Some truths feel like gravity. Unquestioned. Unshakeable.
That enterprises would always default to the big three. That public cloud was the final form. That Europe would grumble, regulate, but stay put.
Not anymore.
Private conversations are making their way into the public forum.
At KubeCon EU, vendors said European companies are actively fleeing US hyperscalers. Tariffs. Espionage fears. Regulatory overreach.
And Microsoft has responded.
With a €4.8B commitment.
But, as ever, that’s not all that’s going on in the market.
I’m Ben Baldieri, and every week I break down the moves shaping GPU compute, AI infrastructure, and the data centres that power it all.
Here’s what’s inside this week:
Let’s get into it.
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Nscale is 11 months old.
Nscale, a startup that is less than a year old, is already trying to raise about $2.7 billion to build AI infrastructure on the back of a pending partnership with ByteDance, the Chinese owner of TikTok
— Bloomberg (@business)
1:20 PM • Apr 28, 2025
It’s now seeking $2.7 billion in capital. $1.8B in private credit. $900M in equity.
The goal?
Build out AI data centres across the globe.
Supplying ByteDance with Nvidia GB200s at scale and hosting them in Norway is a big part of this vision. However, ByteDance actively denies the rumoured 27,000 GPU scale. With Goldman Sachs already lined up to lead the debt, this could be a big one.
Why this matters:
ByteDance can’t buy the chips because of the chip restrictions. But it can rent them.
While the geopolitical risk is real, so is the demand, and a contract with ByteDance isn’t one many would turn down.
This model echoes that of CoreWeave: fast capital, chip-as-collateral, hyperscaler-style ambition. The race to build a European counterweight continues.
Meta can finally be considered a cloud.
Meta Platforms can now make money on the enormous sums it has spent on GenAI with the Llama 4 API service. $META $GOOG $MSFT $AMZN
nextplatform.com/2025/04/30/wit…— The Next Platform (@TheNextPlatform)
10:19 PM • Apr 30, 2025
The pseudo-hyperscaler just launched hosted APIs for Llama 3, turning its models into a fully managed service. Developers can now plug into Meta Cloud directly, a late but decisive move into inference-as-a-service. The platform includes integration tools, safety features, and partnerships with AWS, Azure, and Oracle for infra.
Why this matters:
The cloud incumbents just picked up a not-insignificant new competitor, as did the inference providers.
Meta is moving up the stack, offering infra, not just open weights.
This move also gives it a monetisation path outside advertising…or a novel way to serve yet more ads. And if recent comments out of the Perplexity camp are anything to go by, the hypertargeted ads are a case of when, not if.
🚀 Big News! DDN is teaming up with @nebius, one of the world’s most advanced AI cloud providers, to redefine enterprise AI infrastructure.
Together, we’re powering next-gen AI with unmatched performance, scalability, and efficiency. By integrating DDN Infinia and EXAScaler,
— DDN (@DDNintelligence)
5:57 PM • May 1, 2025
The idea? Seamless orchestration across compute, storage, and model deployment, optimised for sovereignty and hybrid deployments. The collaboration targets mid-sized enterprises that don’t want the full Azure/AWS lock-in but still need something enterprise-ready. Nebius brings the cloud-native platform. DDN brings storage muscle.
Why this matters:
Enterprise AI infra is still a fragmented mess, and Nebius wants to fix that.
DDN’s hardware credibility could be a differentiator as workloads scale.
Nebius is increasingly positioning itself as a full-stack neocloud alternative.
Alibaba Cloud has launched Qwen 3, its new open-weight model suite.
Introducing Qwen3!
We release and open-weight Qwen3, our latest large language models, including 2 MoE models and 6 dense models, ranging from 0.6B to 235B. Our flagship model, Qwen3-235B-A22B, achieves competitive results in benchmark evaluations of coding, math, general
— Qwen (@Alibaba_Qwen)
9:05 PM • Apr 28, 2025
Qwen 3.5, the flagship variant, outperforms Mixtral, LLaMA 2, and even Claude 2.1 on MT-Bench and MMLU. The full release includes models from 0.5B up to 72B parameters. And all trained with context windows up to 128K.
But the real story might be the meta one.
