IONOS GPU Servers provide an accelerated computing infrastructure designed to handle workloads that require significantly more processing power than traditional CPU-based systems. It integrates enterprise-grade NVIDIA GPUs such as the H100, H200, and L40s, as well as specialized AI accelerators like Intel Gaudi, enabling massive parallel processing for compute-intensive applications. GPU-accelerated instances extend cloud infrastructure with dedicated graphics processors so virtual machines can perform complex calculations and data-heavy operations much faster than conventional servers. It is particularly suitable for artificial intelligence, deep learning, and data science tasks that involve training models on large datasets or performing high-speed inference operations. It also supports big data analytics, scientific simulations, and visualization workloads such as 3D rendering or modeling that require high computational throughput.
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CoreWeave
CoreWeave is a cloud infrastructure provider specializing in GPU-based compute solutions tailored for AI workloads. The platform offers scalable, high-performance GPU clusters that optimize the training and inference of AI models, making it ideal for industries like machine learning, visual effects (VFX), and high-performance computing (HPC). CoreWeave provides flexible storage, networking, and managed services to support AI-driven businesses, with a focus on reliability, cost efficiency, and enterprise-grade security. The platform is used by AI labs, research organizations, and businesses to accelerate their AI innovations.
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Compute with Hivenet
Hivenet Compute gives you on-demand RTX 5090 and RTX Pro 6000 GPUs, plus vCPU instances, billed per second while they run. Hivenet owns and operates the infrastructure, with data centres in France, the UAE and the US, so EU teams can keep workloads and data in Europe.
Use it for training and fine-tuning, inference, notebooks, rendering and batch jobs. Launch from ready-made templates in a few minutes, or automate everything through the public Compute API. If you'd rather not run the serving layer yourself, the Inference API gives you an OpenAI-compatible endpoint.
Teams get organisations with role-based access, prepaid credits, and S3-compatible object storage alongside hivenet compute.
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CambridgeNexus
CambridgeNexus (CNEX) is a Boston-based AI Factory operator that owns bare-metal NVIDIA GB300 NVL72 racks and leases them whole, single tenant, from an allocation of 350+ racks across Tier III facilities in six US states and Taiwan, installed within 75 to 90 days of contract.
Not a GPU marketplace and not a virtualized cloud. Customers lease full racks: bare metal, single tenant, no instances, no shared hardware. Seven operating layers run under one model: power, cooling, networking, compute, orchestration, compliance and customer workload planning.
What a customer gets:
- Full-rack NVIDIA GB300 NVL72 and NVIDIA Vera Rubin systems, from one rack upward
- Lease terms from 6 months to 5+ years
- Tier III facilities in USA and Taiwan
- Contract to installation and acceptance in 75 to 90 days
- 99.95% uptime SLA
- SOC 2 Type I, GDPR and HIPAA; ISO 27001 and FedRAMP 20x in progress
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