HGX B300
Blackwell Ultra nodes for training and high-throughput inference. Full InfiniBand clusters, or lower-cost Ethernet setups where scale-out fabric is not needed.
Available now · from $4.50 / GPU-hour
Era Compute matches your requirement with the best offer from a network of 100+ partner datacenters across Europe. Structured terms, vetted counterparties, and a first introduction within weeks.
All offers are located in partner datacenters across Europe.
Blackwell Ultra nodes for training and high-throughput inference. Full InfiniBand clusters, or lower-cost Ethernet setups where scale-out fabric is not needed.
Available now · from $4.50 / GPU-hour
Cost-efficient servers, one or many, for inference, fine-tuning and media workloads where frontier interconnect is not required.
Available now · from $430 / month
Racks, power, cooling and remote hands for fleets you already own, in European facilities we have qualified.
Available now
Forward reservations for multi-thousand-GPU deployments, structured ahead of ready-for-service windows.
Reservations open
Forward reservations for the NVIDIA Vera Rubin platform, the generation after Blackwell Ultra.
Reservations open · Q2 2028
Rack-scale systems for frontier training and large-scale inference, delivered as complete liquid-cooled units.
Reservations open · Q1 2027
Purpose-built accelerators for high-throughput, ultra-low-latency serving, delivered through a distributed inference network.
Reservations open
Proven Hopper-class nodes for production training and memory-heavy inference workloads.
Available on request
High-memory accelerators for large-context training and inference, sourced through the same vetted operator network as our NVIDIA capacity.
Available on request
Exact clusters, live availability, and a full spec picker are in the Era Compute platform. Operator identities stay private until Era Compute makes an introduction.
Sign in to browse live inventoryTypical requests from compute buyers, matched against partner datacenters across Europe.
Production inference teams that need capacity fast. The typical ask is one to sixteen nodes ready inside a quarter, with room to grow on the same site.
Matching now · highest demand
Neolabs pre-training foundation models. They start with a few nodes with RFS inside three months, then scale to full clusters with the operator that performs. InfiniBand fabric is required.
Matching now · highest demand
Owners of GPU fleets placing their own hardware, from sub-1 MW deployments on short timelines to large-scale reservations contracted well ahead of RFS.
Matching now
Product teams buying by use case: media, fine-tuning, and application inference. Requirements range from single-GPU servers to multi-node H100 and H200 setups.
Matching now
Latency-sensitive serving placed close to users. Smaller footprints per site and multiple sites per buyer, which opens the door for facilities outside the primary metros.
Active demand
We are in contact with most of the major neoclouds. Their capacity planning centers on large-scale deployments, so qualified requests arrive on a monthly cadence rather than weekly.
Recurring demand · monthly
Requests are matched against a private operator network. Your facility details reach a buyer only when you decide to engage.
Start with one emailWhat we do
Era Compute sources European AI compute. We match companies that need GPU capacity with datacenter operators across Europe, and we structure the agreements that make that capacity usable: scope, pricing, delivery dates, support and exit terms. Our mission is to enable state-of-the-art AI models to be trained and served in Europe.
Most requirements land in one of three shapes. You can rent ready GPU clusters across current NVIDIA and AMD generations, from single nodes to reservations of 1,000+ GPUs. You can reserve capacity ahead of time, before a hall is even built, at terms fixed today. Or, if you already own your GPUs, you can place them in a partner facility through colocation: racks, power, cooling and remote hands, from 1 MW to 100+ MW.
The capacity is European by design: facilities in European jurisdictions, operating under European law, with data residency and sovereignty as the starting point rather than an afterthought. Demand comes from both sides of the Atlantic. European teams want capacity close to home; American companies come because they need capacity, and Europe has it.
Starting is deliberately simple. Share your requirement on the get compute page and we come back with comparable offers from operators we have qualified, so you can evaluate them like-for-like. Datacenter operators with capacity to place start the same way on the for datacenters page.
How we operate
Both paths are short. This is what actually happens after you reach out, whether you need capacity or have it.
A form here, an email, or a LinkedIn message.
We ask for the exact requirement and lay out what is available: options, pricing, terms.
We match the requirement with the best offer and introduce you to the operator behind it.
Both sides come pre-negotiated, so you handle contracts and legal directly with the operator.
Capacity goes live. Era Compute stays in the channel for legal and technical support.
A form here, an email, or a LinkedIn message.
We learn what capacity you have and what kind of customers you want in your facility.
We sign a referral contract and agree how we track your free capacity: API access, or a weekly update.
When a buyer wants exactly what you offer, we introduce them, pre-negotiated and ready to contract.
FAQ
Era Compute is an AI compute company focused on European capacity. You will find us at era.dev. We match companies that need GPU capacity with datacenter operators across Europe and structure the agreements between them, from GPU cluster rentals to reserved capacity and colocation. Buyers come from both Europe and the United States; the capacity is in Europe.
Not yet. Today the capacity comes from datacenter operators across Europe: Era Compute finds the operators that fit your requirement, qualifies what they can actually deliver, and structures offers you can compare like-for-like. You contract for the capacity directly, and we stay involved through delivery. Becoming a provider in our own right is the direction we are building toward. If you are a fund, an investor, or a chip company interested in partnering on that path, let's talk.
Yes, often. American companies come to us because they need capacity, and Europe has it available. The process is the same: share the requirement on the get compute page and we match it against European operators.
Requirements today center on NVIDIA H100, H200, B200 and B300 nodes, GB200 and GB300 rack-scale systems, and AMD Instinct accelerators, with successor generations handled as forward reservations. Availability depends on the requirement: scale, region, term and timing.
An offtake agreement reserves datacenter capacity ahead of time at terms fixed today: GPU type, scale, price and delivery dates. Buyers use it to secure capacity before it is live. Operators use it to underwrite the buildout. Era Compute structures these agreements between both sides.
You buy the GPUs, a partner datacenter runs them. Colocation covers racks, power, cooling, network and remote hands, and requirements range from 1 MW to 100+ MW. It typically makes sense when you already own hardware, or when owning beats renting at your scale and utilization.
It depends on the requirement. Capacity that is already live can move quickly; large reservations ahead of ready-for-service dates are planned months or years out. Share your requirement and timeline on the get compute page and we will tell you what is realistic.
In datacenter facilities across Europe. The facilities sit in European jurisdictions and operate under European law. Operator identities and exact locations stay private until an introduction is made, which protects both sides.