Bare Metal GPUs

Single-tenant dedicated servers (Advanced, Storage, Professional, GPU and Ready families) with root access and 1–10 Gb/s connectivity, billed monthly and hosted in Aruba's owned data centres in Arezzo and Bergamo, Italy.

GPU resources for Kubernetes workloads with NVIDIA GeForce RTX 4080 Super (16 GB) or L40S (48 GB) cards, billed at a fixed monthly fee with free set-up on six-month commitments; data kept in Aruba's European data centres.

NVIDIA GPU instances and GPU-backed Kubernetes nodes (A100, L40S, H100, H200, B200, B300) in the UK, billed hourly on demand or with 6–36 month commitments

Single-tenant dedicated physical servers for workloads that require hardware-level isolation, licence-bound software, or specialised architectures; SecNumCloud-qualified across the standard configurations

NVIDIA GPU capacity delivered on dedicated Bare Metal servers (L40S and H100 configurations) with MIG partitioning, usable from IaaS, OpenShift and Managed Kubernetes, for sovereign-FR AI training and inference

NVIDIA GPU instances with 1 to 8 cards (A30, V100, A40, A5000, RTX 3080 Ti, RTX Pro 6000 and B300) for AI/ML training, inference and HPC, billed per second in selected zones

Single-tenant dedicated physical servers provisioned via API, with predictable performance and no hypervisor overhead — supports custom hardware configurations on request

GPU compute instances on NVIDIA H100, H200, and A100 hardware for AI training and inference workloads, available as bare metal or virtualised, with hourly billing and reserved capacity options

Dedicated bare-metal hardware connected to Google Cloud via low-latency links, engineered for running Oracle Database, SAP HANA, or other legacy enterprise workloads that cannot run in standard virtualised environments, with Google Cloud-managed operations

Google-designed Tensor Processing Unit accelerators for training and serving large ML models, available as TPU VMs and slices, usable from GKE, Compute Engine and Agent Platform.

Dedicated root servers (AX, EX, SX, GPU and other lines) managed via Hetzner Robot, with full hardware control, RAID and OS installation options, and optional vSwitch coupling to Cloud Networks

End-to-end AI development platform with AutoML, data labelling, distributed training on Ascend and GPU clusters, and one-click deployment to cloud or edge

Virtual machines with dedicated NVIDIA H200 GPUs (PCIe passthrough) in fixed S, M, L and XL templates for AI training, inference and HPC, available in Frankfurt (de/fra/2) and Worcester (gb/bhx).

Deploys built-in catalogue or custom AI models to dedicated GPU-backed inference endpoints called via API key; available to pre-approved customers

NVIDIA A30, A100 (80 GB), H100 (80 GB) and RTX 6000 Blackwell (96 GB) GPU VMs in Amsterdam for AI, ML and rendering, billed hourly with the VM included and discounts for commitments; deployable via OpenStack or Gardener-managed Kubernetes.

Dedicated Raspberry Pi 3 and Pi 4 boards (1–8 GB RAM) in London with network storage, IPv6-only connectivity plus IPv4 HTTP/SSH proxies, Raspbian pre-installed and a provisioning API. Prepaid or on-demand per-second billing.

Single-tenant physical servers (standard, compute and storage configurations, 64–512 GB RAM) with full root access, IPv4 and IPv6, remote power cycling, serial console and network recovery mode. Billed monthly, quarterly or yearly.

Sales-led, reserved bare-metal NVIDIA GPU capacity (e.g. GB300 NVL72 racks and B200 hosts) ring-fenced per project and region on InfiniBand/NVLink fabrics, delivered via Nscale Kubernetes Service, Managed Slurm or bare metal for large-scale training and inference.

Managed Slurm batch scheduler running on Kubernetes, providing HPC-style scheduled queues for large-scale AI training and mixed workloads on Nscale GPU capacity.

Bare-metal provisioning service that manages physical servers through the same API surface as Nova VMs, with PXE/virtual-media boot, IPMI/Redfish power management and image deployment via the direct (HTTP) agent, ramdisk or Anaconda deploy interfaces

Bare-metal and virtual machine compute instances on Oracle Cloud Infrastructure — Intel/AMD x86 plus Ampere A1 ARM shapes, GPU instances (NVIDIA A10/A100/H100/RTX PRO), per-second billing, and an always-free tier covering 4 OCPU ARM allocation

Flexible GPUs (fGPUs) allocated and attached to VMs (up to two of the same model), with NVIDIA models from K2, P6, P100 and V100 to A100, L40, H100 and H200 depending on Region, for AI/ML training and inference

Dedicated physical servers with full hardware control, custom RAID and partitioning, IPMI/KVM access, free anti-DDoS protection, and server ranges from entry-level to NVMe

Public Cloud GPU instances with NVIDIA GPUs, including H200, H100, L40S, L4, V100S and Quadro RTX 5000, plus NVMe storage and up to 25 Gbps of public and private networking. Used for AI training and inference, video processing and rendering.

Dedicated bare-metal servers delivered via the Scaleway console / API within minutes, with hourly or monthly billing, native VPC attachment, and full hardware control for workloads needing strict tenancy isolation

Virtual machines with NVIDIA L4, L40S, H100 (PCIe and SXM) and B300-SXM GPUs for AI training, inference and rendering, billed per minute of uptime in Paris and Warsaw zones

Scaleway's long-standing range of monthly-billed dedicated servers (Start, Pro, Core, Store and GPU ranges) with optional commitment discounts, plus Dedibox VPS

Dedicated Apple Mac mini servers (M1, M2, M2 Pro, M4, M4 Pro) as a service in Paris, without hypervisor, billed hourly with a 24-hour minimum allocation required by Apple's macOS licence

Cloud servers with NVIDIA GPUs for AI/ML training and inference, rendering and media workloads

Single-tenant physical servers with hourly billing, BMC / IPMI access, and free DDoS protection deployed within minutes via the same dashboard as Cloud Compute

On-demand NVIDIA GPU instances (H100, H200, A100, L40S, A40, A16) with hourly billing for AI training and inference workloads, with reserved capacity available via the Vultr sales team