We build for where you are. The workstation you train on. The cluster you validate against. The infrastructure you deploy to — purpose built, every time.
The IT industry built something remarkable: 30 years of standardization that made enterprise compute reliable, scalable, and predictable. Standard form factors. Standard protocols. Standard operating environments. Standard support models. That discipline is genuinely right for the problems it was designed to solve. AI workloads are a different problem entirely. Energy density up to 10x what standard data centers were designed for. GPU components backordered months on the open market. Performance that only surfaces under real inference load — not a benchmark. IP that can’t leave the perimeter. Environments — factory floors, hospital racks, vehicles, air-gapped facilities — that no standard form factor was designed to survive. Equus has spent 35 years solving exactly these kinds of constraints in telco, defense, and industrial compute. The constraints have new names. The discipline is the same.
Standardized SKUs optimized for high-volume manufacturing, not model performance. Your software must adapt to their hardware limitations.
Architecture engineered around the model you are actually running. We optimize for VRAM, thermal density, and interconnect bandwidth before we ship.
Your infrastructure must survive a landscape that will look completely different in 18 months. Equus is built to adapt with you, not require a vendor replacement when the model stack shifts.
The greatest cost isn’t a spec mismatch—it’s the supply chain and energy constraints that stop deployments entirely. We navigate the hurdles that Tier-1 OEMs won’t.
The mission is the same across all of them.
The form it takes depends on the environment.
AI factories · Training infrastructure · Large-scale inference
For model training, large-scale inference, and sovereign AI build-outs where your IP stays inside the perimeter. Liquid-cooled, GPU-dense, rack-optimized — benchmarked against your actual workload before a single unit ships.
GPU Compute Nodes
HPC Rack Systems
Liquid Cooling
Storage Arrays
Field AI · On-premises inference · Ruggedized deployments
For models that have to run inside the hospital, on the factory floor, in the vehicle, inside the bank network — where cloud latency fails and data sovereignty is non-negotiable.
Edge Inference Appliances
Ruggedized Nodes
In-Vehicle Compute
5G MEC Platforms
Local inference · HPC research · Clinical AI · Developer compute
For researchers, engineers, clinicians, and analysts who need local model inference without the data center. Validated for the models they actually run. The data stays on the machine.
GPU Workstations
Clinical AI Terminals
Research Compute
Local LLM Inference
GPU upgrades · Liquid cooling conversions · Architecture work
You don’t have to start over. GPU retrofits, liquid cooling conversions, memory and network upgrades — we do the work that Tier-1 OEMs won’t. Built around what you already own.
GPU Retrofits
Liquid Cooling Conversion
Memory Upgrades
Power & Thermal
From the training workstation to the global inference node, we build the hardware layer your IP requires. Not a catalog SKU, but a purpose-built platform managed through year five. We provide the engineering depth a Tier-1 OEM won’t.
Scale globally without the friction. With physical Equus entities across three continents, we provide local engineering and on-site support in every major market. No resellers, no distributors. US-origin hardware, globally deployed and locally supported.
One partner. Zero variance.
Every system originates from US manufacturing to meet strict data sovereignty and government requirements. With dedicated Equus entities across Europe, Asia-Pacific, and South America, you can scale globally while maintaining the same hardware standards, security protocols, and primary point of contact.
Hardware isn’t just a GPU—it’s VRAM, thermals, and bandwidth.
Fine-tuning, inference, and edge deployments all have unique requirements. We solve for these specific constraints, not generic categories.
Tell us your model, stack, and environment. We’ll build what you actually need.
HuggingFace Transformers
Ollama local inference
LoRA / QLoRA fine-tuning
MLX (Apple Silicon)
ExecuTorch
vLLM serving
8–16GB VRAM config
Sub-200W TDP
Ruggedized chassis
llama.cpp / Ollama validated
Thermal at 95% humidity
No cloud dependency
Phi-4-mini 3.8B
Qwen3 0.6B–4B
Llama 3.2 3B
Gemma 3n
Ministral-3B
GGUF Q4_K_M
8–16GB VRAM config
Sub-200W TDP
Ruggedized chassis
llama.cpp / Ollama validated
Thermal at 95% humidity
No cloud dependency
LLAMA 4 SCOUT
Llama 4 Maverick
Llama 3.1 70B
Llama 3.1 70B
Mixtral 8x22B
Qwen3 72B
Custom fine-tunes
HBM3 bandwidth
NVLink / InfiniBand
Liquid cooling at density
Multi-node interconnect
Power at 120kW+/rack
Storage I/O for training data
HIPAA-compliant on-prem inference. Precision oncology.
Petabyte-scale genomic infrastructure. Protein folding.
Ruggedized edge compute. Humidity & thermal resistant.
US-built. Air-gapped capable. ESOP ownership.
Sub-5ms inference. Compliance-grade data sovereignty.
In-vehicle ruggedized compute. Network-independent.
University labs don’t buy in volume; they buy for the mission. We design custom GPU, memory, and interconnect configurations that the Fortune 500 OEMs won’t touch.
Don’t replace your aging HPC infrastructure—retrofit it. We provide cost-effective paths to GPU-density while maintaining FERPA and DoD research compliance.
We didn’t just learn AI. We’ve spent 35 years solving its underlying problems. From custom builds and workload validation to supply chain integrity and lifecycle support—the industry has changed, but the fundamental engineering challenges have not. We’ve mastered the infrastructure journey so you don’t have to.
35 years of supply chain authority. We navigate the disruptions that stop the Tier-1 OEMs.
Zero acquisition risk. The engineer who validates your system today is still here at year five.
Real hardware validation. Your actual model tested to failure in our facility, not yours.
The “Un-served” Tier. We specialize in the quantities hyperscalers won’t touch and OEMs won’t customize.
Current-gen accelerators in your existing chassis. Skip 12-month lead times.
“Zero new procurement. 4x inference throughput.”
Direct-to-chip or rear-door cooling for air-cooled racks.
“Power draw down 30%. Density doubled.”
HBM, NVMe, and 400G Ethernet retrofits to break interconnect bottlenecks.
“Diagnosed and resolved in two weeks.”
Facility assessment for 120kW density. We architect the building to fit the cluster.
“Equus told us the building couldn’t support it—and fixed that first.”
Current-gen accelerators in your existing chassis. Skip 12-month lead times.
“They told us what NOT to upgrade—and what to focus on first.”
“The Tier-1 OEM said our existing infrastructure couldn’t support the model workload. Equus came in, assessed it, and had us running in six weeks. No new servers.”
Every engineer and technician at Equus is a literal owner. We don’t build for a VC’s exit timeline; we build for the long-term integrity of your deployment. When you call at 2am, eighteen months from now, you’re speaking to someone with a personal stake in your success. We’ll still be here at year five.
Tell us your model, your quantization, your serving framework, and where it needs to run. We’ll tell you exactly what hardware it needs — and validate it before it ships.
We are the hardware layer beneath your software product.
Deploy into constrained environments, hospitals to factory floors.
Large-scale inference and sovereign data centers.
