusoe, Lambda, Nebius, Nscale, Fluidstack, TensorWave, Firmus, IREN, GMI Cloud, and Verda. These companies develop or operate specialized infrastructure for large-scale AI computing.
What is the difference between neoclouds and traditional cloud providers?
Neoclouds focus primarily on accelerated computing, GPU clusters, and AI workloads. Traditional cloud providers such as AWS, Microsoft Azure, and Google Cloud offer broader infrastructure portfolios covering general computing, databases, storage, networking, and business applications alongside their AI services.
Which GPU cloud providers support AI training and fine-tuning?
GPU cloud providers supporting AI training and fine-tuning include CoreWeave, Lambda, Nebius, Nscale, Crusoe, RunPod, TensorWave, Verda, GMI Cloud, and Vultr. Their services offer different combinations of dedicated GPUs, multi-node clusters, managed computing environments, and accelerated networking.
Which companies provide serverless GPU computing and AI inference?
Companies providing serverless GPU computing or managed inference include Modal, Fireworks AI, Together AI, Baseten, DeepInfra, fal, Replicate, Cerebrium, and Beam.cloud. Groq, Cerebras, and Gimlet Labs provide specialized inference infrastructure using alternative or mixed accelerator architectures.
Which neocloud providers raised funding in 2026?
Neocloud and GPU cloud providers announcing major equity funding rounds in 2026 include Nscale, Crusoe, TensorWave, Fluidstack, GMI Cloud, Verda, and Thunder Compute. Other companies, including Lambda and Nebius, secured debt financing to support GPU deployments. Funding structures and amounts vary significantly by company.
Which GPU cloud providers offer regional or sovereign AI infrastructure?
Regional and sovereign GPU infrastructure providers include Scaleway, OVHcloud, Neysa, Yotta Data Services, E2E Networks, Sakura Internet, SoftBank, HIGHRESO, and NexGen Cloud. These companies offer computing capacity in specific geographic markets, including Europe, India, and Japan, with varying data residency and operational controls.
How can I find GPU cloud providers that are expanding or raising funding?
Agent Jesse searches the live internet for neocloud and GPU infrastructure companies announcing funding, deploying GPU clusters, building data centers, signing computing contracts, introducing new cloud services, hiring, and expanding into new markets. You can search by location, hardware technology, infrastructure type, and recent company activity.
Find Your Next Prospects With Agent Jesse
Agent Jesse searches the live internet for companies expanding GPU computing capacity, building AI infrastructure, raising funding, announcing partnerships, signing new contracts, hiring, launching products, adopting new technologies, and entering new markets.