GPU infrastructure
GPU servers for performance workloads
We design and operate GPU infrastructure for projects that need high compute performance, parallel processing or specialized GPU workloads. We handle GPU selection, power delivery, cooling, PCIe options, virtualization and practical testing.
Use cases
Where GPU infrastructure makes sense
GPU compute tasks require a specific approach to hardware, configuration and virtualization. We work with projects that have concrete technical requirements.
AI / ML testing and development
Dedicated GPU environments for training, fine-tuning and model inference. Fast access to GPU without shared performance.
Video processing and transcoding
GPU-accelerated video encoding and decoding. NVENC, NVDEC, FFmpeg with GPU support, high-throughput pipelines.
Rendering
GPU rendering farms for 3D, visualization and VFX. Distributed rendering, GPU resource management, multi-GPU systems.
GPU compute and scientific workloads
Parallel compute, simulations and scientific workloads. CUDA, OpenCL, high-memory performance GPUs.
Performance VMs with GPU
A dedicated GPU via PCIe passthrough, or shared GPU/vGPU where supported by the specific hardware and licensing model.
Test lab and experimental configurations
Testing GPU workloads, benchmarking, verifying PCIe compatibility, IOMMU groups and GPU virtualization setups.
Background
Experience and test environment
For testing GPU configurations, we have multiple private servers, dozens of PCIe devices and specialized GPUs including V100. We use this environment to verify configurations before production deployment.
We help choose GPUs matching workload, memory requirements and budget.
PCIe layout design, bifurcation, IOMMU groups and compatibility with motherboard and BIOS.
Practical GPU virtualization configuration into VMs via Proxmox VE and VFIO.
Correct TDP calculation, EPS connectors, PSU capacity, airflow and thermal stability under load.
We verify stability, temperatures, performance and power draw before production deployment.
Temperature, utilization, memory and GPU performance monitoring in production.
We test before deployment
We test every GPU system under real load - verifying stability, temperatures, power draw and virtualization configuration correctness. We have multiple servers and dozens of PCIe devices including specialized GPUs.
Working on a GPU workload?
Tell us what compute performance you need and for what purpose. We will propose a suitable GPU infrastructure.