AI Training & Inference Server — Multi‑GPU Configurable
A high‑density 4‑GPU AI server engineered for training, fine‑tuning, and high‑throughput inference. Choose from H100, H200, L40S, RTX 6000 Ada, or MI300X configurations. Built for labs, agencies, enterprises, and data centers scaling regional AI capacity.
Full Product Description
Overview
The Quartz 4‑GPU Tensor Workstation is a compact, enterprise‑grade AI server designed for modern compute workloads. With support for five flagship GPU architectures, this system adapts to any environment — from local AI labs to full data center deployments.
Every unit is burn‑in certified, thermally validated, and available in tower or 4U rackmount form factors.
Key Features
- – 4× Tensor‑class GPUs (H100, H200, L40S, RTX 6000 Ada, MI300X)
- – High‑density compute for training, fine‑tuning, and inference
- – Rack‑ready or desktop‑ready configurations
- – Enterprise cooling for sustained full‑load operation
- – 24‑hour burn‑in certification
- – Local support & installation (Florida)
Technical Specifications (Base Chassis)
CPU Options
- – Dual Intel Xeon (Silver/Gold/Platinum)
- – AMD EPYC (7003/7004 series)
Memory
- – 128GB – 1TB ECC DDR4/DDR5
Storage
- – 1× 2TB NVMe (OS)
- – 2–8× NVMe or SATA SSDs (data)
- – Optional RAID
Networking
- – Dual 10GbE standard
- – Optional 25GbE / 40GbE / 100GbE
Power
- – 1600W–2400W redundant PSUs
- – 208V recommended for data center deployments
Cooling
- – High‑static‑pressure fans
- – GPU‑optimized airflow
- – Optional liquid cooling
Form Factor
- – Tower or 4U rackmount
- – Rails included for rackmount version
🔥 GPU Configuration Options (Choose Your Build)
Below are the five GPU options Quartz offers for this 4‑GPU workstation.
Each block includes positioning, specs, and pricing ranges.
1) 4× NVIDIA H100 (80GB)
Flagship Training Configuration
The gold standard for LLM training, fine‑tuning, and enterprise‑grade AI workloads.
Best For
- – AI labs
- – Enterprise training clusters
- – High‑end research
- – Multi‑node scaling
Performance Highlights
- – 80GB HBM2e per GPU
- – Exceptional FP8/FP16 throughput
- – NVLink support (depending on chassis)
Price Range
\$120,000 – \$160,000 (depending on supply)
2) 4× NVIDIA H200 (141GB)
Next‑Gen High‑Memory Training Node
The H200 is the memory‑expanded successor to H100, ideal for large context windows and massive datasets.
Best For
- – LLMs with long context
- – Retrieval‑augmented training
- – High‑memory inference workloads
Performance Highlights
- – 141GB HBM3 per GPU
- – Higher bandwidth than H100
- – Ideal for 70B–400B parameter models
Price Range
\$160,000 – \$220,000 (market‑dependent)
3) 4× NVIDIA L40S (48GB)
The Sweet Spot for Training + Inference
A powerhouse for agencies, startups, and mid‑tier labs.
Massive performance at a far more accessible price point.
Best For
- – Fine‑tuning
- – Vision models
- – Multi‑tenant inference
- – API workloads
Performance Highlights
- – 48GB GDDR6
- – Excellent FP8/FP16 performance
- – Strong diffusion model performance
Price Range
\$18,000 – \$32,000
4) 4× NVIDIA RTX 6000 Ada (48GB)
Creator + AI Hybrid Workstation
Ideal for mixed workloads: AI, rendering, simulation, and engineering.
Best For
- – Agencies
- – VFX studios
- – Robotics labs
- – R&D teams
Performance Highlights
- – 48GB GDDR6
- – Strong inference performance
- – Excellent for multimodal workloads
Price Range
\$16,000 – \$28,000
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5) 4× AMD MI300X (192GB)
High‑Memory Open‑Source AI Powerhouse
A monster for open‑source LLMs, massive context windows, and cost‑efficient training.
Best For
- – Open‑source AI labs
- – Long‑context inference
- – Multi‑GPU training
- – RAG systems
Performance Highlights
- – 192GB HBM3 per GPU
- – Exceptional memory bandwidth
- – Strong ROCm ecosystem growth
Price Range
Varies by supply (typically \$60,000 – \$100,000)
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Included With Every Unit
- – 24‑hour burn‑in certification
- – Thermal validation report
- – Cable kit
- – Remote management enabled
- – Quartz support & integration assistance
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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.
