AI Workstations & GPU Servers
Accelerate your AI/ML workflows with purpose-built GPU workstations and servers. From single-GPU developer rigs to multi-node training clusters — powered by NVIDIA, Dell, HPE, and Supermicro.
Featured Products
NVIDIA DGX Station
Desk-side AI supercomputer with 4× NVIDIA A100/H100 GPUs, purpose-built for data science and AI development.
- 4× A100/H100 GPUs
- NVIDIA AI Enterprise
- Water-cooled
- Quiet operation
Dell Precision AI Workstations
Certified AI developer workstations with up to 4× NVIDIA RTX 6000 Ada GPUs and Intel Xeon W processors.
- Up to 4× RTX 6000 Ada
- Xeon W processor
- ISV certified
- Reliable Memory Tech
HPE ProLiant DL380a Gen11
GPU-accelerated server for AI training/inference with up to 8× NVIDIA H100 GPUs and AMD EPYC processors.
- Up to 8× H100 GPUs
- AMD EPYC 9004
- HPE iLO 6
- PCIe Gen5
Supermicro SYS-421GE-TNRT
4U GPU server supporting up to 8 double-width GPUs for large-scale AI training and HPC workloads.
- 8× GPU support
- Dual Xeon Scalable
- 32 DIMM slots
- Redundant PSU
Lenovo ThinkStation PX
Flagship AI workstation with dual Xeon processors and up to 4× NVIDIA RTX 6000 Ada GPUs.
- Dual Xeon Scalable
- 4× RTX Ada GPU
- 2TB DDR5 memory
- Modular chassis
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Frequently Asked Questions
Which GPU configuration is best for large language model training?
For LLM training we recommend NVIDIA H100 80GB or A100 80GB in 8-GPU configurations. Our engineers can help you size based on model parameters.
Do you provide pre-installed AI frameworks and CUDA?
Yes, we offer optional pre-installation of NVIDIA CUDA, cuDNN, TensorFlow, PyTorch, and common AI/ML frameworks.
Can you build custom GPU server configurations?
Absolutely. We specialize in custom AI infrastructure builds tailored to your specific workload and budget requirements.
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