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DriveNets
drivenets.com › home › drivenets resources › neocloud providers: the future of gpuaas for ai workloads
Neocloud Providers: The Future of GPUaaS for AI Workloads
2 weeks ago - While they address performance ... high GPU acquisition costs, significant energy consumption, complexities in multi-tenant environments, increased market competition, and dependency on a limited number of vendors (like ...
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McKinsey & Company
mckinsey.com › capabilities › tech-and-ai › our-insights › the-evolution-of-neoclouds-and-their-next-moves
The evolution of neoclouds and their next moves
November 19, 2025 - The BMaaS model that many neoclouds have adopted is inherently commoditized: It has limited differentiation, high spending intensity, and price-driven competition. But investors are not betting on BMaaS as the endgame.
Discussions

Here’s what I’ve learned investing 5 million in neoclouds and why I sold them all
5 million Yen More on reddit.com
🌐 r/ValueInvesting
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April 27, 2026
2026 Top Neoclouds
Do you work for any of these? More on reddit.com
🌐 r/neoclouds
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April 6, 2026
CRWV, NBIS, IREN Stocks Tumble After Gartner Forecasts 80% Of Neocloud Market Will Cease To Exist By 2030
No way this is what caused the drop today lmao More on reddit.com
🌐 r/stocks
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2 weeks ago
how are folks thinking about neoclouds?
I think hyperscalers are positioned better to withstand volatility and debt that comes with buying infrastructure. However, I think neocloud companies are better suited for the AI use cases as they can focus primarily on one type of customer (AI). If AI does not pan out neoclouds are screwed. If AI delivers then these neoclouds will have good business. For me the main risk aside from AI working out is cost of AI specific infrastructure. I could see a world that these neoclouds become successful then get bought out by the hyperscalers or other companies trying to get in on AI. It won’t be cheap though. Disclaimer: these are just my thoughts and not advice More on reddit.com
🌐 r/investing
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December 27, 2025
People also ask

