
Built by AI engineers to enable the next generation of AI applications
No matter where you are on your AI journey, DataCrunch can get you going faster and more affordably. Whether you need fast iteration to prove concepts, scalable compute to conduct research or train models, or a production-grade inference engine, DataCrunch has what you need.
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Optimize AI spend
Flexible storage management provides 30-50% faster startup times. Dynamic pricing can save up to 50% over regular prices, and spot instances save even more. -
You get instant access
We give AI builders instant access. With our developer-first approach, DataCrunch gives you instant access to cutting-edge GPU instances, clusters, bare metal servers, serverless containers, and managed inference endpoints without hassle or hurdles. -
We are on your team
We're an extension of your AI team. We're always available with a team of AI infrastructure experts to help you address resource availability and utilization as well as optimize for training and inference efficiency. We'd like to be your strategic partner on your AI journey. -
Strong values
We believe in transparency, trust, and sustainability. We're open in communication, security practices, privacy protections, and responsible energy usage. We're ISO 27001 certified and GDPR compliant.
Think Twice About Using a Traditional Hyperscaler
Although it may be tempting to continue with your current cloud provider, or to invest in on-premise resources, the AI world is moving too fast for you to miss out on the latest innovations and peak efficiency.
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It's simpler and faster
Hyperscalers have intrusive sales calls, mandatory approvals, long provisioning times, and error-prone security settings. -
We won't lock you in
At DataCrunch we believe in open standards and designing every layer of our stack and its integration points with portability in mind. -
You'll reduce cloud costs by up to 90%
Not only are our published hourly prices lower, but with dynamic pricing, spot instances, long-term contracts, and peak performance across hardware, networking, and storage you'll actually spend less overall with DataCrunch.

Whether you're an AI-first startup or a traditional enterprise building AI-enabled solutions, DataCrunch gets you instant access to the AI compute resources you need at affordable prices.
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Having direct contact between our engineering teams enables us to move incredibly fast. Being able to deploy any model at scale is exactly what we need in this fast moving industry. DataCrunch enables us to deploy custom models quickly and effortlessly.
Iván de Prado Head of AI at Freepik -
We needed production-grade reliability with pricing that made sense for a startup. DataCrunch hit that sweet spot.
Lars Vagnes Founder & CEO
Get Results with DataCrunch
- Launch clusters in minutes, not hours.
- Up to 50% savings via dynamic pricing.
- 90% lower total costs than hyperscalers.
- 3200 Gbps RDMA high-speed interconnect.
- 30-50% faster startup times with flexible storage.
- Carbon-neutral, ISO27001 certified hosting.
The DataCrunch Stack
Optimized across all layers
Meet the DataCrunch Team
We hire AI engineering and infrastructure craftsmen to push the boundary of efficient AI
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What truly excites me is pushing the boundaries of what's possible, especially with cutting-edge technologies like Ultra Ethernet, advanced RDMA over Converged Ethernet (RoCE) and new network fabrics, always with the goal of ensuring our GPUs are utilized to their absolute maximum.
Marek Svensson Principal Architect -
I'm proud of how hard my team and I work every day to get the latest accelerators ready for public access and how quickly we jump on and resolve issues.
Jorge Santos EVP of DataCenters & Procurement -
What makes DataCrunch different is our commitment to interoperability. It's freedom by design, not lock-in.
Nikolai Syrjälä Head of Managed Services -
Working at DataCrunch means being part of a team that's deeply connected to our users and committed to building reliable, scalable, high-quality software.
Tamás Varró Cloud Team Lead -
We're continuously strengthening our defenses and adapting our practices to new challenges, without adding friction and obstacles to our teams.
Mike Champion Head of Security & Compliance -
We have the privilege of working closely following frontier research, aiming always to revisit our prior knowledge to keep pushing how we think about ML system engineering for efficiently scaling AI workloads.
Antonio J. Dominguez Head of AI -
Our infrastructure team is hands-on with everything from provisioning GPUs to writing the software behind features like instant clusters, which, fun fact, got its first customer after overtime teamwork during a sauna session.
Artem Ikonnikov Infrastructure Team Lead