Anthropic recently published a national policy position paper calling for export controls on open weights. It’s part of a growing trend where the largest model providers are actively lobbying the US government to regulate their smaller competitors under the banner of national security. Which sounds an awful lot like regulatory capture masquerading as a “free world vs. the rest” story.
Why this matters:
Alibaba’s Qwen3 is yet another indicator of declining Western dominance in the open-weight arena.
Regulatory capture is bad for everyone.
Calling for state control of distribution (and indirect state support as a second-order consequence) under the guise of national interest is a slightly ironic line of argumentation to take.
Intel’s foundry business is rebranding, restructuring, and rebooting trust.
“We will be guided by the voice of the customer.” –Lip-Bu Tan, Intel CEO
See how Intel Foundry can help you achieve a higher level of innovation at Intel Foundry #DirectConnect.
Watch the keynote: intel.ly/4iBNORv
— Intel (@intel)
11:00 PM • Apr 29, 2025
This week, it rolled out a broader product portfolio, new ecosystem partnerships, and updated timelines for its five-process-node-in-four-years plan. The effort includes formalising foundry services for chiplets, packaging, and advanced nodes, and expanding design support for both x86 and Arm. Intel also announced new customers for its IFS (Intel Foundry Services) arm and hinted at an expanded ecosystem with cloud, EDA, and packaging partners onboard.
Why this matters:
Foundry customers don’t forget. Intel lost credibility by failing to deliver consistently.
Winning back trust means showing volume, not just PowerPoint.
With US–China tensions still high, Intel could become the go-to foundry for Western firms seeking supply chain insulation.
Amazon just launched the first 27 satellites for Project Kuiper, its answer to Starlink.
Important moment for @ProjectKuiper as we just confirmed our first 27 production satellites are operating as expected in low Earth orbit. While this is the first step in a much longer journey to launch the rest of our low Earth orbit constellation, it represents an incredible
— Andy Jassy (@ajassy)
5:55 AM • Apr 29, 2025
The launch, via ULA’s Atlas V rocket, marks the beginning of a planned 3,236-satellite constellation designed to provide global broadband internet. And compete directly with Starlink. The goal: deliver connectivity to underserved regions, support AWS edge workloads, and control the orbital layer of AI deployment.
Why this matters:
Just as AWS controls its own silicon, Amazon now wants to own the delivery layer for internet access.
Ground infrastructure is already in progress, and customer terminals have been demoed with peak speeds of up to 1 Gbps.
With those speeds, Amazon can serve cloud + AI workloads in remote areas. Something even AWS regions can’t cover.
Microsoft has announced €4.8 billion in AI infrastructure investment across Europe.
.@Microsoft's support for Europe always has been and always will be steadfast. Today we launched five new European Digital Commitments to sustain customer trust, help create jobs, promote economic opportunity, and strengthen security on both sides of the Atlantic.
— Brad Smith (@BradSmi)
9:10 AM • Apr 30, 2025
This new push for dominance includes sovereign cloud regions in Spain and Germany, and plans for 600,000 GPUs by 2026. It’s also part of a broader strategy that includes training programmes, responsible AI frameworks, and new regional HQs in London and Brussels.
But there’s an elephant in the data centre:
At KubeCon EU, vendors like Civo and Nextcloud reported a wave of clients seeking alternatives to US hyperscalers. Concerns include tariffs, data residency, and espionage risk. Even Vultr confirmed it’s seeing rising demand for sovereign deployments.
Why this matters:
We’re entering an era where true data sovereignty becomes a procurement requirement, not a niche feature.
Microsoft is pre-emptively embedding itself into European AI infrastructure before regulators force their hand.
This is the most explicit hyperscaler commitment to European AI so far, and it probably won’t be the last.
A year ago, Nscale didn’t exist. Not publicly, at least.
Today, it’s pitching $2.7B to host Nvidia’s best chips for ByteDance. Meta is now a cloud. Alibaba’s open-weight stack is beating GPT-3.5. And Anthropic wants Uncle Sam to build more walls.
Meanwhile, Nebius and DDN are building sovereign infra, Intel is trying to win back the foundry crowd, Amazon is going orbital, and Microsoft is doubling down on Europe… just as Europe looks for a way out.
Everything’s in motion.
See you next week.
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