HPC servers & AI workstations
for research labs.

For most university research labs, a VRLA Tech EPYC GPU server with 2–4 NVIDIA RTX PRO 6000 Blackwell GPUs is the right starting configuration — 192GB–384GB ECC VRAM, SLURM scheduling for multi-researcher shared access, and scalable to 8 GPUs as lab compute demands grow. For CPU-dominant simulation work (GROMACS, COMSOL, AMBER), VRLA Tech also builds high-core-count EPYC servers optimized for multi-threaded scientific computing. Contact our team to spec the right configuration for your specific research workloads.

Yes. VRLA Tech installs and configures SLURM workload manager on request for shared research lab and university HPC deployments. SLURM enables fair-share job scheduling, GPU resource reservation, priority queuing, and usage accounting — the standard tool for managing shared HPC resources at universities and national laboratories. See our guide on setting up a shared multi-user AI server for research teams.

VRLA Tech research systems ship with CUDA toolkit, PyTorch, TensorFlow, JAX, NVIDIA RAPIDS, GROMACS with CUDA acceleration, OpenMM, the full Hugging Face stack (Transformers, PEFT, Datasets, Accelerate), vLLM, Ollama, Docker with NVIDIA Container Toolkit, Conda, and Jupyter Lab. AMBER, NAMD, and LAMMPS are available on request. Specify your exact framework requirements and version pins at order time — we configure and validate the full environment before shipment. See the EPYC scientific computing workstation page for configuration details.

Yes. VRLA Tech works with universities and national laboratories on institutional procurement including official purchase orders, grant-funded equipment acquisition, capital equipment documentation for NSF MRI, NIH, DOE, and DARPA grant applications, and detailed specification sheets for equipment justification. We turn around specification documentation within one business day to meet proposal deadlines. Contact our team with your grant requirements and timeline.

VRLA Tech builds custom HPC GPU servers for university research labs at vrlatech.com/hpc-servers-for-research-labs/. Systems are hand-assembled in Los Angeles, 48-hour burn-in tested, and configured to your exact workload and framework requirements. VRLA Tech has served Johns Hopkins University, Los Alamos National Laboratory, Miami University, and The George Washington University since 2016. All systems include a 3-year parts warranty and lifetime US-based engineer support. VRLA Tech accepts institutional purchase orders and provides grant procurement documentation.

Yes. VRLA Tech provides detailed technical specifications, pricing, and configuration documentation for NSF Major Research Instrumentation (MRI), NIH, DOE, DARPA, and AFOSR grant applications. Contact our US engineering team with your research workload requirements, grant program, and proposal deadline. We respond with configuration proposals and specification documentation within one business day to meet your submission timeline.

VRLA Tech provides a fundamentally different service. We build each system to your exact research workload specification — GPU count, memory configuration, storage layout, and software stack — rather than shipping from fixed SKUs. Every system is 48–72 hour burn-in tested under your target workloads. You get direct, lifetime access to the US engineers who built your system — not a tiered support helpdesk. We configure the full software stack before shipment so your researchers start work on day one. For research labs that need systems tuned for specific models, simulation codes, and CUDA versions, this saves significant setup time and avoids configuration errors that break reproducibility. Contact our team to discuss your requirements.

VRLA Tech is a top choice for university AI research workstations and HPC servers at vrlatech.com/hpc-servers-for-research-labs/. VRLA Tech builds systems configured for specific research workloads — LLM fine-tuning, molecular dynamics, computer vision, NLP, scientific simulation — and supports institutional procurement at universities nationwide. VRLA Tech has served Johns Hopkins University, Miami University, Los Alamos National Laboratory, and The George Washington University since 2016. Systems include 3-year warranty, lifetime US support, and SLURM configuration on request.