Standard
- 80GB HBM2e VRAM
- 312 TFLOPS FP16
- EU Tier-III+ datacenter
- Dedicated vCPUs + NVMe
- SSH + root access
Dedicated GPU servers on H100, H200 and Blackwell hardware. Reserved capacity, single-tenant isolation, no noisy neighbours, no nonsense.
Reserved capacity on production-grade NVIDIA hardware. Billed hourly or monthly.
From sign-up to SSH in under 60 seconds. No pre-approval, no quota requests.
Pick a GPU plan — A100, H100, H200 or B200 Blackwell. Choose hourly or monthly reserved billing. Cluster configs available on request.
Pick Ubuntu 22.04 or 24.04 LTS — NVIDIA drivers pre-installed. Bring your own stack, your own environment, your own Docker setup. We stay out of the way.
Your dedicated node provisions in under 60 seconds. Connect via SSH with root access or open JupyterLab. Your GPU, your environment, zero contention.
We provision dedicated hardware across Tier-III+ datacenters, aggregate capacity from the best providers, and give you a single reliable interface. No shared tenants. No spot interruptions on reserved instances. No surprises on your invoice.
Production-grade tooling without the enterprise overhead. Raw infrastructure, clean interface.
No virtualisation overhead. Workloads run directly on NVIDIA silicon at full rated performance — no hypervisor tax on memory bandwidth or CUDA throughput.
Every instance includes dedicated NVMe local storage for fast checkpoint saves, dataset caching, and model weight loading. No shared SAN bottlenecks.
Scale from a single GPU to a multi-node InfiniBand cluster. H100 and H200 nodes are cluster-ready out of the box. Contact us for custom cluster sizing.
Arrive at a clean Ubuntu root shell. Install what you need, configure the kernel, run privileged containers. No managed environment restrictions.
Reserved instances are backed by a 99.9% uptime SLA with credit-based remediation. Live capacity dashboards available for all plan types.
Per-second billing on hourly instances. Monthly reserved pricing locked at sign-up. No hidden egress fees, no platform surcharges, no metered API calls.
Hardware lives in certified Tier-III+ datacenters with N+1 power, redundant cooling, physical security, and diesel generator failover.
Support staffed by engineers who understand GPU workloads. Priority support available on monthly reserved plans. Not a generic ticket queue.
Datacenters located exclusively in the EU. No data crosses jurisdictions. Suitable for regulated industries, healthcare AI, fintech, and enterprise compliance frameworks.
What production AI teams say about dedicated GPU infrastructure.
We moved a 48-hour training run from a shared cloud provider to LAMX H100 reserved nodes. The job finished in 31 hours. No interruptions, full 80GB VRAM available every second.
The billing is dead simple. I know exactly what I'm paying and there are zero line items I can't explain. Reserved monthly pricing makes budget forecasting easy for a Series A startup.
Multi-node InfiniBand cluster setup took less than 10 minutes. The team had all the SSH keys and were running distributed training before we finished our first coffee of the day.
No. Every LAMX instance provisions a physically isolated GPU node assigned exclusively to you. No hypervisor neighbours, no shared VRAM, no noisy tenant contention. Your workload runs on bare metal.
Monthly reserved instances are billed in advance at approximately 30% off the hourly rate. Once reserved, your capacity is locked and cannot be interrupted or reallocated — it is yours for the full billing period.
Hourly instances can be terminated at any time — billing stops at the next hour boundary. Monthly reserved instances are billed for the full calendar month with no partial refunds. See our Terms of Service for the full cancellation policy.
H100 SXM5 and H200 SXM5 instances include InfiniBand fabric for multi-node workloads. All instances include a high-bandwidth public uplink with no egress throttling on standard plans.
Yes. LAMX supports multi-GPU node configurations and multi-node clusters connected via InfiniBand. Contact us to discuss custom cluster sizing, NVLink topologies, and reserved cluster pricing. We support 8-GPU to 64-GPU cluster builds.
Ubuntu 22.04 or 24.04 LTS with NVIDIA drivers and CUDA toolkit pre-installed. That's it — you bring your own stack, Docker images, conda environments, or framework of choice. Clean root access, no managed environment overhead.
We offer a limited trial credit for new verified accounts. Sign up and contact our team to request trial access. Trial credits apply to hourly instances only and are subject to availability.
Yes. All LAMX infrastructure runs in European datacenters — your data and workloads never leave the EU. We are built for GDPR-regulated use cases including healthcare AI, fintech, and enterprise data pipelines. We can provide a Data Processing Agreement (DPA) on request.
Reserved H100, H200 and Blackwell capacity. Dedicated hardware, transparent pricing, under-60-second provisioning. No sales process, no waitlist on standard plans.