Instant provisioning
Spin up a single GPU or a multi-node cluster in minutes through a clean console or API — no tickets, no waiting on hardware that never arrives.
Elwef gives AI and HPC teams instant access to the latest NVIDIA Blackwell and Hopper GPUs — provisioned in minutes, billed by the hour, and ready to scale from a single card to a full multi-node cluster.
No lock-in · Reserved & on-demand · Bare-metal and managed clusters
Skip the procurement cycles, the capex, and the capacity planning. Rent exactly the compute you need, scale it for a training run, and release it when you're done — on infrastructure built for demanding workloads.
Spin up a single GPU or a multi-node cluster in minutes through a clean console or API — no tickets, no waiting on hardware that never arrives.
Burst to dozens of GPUs for a large run, then release them. Reserved capacity for steady workloads; on-demand for the spikes.
End-to-end encryption and isolated tenancy on request, with regional data-protection controls built into every deployment.
Dedicated GPUs with high-bandwidth NVLink and InfiniBand fabric — consistent throughput for training and low-latency inference.
Low energy costs, stable policy, and low-latency reach across Southeast Asia from a central compute base.
A current-generation NVIDIA fleet spanning data-centre Hopper accelerators down to professional and workstation Blackwell and Ada Lovelace cards — so you can match the silicon to the workload.
| GPU | Memory | Bandwidth | Architecture | Best for |
|---|---|---|---|---|
| Data-centre accelerators | ||||
| NVIDIA H200Hopper | 141 GB HBM3e | 4.8 TB/s | Hopper · NVLink | Large-scale training & memory-bound inference |
| Professional & workstation | ||||
| RTX PRO 6000Blackwell | 96 GB GDDR7 (ECC) | 1.8 TB/s | Blackwell · PCIe Gen 5 | Fine-tuning, rendering, simulation & pro visualisation |
| RTX 5090Blackwell | 32 GB GDDR7 | 1.8 TB/s | Blackwell · PCIe Gen 5 | Cost-efficient inference & prototyping |
| RTX 4090Ada Lovelace | 24 GB GDDR6X | 1 TB/s | Ada Lovelace · PCIe Gen 4 | Budget-friendly inference & creative workloads |
Specifications reflect NVIDIA's published figures. Per-GPU configurations (vCPU, system RAM, storage, fabric) tailored per deployment.
Latest-generation NVIDIA GPUs with high-bandwidth interconnect, tuned for distributed training and low-latency inference.
Reserved-capacity guarantees plus on-demand headroom, so your roadmap is never blocked on hardware.
Direct access to technical support that understands ML workloads — scheduling, scaling, and tuning.
A low regional cost base keeps your per-GPU-hour rate sharp without compromising on the silicon you run.
From training frontier models to rendering feature films, teams across industries run their most demanding workloads on Elwef.
High-performance clusters for training and inference across deep learning, NLP, and computer vision — with native support for PyTorch, TensorFlow, and more.
GPU-accelerated rendering for CGI, 3D modelling, and video production — built for entertainment, architecture, and game development pipelines.
Accelerate molecular modelling, weather forecasting, and large-scale simulation across biology, chemistry, and physics — faster and more accurately.
GPU-powered analytics and large-scale processing, with seamless integration into data frameworks like Spark and Hadoop for petabyte-scale workloads.
If your use case isn't listed, we design tailored compute — from specialised AI workloads to bespoke simulation — with consultation and solution design included.
We tailor compute to almost any workload.
See all industriesPay only for what you run, or lock in reserved capacity for a lower rate. Tell us your workload and we'll size the right GPU and quote you in one conversation.