From inference-optimized edge servers to multi-node H200 training clusters — we source, configure, validate, and deliver hardware that's ready to run AI on day one.
Get a Hardware Quote Browse PlatformsNot every workload needs an H100. We help you match GPU platform to workload — avoiding over-provisioning costs while ensuring the performance your model demands.
The flagship training and large-model inference platform. 141GB HBM3e memory, 4.8TB/s bandwidth. Ideal for 70B+ parameter models and demanding multi-modal workloads.
Workhorse for enterprise training and high-throughput inference. SXM variant preferred for multi-GPU NVLink topologies; PCIe for dense single-node inference racks.
48GB GDDR6 Ada Lovelace GPU optimized for inference, video generation, and mixed compute-graphics workloads. Excellent price-to-performance for serving 7B–34B models.
Proven data center GPUs offering strong value for fine-tuning, embedding generation, and stable inference workloads that don't require the latest silicon.
192GB HBM3 unified memory architecture. Exceptional for memory-bound inference on very large models. ROCm-compatible with growing LLM framework support.
NVIDIA L4, RTX 6000 Ada, and Jetson Orin platforms for low-power, on-premises inference at the network edge or in space-constrained environments.
We work with leading server OEMs to configure, validate, and deliver systems tuned for AI — not repurposed enterprise servers.
DGX H100 and H200 — NVIDIA's reference AI compute platforms with fully integrated software stack, NVLink fabric, and enterprise support. Ideal for teams who want a turnkey training system.
Highly configurable 1U–4U GPU servers in air-cooled and liquid-cooled variants. Excellent for custom rack deployments where you need precise control over components and density.
AI-optimized PowerEdge servers with iDRAC management, broad ecosystem integration, and enterprise warranty programs suitable for organizations with existing Dell environments.
For large deployments, we work directly with original design manufacturers to build custom form factors optimized for your cooling infrastructure, power budget, and rack layout.
For distributed training, the network between GPU nodes is as critical as the GPUs themselves. We design and deploy the interconnect fabric alongside your compute — not as an afterthought.
400Gb/s HDR and 800Gb/s NDR InfiniBand for maximum GPU-to-GPU bandwidth in multi-node training clusters. The gold standard for large model training.
High-performance RDMA over 100G/400G Ethernet. Cost-effective alternative to InfiniBand for many training workloads, using standard switch infrastructure.
Within-node GPU interconnect for DGX and HGX platforms. Up to 900GB/s bidirectional bandwidth between GPUs in an 8-GPU node — eliminates PCIe bottlenecks entirely.
We model your cluster topology, validate switch configurations with NCCL tests, and tune collective communication parameters before your workloads hit the cluster.
Hardware procurement is rarely just a purchase order. We manage the full lifecycle so you can focus on AI — not vendor management, warranty tracking, and RMA logistics.
Access to authorized NVIDIA, AMD, and OEM channels, plus relationships with secondary market suppliers for cost-effective access to previous-generation hardware. We navigate allocation constraints and lead times.
Every system runs a full burn-in suite before delivery: GPU stress tests, memory error checking, thermal validation, and network throughput benchmarks. We catch DOAs before they become your problem.
White-glove delivery, unpacking, racking, and cabling in your facility or ours — including power and network provisioning and BIOS/BMC configuration.
We act as your hardware support intermediary — managing warranty claims, coordinating RMAs, and maintaining spare parts pools to minimize downtime on critical systems.
Share your model sizes, batch requirements, and budget — and we'll recommend the hardware configuration that maximizes performance per dollar for your specific use case.
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