What is a neocloud?
A neocloud is a cloud provider that specializes almost exclusively in renting high-end GPUs for AI workloads. Unlike hyperscalers that offer hundreds of services, neoclouds focus on raw GPU compute, bare-metal or thin-VM access, and fast networking for AI training and inference.
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thundercompute.com
thundercompute.com › home › blog › what is a neocloud? the rise of gpu-only clouds (october 2026)
What is a Neocloud? The Rise of GPU-only Clouds (October 2026)
What are the biggest neoclouds?
The biggest neocloud is Coreweave, with over 40 data centers across the United States and Europe. Other fast-growing neocloud companies include Lambda, Nebius, and Crusoe. These providers focus on scalable GPU infrastructure designed for AI workloads, offering alternatives to traditional hyperscalers.
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tierpoint.com
tierpoint.com › home › artificial intelligence (ai) › what is a neocloud? understanding gpuaas for ai workloads
What Is a Neocloud? Powering AI Workloads | TierPoint, LLC
What are the disadvantages of neoclouds?
Neocloud trade-offs include: fewer geographic regions and compliance certifications, limited managed services like databases and event streaming, and the need to manage more of your own infrastructure stack compared to hyperscalers.
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thundercompute.com
thundercompute.com › home › blog › what is a neocloud? the rise of gpu-only clouds (october 2026)
What is a Neocloud? The Rise of GPU-only Clouds (October 2026)
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YouTube
youtube.com › watch
Top 5 NeoClouds Explained: CoreWeave, Nebius, Crusoe, Lambda, Fluidstack - YouTube
AI infrastructure is changing fast, and NeoClouds are becoming one of the most important categories in enterprise technology. In this video, I break down wha...
Published: June 11, 2026
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Okoone
okoone.com › home › balancing the pros and cons of neoclouds and sovereign clouds
Balancing the pros and cons of neoclouds and sovereign clouds | Okoone
April 1, 2026 - Trade-offs in managed AI capabilities: Unlike hyperscalers, neoclouds lack managed AI tools, requiring more in-house skill and integration work. Leaders must balance short-term savings against the longer implementation time and higher operational ...
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Semianalysis
newsletter.semianalysis.com › most neoclouds suck at security
Most Neoclouds Suck At Security
August 30, 2026 - Notably, the metadata exposure and cross-tenant RCEs that we have developed and demonstrated for these neocloud providers exposed customer information from banks, telcos, universities, research institutions, AI labs, and in one case, a national intelligence agency from a country with a top-10 global GDP. (We disclosed this immediately, the provider patched it within a week, and we verified the patch). Neoclouds are important. In the last year, neoclouds have signed deals with the biggest and most important companies in the world worth hundreds of billions.
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Times of India
timesofindia.indiatimes.com › news › technology news › tech news
What are Neocloud providers that Elon Musk has predicted are going to see ‘guppy-level death’ | - The Times of India
3 days ago - Integration complexity: Hybrid architectures that combine neocloud AI clusters with traditional IT systems require secure connectivity, policy alignment, and careful workload placement decisions.
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Cisco
cisco.com › learn › topics
What Is Neocloud? - Cisco
Teams accustomed to platform-as-a-service models may need additional expertise to manage lower-level infrastructure constructs such as network topology awareness or distributed training optimization. Hybrid architectures that combine neocloud AI clusters with traditional IT systems require secure connectivity, policy alignment, and careful workload placement decisions. As AI models grow in size and complexity, infrastructure demands will continue to evolve. Several trends are shaping the future of Neocloud architectures:
Published: December 19, 2025
Find elsewhere
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TierPoint
tierpoint.com › home › artificial intelligence (ai) › what is a neocloud? understanding gpuaas for ai workloads
What Is a Neocloud? Powering AI Workloads | TierPoint, LLC
September 1, 2026 - Neoclouds are designed for rapid scaling of GPU-intensive AI workloads and can quickly provision large GPU clusters for training or inference tasks. Teams can rapidly provision large GPU clusters when additional capacity is needed. However, there are geographic limitations to this scalability. Top hyperscalers allow for deployments at a larger global scale.
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Thunder Compute
thundercompute.com › home › blog › what is a neocloud? the rise of gpu-only clouds (october 2026)
What is a Neocloud? The Rise of GPU-only Clouds (October 2026)
1 month ago - Neocloud trade-offs include: fewer geographic regions and compliance certifications, limited managed services like databases and event streaming, and the need to manage more of your own infrastructure stack compared to hyperscalers.
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Semianalysis
newsletter.semianalysis.com › ai neocloud playbook and anatomy
AI Neocloud Playbook and Anatomy
October 29, 2025 - However, the reality is that a vast majority of Neoclouds are not able to meet these user requirements which makes for poor user experiences. Starting with GPU drivers required to run the GPUs – we need cuda-drivers-5xx and fabricmanager-5xx, and cuda-toolkit-12-x.
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Medium
hammansamuel.medium.com › what-are-neoclouds-81087138bf4c
What are neoclouds? - Hamman Samuel, PhD - Medium
September 7, 2026 - Data gravity and networking: Moving large datasets between your primary cloud and a neocloud can be costly and operationally complex if not designed carefully. Operational complexity: Multi‑cloud IAM, networking, monitoring, and incident response ...
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AI Tool Discovery
aitooldiscovery.com › home › ai infrastructure › what is a neocloud provider? gpu cloud vs hyperscalers explained
What Is a NeoCloud? GPU Cloud vs Hyperscalers (2026)
1 month ago - The compute job runs for hours ... training and your hyperscaler cannot provide it consistently at your instance size · GPU availability is the constraint: neoclouds often have shorter provisioning queues for H100 hardware than ...
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phoenixNAP
phoenixnap.com › home › blog › cloud computing › what is neocloud?
What Is Neocloud? Everything You Need to Know
October 20, 2025 - ... Fewer services. Compared to hyperscalers, neoclouds lack managed services, marketplace integrations, add-ons, and the global reach that enterprises are used to. Limited scalability.
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ABI Research
abiresearch.com › blog › leading-neocloud-companies
Profiling Seven Leading Neocloud Companies
March 2, 2026 - The company officially began trading on Nasdaq in late March 2025 and is currently trading at around US$138 to US$139 per share. Long-term contracts with AI juggernauts generate predictable revenue streams for the vendor. CoreWeave has also eclipsed US$5 billion in annual revenue faster than any other cloud platform to date. Despite CoreWeave’s rapid success in the neocloud market, risks include overreliance on NVIDIA hardware and dependence on a few large customers.
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Equinix
blog.equinix.com › home › what is a neocloud?
What Is a Neocloud? - Interconnections - The Equinix Blog
November 3, 2025 - There’s a new kind of cloud in town—one that’s purpose-built for AI and complementary to traditional cloud offerings ... Link copied! Neoclouds are AI-first cloud providers offering specialized GPU infrastructure at a lower cost than hyperscalers, making AI workloads more accessible.
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Reddit
reddit.com › r/valueinvesting › here’s what i’ve learned investing 5 million in neoclouds and why i sold them all
r/ValueInvesting on Reddit: Here’s what I’ve learned investing 5 million in neoclouds and why I sold them all
April 27, 2026 -

The first time I heard about neoclouds was from a friend suggesting I look at miners that were going to convert to AI/HPC about a year ago. Since by then I had held RIOT for nearly a year with zero performance I dismissed the idea swiftly.

