Enterprise‑Grade AI Training & Inference Server — Multi‑GPU Configurable
A high‑performance 8‑GPU AI server built for enterprise training, large‑scale inference, and multi‑node cluster deployments. Configurable with H100, H200, L40S, RTX 6000 Ada, or MI300X GPUs. Ideal for data centers, research institutions, and organizations scaling serious AI infrastructure.
Full Product Description
Overview
The Quartz 8‑GPU HGX Tensor Pod is a next‑generation AI compute node engineered for large‑scale training, fine‑tuning, and high‑throughput inference. Built on enterprise‑grade architecture with support for NVIDIA HGX and AMD Instinct platforms, this system delivers exceptional density, bandwidth, and reliability.
Designed for data centers, enterprise AI teams, and multi‑node clusters, this server is the backbone of modern AI infrastructure.
Key Features
- – 8× Tensor‑class GPUs (H100, H200, L40S, RTX 6000 Ada, MI300X)
- – NVLink / Infinity Fabric (depending on GPU type)
- – High‑density compute for training 70B–400B parameter models
- – Data‑center‑ready 4U or 6U chassis
- – Redundant power & enterprise cooling
- – 24‑hour burn‑in certification
- – Local support & installation (Florida)
Technical Specifications (Base Chassis)
CPU Options
- – Dual Intel Xeon (Gold/Platinum)
- – AMD EPYC (7003/7004 series)
Memory
– 256GB – 2TB ECC DDR4/DDR5
Storage
- – 1× 2TB NVMe (OS)
- – 4–16× NVMe or SATA SSDs (data)
- – Optional RAID
Networking
- – Dual 10GbE standard
- – Optional 25GbE / 40GbE / 100GbE / 200GbE
- – Optional InfiniBand for cluster deployments
Power
- – 2400W–3600W redundant PSUs
- – 208V or 240V required
- – Data‑center‑grade power distribution
Cooling
- – High‑static‑pressure fan banks
- – GPU‑optimized airflow
- – Optional direct‑to‑chip liquid cooling
Form Factor
- – 4U or 6U rackmount
- – Rails included
🔥 GPU Configuration Options (Choose Your Build)
Below are the five GPU options Quartz offers for this 8‑GPU Tensor Pod.
1) 8× NVIDIA H100 (80GB)
Enterprise Flagship — The Industry Standard for AI Training
The most widely deployed training GPU in the world.
Perfect for LLMs, diffusion models, and multi‑node clusters.
Best For
- – Enterprise AI teams
- – Data centers
- – Research institutions
- – Multi‑node training clusters
Performance Highlights
- – 80GB HBM2e per GPU
- – NVLink for ultra‑high bandwidth
- – Exceptional FP8/FP16 throughput
Price Range
\$240,000 – \$320,000
2) 8× NVIDIA H200 (141GB)
High‑Memory Training Titan — Next‑Gen HGX Platform
The successor to H100 with massive memory expansion and higher bandwidth.
Best For
- – Long‑context LLMs
- – 70B–400B parameter models
- – Retrieval‑augmented training
- – High‑memory inference
Performance Highlights
- – 141GB HBM3 per GPU
- – Higher bandwidth than H100
- – Ideal for frontier‑scale workloads
Price Range
\$320,000 – \$440,000
3) 8× NVIDIA L40S (48GB)
The Best Price‑to‑Performance Training Pod
A powerful, cost‑efficient alternative to HGX systems.
Best For
- – Startups scaling compute
- – Agencies running multi‑tenant inference
- – Labs fine‑tuning mid‑sized models
- – Vision + multimodal workloads
Performance Highlights
- – 48GB GDDR6
- – Strong FP8/FP16 performance
- – Excellent for diffusion and multimodal AI
Price Range
\$40,000 – \$70,000
4) 8× NVIDIA RTX 6000 Ada (48GB)
Hybrid AI + Rendering Supernode
Ideal for organizations running mixed workloads.
Best For
- – VFX studios
- – Robotics labs
- – Simulation + AI hybrid workloads
- – R&D teams
Performance Highlights
- – 48GB GDDR6
- – Strong inference performance
- – Excellent for multimodal and simulation workloads
Price Range
\$35,000 – \$60,000
5) 8× AMD MI300X (192GB)
High‑Memory Open‑Source AI Supernode
A monster for open‑source LLMs, long‑context inference, 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
\$120,000 – \$200,000 (supply‑dependent)
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
- – InfiniBand networking
