cloud.researchstem.com
Dedicated CPU, RAM, GPU and VRAM for the Research STEM programme — provisioned as single-tenant nodes with NVLink and InfiniBand fabrics, no noisy neighbours, no hidden egress.
01 / CPU & memory
Every tier ships dedicated physical cores, ECC DDR5 and local Gen5 NVMe scratch. Scale from a single 32-core node to dual-socket 128-core systems.
Compute 32
32 cores
€1.41 / hr
Compute 64
64 cores
€2.79 / hr
Compute 128
128 cores
€5.40 / hr
Compute 2 x 128
256 cores
€10.65 / hr
02 / Single GPU
Single-GPU instances for development, visualisation and focused training runs. Passthrough GPUs, no time-slicing.
| GPU | VRAM | Architecture | Host | Typical workload | From |
|---|---|---|---|---|---|
| GeForce RTX 5090 | 32 GB GDDR7 | Blackwell | 16 vCPU · 128 GB RAM | Prototyping, rendering, small fine-tunes | €2.10 / hr |
| RTX PRO 6000 Blackwell | 96 GB GDDR7 ECC | Blackwell | 24 vCPU · 256 GB RAM | Visualisation, simulation, mid-size models | €3.90 / hr |
| NVIDIA H100 SXM | 80 GB HBM3 | Hopper | 32 vCPU · 384 GB RAM | Training, HPC, CUDA/NCCL workloads | €4.43 / hr |
| NVIDIA H200 SXM | 141 GB HBM3e | Hopper | 32 vCPU · 512 GB RAM | Long-context LLM inference & training | €5.70 / hr |
03 / Multi-GPU
Multi-GPU nodes wired with NVLink inside the chassis and rail-optimised InfiniBand across the rack, for distributed training and large-scale simulation.
4 x RTX PRO 6000 Blackwell
384 GB VRAM
€14.70 / hr
8 x H100 SXM
640 GB HBM3 VRAM
€32.40 / hr
8 x H200 SXM
1.1 TB HBM3e VRAM
€42.60 / hr
8 x B200 SXM
1.4 TB HBM3e VRAM
€58.35 / hr
8 x B300 (Ultra)
2.3 TB HBM3e VRAM
€74.25 / hr
Multi-node B300 pod
on request VRAM
Reserved capacity
04 / Platform
Everything a lab needs around the silicon: scheduling, datasets, and audited access.
Bring your own scheduler or use our managed Slurm partitions with fair-share quotas per research group.
Parallel filesystem with 400 GB/s aggregate throughput, snapshots and no egress fees between projects.
EU regions, single-tenant hardware, SSO with institutional identity, full audit trail per job.
Allocation requests
Tell us your model size, dataset and deadline. We size the node — from a single RTX 5090 to a multi-node B300 pod — and return a quote within one working day.