However when Nebius, a reborn Yandex, appeared on my radar I dug deeper and bought a substantial position in Nebius at around $25 per share, largely due to the fact it was run by Volozh, a fiercely talented entrepreneur.

Although it seems crazy now, a year ago, the market was still shaking from the release of DeepSeek that would supposedly kill the need for AI compute through more efficient models that activated only part of processes needed instead of brute force methodology. Since then AI did get better, but the need for AI did not disappear.

This has led to neoclouds completely obliterating all price targets, with Nebius rising over 7x, although I did derisk my stake entirely at $65 per share, only keeping my profits in for the ride to $120. Miners shifting to AI data centers also received 10-15x runs.

The reason behind all that is it is assumed that hyperscalers like Meta and Anthropic will require an ever rising amount of compute and GPUs to function which will require more and more infrastructure. To that end, these neoclouds moved to secure land with access to electricity on GW levels and offer their services to hyperscalers to essentially build data centers to suit to accelerate their time to market.

Since data centers are essentially real estate development projects not unlike industrial real estate, many hyperscalers decided to buy up this capacity from the likes of IREN, Coreweave, Nebius, Wulf and others in deals valued in billions over periods of 5-10 years in order not to deal with the hassle. Some of these platforms like Nebius moved to build software to manage the data centers and virtually integrate.

Over the past year we’ve seen a numerous series of deals from AI hyperscalers as they rushed to secure AI/HPC compute, sending AI HPC stocks soaring with each deal in an echochamber effect.

The math behind these is quite simple. Neoclouds buy the land and secure access to power on the grid (which saves hyperscalers time to compute). Once a tenant is located that agrees to pay X billions for Y MW of compute, they do a deal where they pay an advance to the neoclouds and then a fee every year for the compute.

The hyperscaler then has to build the data center (including substations, cooling, etc) and purchase the GPUs that will be plugged in.

The GPUs are typically financed by a loan against the GPUs and the data center by the advance payment and equity from the neocloud or convert note / ATM raises.

The twist is, GPUs are amortised within 5 years, the average length of the contract, and these represent 2/3 of the cost of the data center, so at the end only the data center, substantions, cooling infrastructure remains which account for only 1/3 of the cost of the project. This means the next time a contract comes along you end up with 1/3 of the costs as net margin.

So over a 10-year period, the net operating income is around 1/6th of the revenue received on the contracts or around 17-18% of the project value. DCF methods over 15 years and applying a discount rate of 6% would give you about 20% of the project as NOI.

Of course from that you would substract additional development costs, SGA, financing costs, etc but you would still end up in the 15% APY range which for high quality deals that could be monetised if sold to data center reits to get cash at a higher multiple is definitely an interesting looking option.

Neoclouds have built a large part of their valuation around their secured power, meaning they encourage investors to look at their powered land portfolio, assume it will all be built out due to heavy demand and apply valuation models based on that potential future revenue.

This is becoming the reason as to why I have now fully exited my Neoclouds position.

First of all, the run up, ever since the Iran war has been almost 2x from the bottom and that is on top of a previous run close to 2x. In any case, this surge was due for a correction, which is now playing out.

However the real reason I am out of this sector at this moment is different - neoclouds are stuck in a land where their margins will always be subpar.

One one end, hyperscalers are going through neoclouds because it is cheaper for them than building their own data centers which requires more hassle, investment costs, etc which would dilute the performance of their metrics. It is therefore highly unlikely that neoclouds have any pricing power as the replacement cost will forever be the metric judged against.

This is in addition to the fact, many companies are trying to disrupt the powered land aspect of the offering by offering to build data sources for data centers independent of the grid. This would greatly weaken current neoclouds as well if any success is seen on that end.

Perhaps even more importantly, neoclouds need to secure GPUs from NVIDIA to run their data centers, without them a data center simply can’t operate.

Now the most valuable company in history, NVDA is actually deciding which companies to sell its GPUs to and which operator it will gives its latest chips to.

This is how NvDA got the $21 billion Meta contract to Nebius for example by giving it advance access to its Ruben chips, which it received as NVDA is an investor in Nebius. However Nvidia will always want to make sure its main profit centers are on the core holding, meaning margins from neoclouds are further challenged by the strongest supplier in the market.

