High‑Density, Low‑Latency AI Inference Node — Multi‑GPU Configurable

A compact, high‑efficiency inference server designed for real‑time AI workloads, API endpoints, embeddings, RAG systems, and multi‑tenant deployments. Available in 1U or 2U form factors with configurable GPU options including L40S, RTX 6000 Ada, and low‑power Tensor GPUs. Ideal for data centers, SaaS providers, and edge compute environments.

Full Product Description

Overview
The Quartz 1U / 2U Inference Server is engineered for high‑throughput, low‑latency AI workloads. Built for environments where density, efficiency, and uptime matter, this system is optimized for inference, embeddings, vector search, and real‑time API services.

With support for multiple GPU configurations and enterprise‑grade networking, this server is ready for rack‑scale deployment in data centers, colocation facilities, and edge compute sites.

 

Key Features
  • 1U or 2U high‑density chassis
  • Single‑GPU or dual‑GPU configurations
  • Optimized for inference, embeddings, and RAG
  • Low‑power, high‑efficiency design
  • Enterprise cooling for sustained 24/7 operation
  • Remote management included
  • Local installation & support (Florida)

Technical Specifications (Base Chassis)

 

Form Factor

  • 1U (single‑GPU)
  • 2U (dual‑GPU or high‑power GPUs)

CPU Options

  • Intel Xeon (Silver/Gold)
  • AMD EPYC (7003/7004 series)

Memory

  • 64GB – 512GB ECC DDR4/DDR5

Storage

  • 1× 1TB NVMe (OS)
  • 2–6× NVMe or SATA SSDs (data)
  • Optional RAID

Networking

  • Dual 10GbE standard
  • Optional 25GbE / 40GbE / 100GbE
  • Optional InfiniBand for cluster deployments

Power

  • 800W–1600W redundant PSUs
  • 208V recommended for dual‑GPU builds

Cooling

  • High‑static‑pressure fans
  • GPU‑optimized airflow
  • Optional liquid cooling (2U only)

🔥 GPU Configuration Options (Choose Your Build)
Inference servers don’t need 4–8 GPUs — they need fast, efficient, low‑latency accelerators.
Below are the recommended configurations.

1) NVIDIA L40S (48GB)

The Best All‑Around Inference GPU
High throughput, excellent efficiency, and strong multimodal performance.

Best For

  • API inference
  • Embeddings
  • Vision + multimodal
  • SaaS AI workloads

Price Range
$8,000 – $12,000 (1U)
$16,000 – $24,000 (2U dual‑GPU)

2) NVIDIA RTX 6000 Ada (48GB)

Hybrid Inference + Rendering Node
Perfect for robotics, simulation, and multimodal workloads.

Best For

  • Robotics
  • Simulation
  • VFX + AI hybrid workloads
  • R&D teams

Price Range
$7,000 – $11,000 (1U)
$14,000 – $22,000 (2U dual‑GPU)

3) NVIDIA L4 (24GB)

Ultra‑Efficient Inference Accelerator
Designed for massive scale, low power, and high density.

Best For

  • Vector search
  • Embeddings
  • RAG systems
  • Multi‑tenant inference

Price Range
$4,000 – $7,000 (1U)

4) NVIDIA A2 / A10 Options

Entry‑Level Inference Nodes
Perfect for lightweight workloads and edge deployments.

Best For

  • Small API workloads
  • Lightweight inference
  • Edge compute
  • Low‑power environments

Price Range
$2,000 – $5,000

Included With Every Unit

  • 24‑hour burn‑in certification
  • Thermal validation report
  • Cable kit
  • Remote management enabled
  • Quartz support & integration assistance

Optional Add‑Ons

  • On‑site installation (Florida)
  • Rack integration & cabling
  • Monitoring & telemetry setup
  • Spare GPU kit
  • Redundant node pairing
  • Multi‑node cluster configuration

Built to order. Ships in 7–14 days. Local installation available.

 

Data Center Hardware Supplier & Integration Partner

Quartz 1U / 2U Inference Server
Quartz 4‑GPU Tensor Workstation
Quartz 8‑GPU HGX Tensor Pod
Data Center Infrastructure

NFT Co‑Owned Micro Data Centers