Neoclouds therefore find themselves at an intersection where buyers have the bargaining power of replacement costs, its powered land assets are being challenged and its supplier is in de facto control of when it can actually build and what it can sell. All of these are happening at the same time.

None of this is priced into the price after the current run up. It eventually will be. I am watching for a pullback 20-30% in the neoclouds space and would say we are lower a year from now than we are today.

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Roundhill Investments
blog.roundhillinvestments.com › neocloud-companies-explained
Neocloud Companies, Explained: The New Landlords of the AI Buildout
July 15, 2026 - Training a frontier model, or serving it to millions of users, requires enormous, tightly clustered GPU capacity, and the hyperscalers, for all their scale, could not stand up data centers quickly enough to meet the surge. Building a new hyperscale facility can take three to five years of permitting, construction and grid interconnection. A neocloud that locked up power and space early can rack GPUs and bring capacity online in a fraction of that time.
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Reddit
reddit.com › r/neoclouds › 2026 top neoclouds
r/neoclouds on Reddit: 2026 Top Neoclouds
April 6, 2026 -

In 2026, the "Neocloud" market—specialized, high-performance cloud providers that challenge the traditional "Big Three" hyperscalers—has matured into a $42 billion industry. Unlike AWS or Azure, these providers focus almost exclusively on GPU-accelerated computing, AI factory infrastructure, and sovereign data requirements.

Here are the top Neoclouds leading the market in 2026:

1. CoreWeave

Widely considered the "gold standard" for AI infrastructure, CoreWeave has solidified its lead by securing massive allocations of NVIDIA’s latest hardware.

  • Best For: Massive-scale LLM training and high-concurrency inference.

  • Key Advantage: Direct access to NVIDIA Blackwell (B200) and Hopper (H200) clusters with native Kubernetes orchestration.

  • 2026 Vibe: The enterprise-grade alternative for teams that find hyperscalers too slow or restrictive.

2. Nebius

A rising power in the European and U.S. markets, Nebius has positioned itself as the "AI-native" cloud.

  • Best For: European data sovereignty and cost-effective GPU clusters.

  • Key Advantage: Operates strategic hubs in Europe and North America, offering highly commoditized GPU access that undercuts hyperscaler pricing while maintaining Tier-3 data center standards.

3. Crusoe (formerly Crusoe Energy)

Crusoe has pivoted from crypto-mining to building "AI Factories" powered by wasted energy sources.

  • Best For: Sustainable, high-performance computing.

  • Key Advantage: Their Leviathan modular data centers can be deployed in weeks and are powered by stranded energy (like flared natural gas or renewables), making them the choice for ESG-conscious AI labs.

4. Lambda (formerly Lambda Labs)

Lambda remains the favorite for research-intensive organizations and academic institutions.

  • Best For: 1-click GPU clusters and deep learning development.

  • Key Advantage: Extreme simplicity. They offer a "on-demand" experience that feels like a local machine but scales to thousands of nodes, with pre-installed ML frameworks that just work.

5. Civo

Civo has successfully carved out a niche as the leading "developer-first" low-cost GPU cloud.

  • Best For: Startups and independent developers.

  • Key Advantage: Zero egress fees and transparent pricing. They are the only low-cost provider in 2026 that is fully ISO 27001 and SOC 2 certified, making them "production-ready" for regulated industries.

Comparison of Specialty Tiers

If you are looking for specific performance metrics, the market has split into these categories:

Provider Primary Focus Best Hardware in 2026
CoreWeave Enterprise Scale NVIDIA Blackwell B200 / NVL72
SiliconFlow AI Inference Optimized API for 2.3x faster speeds
RunPod Serverless / Community RTX 4090 to B200 (Flexible billing)
Vast.ai Marketplace / Spot Peer-to-peer GPU rentals (Lowest cost)
Paperspace Integrated Dev Backed by DigitalOcean ecosystem
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Microsoft
microsoft.com › en-us › startups › what-is-a-neocloud
What is a Neocloud? | Microsoft for Startups
Neoclouds deliver GPU clusters as bare metal. A customer gets a single-tenant physical server with no hypervisor between the workload and the hardware. High-density NVIDIA GPUs are linked inside a server by NVLink, a direct GPU-to-GPU interconnect, while InfiniBand fabrics carry traffic between nodes with the low latency distributed training requires. Pricing is typically flat per GPU-hour, so a founder can calculate the cost of a job before starting it.