NVIDIA AI GPU data centre
AI Hardware · In stock, shipping now

The hardware behind the AI you build NVIDIA H100 · H200 · RTX PRO 6000 Blackwell · DGX · HGX · GB200 NVL72

Training a model, standing up an inference cluster, or scaling a research lab — it all runs on a short list of GPUs, servers and storage. We keep them in stock and get them to your door, duty-paid, anywhere in the world.

92
GPU, server & storage models in stock
1–3 days
Typical GPU & storage dispatch
Free DDP
We clear customs & pay the duty
30,000+
Units shipped worldwide since 2020
Why us

Enterprise GPUs, without the six-month wait

The big accelerators are normally stuck behind OEM channels, long lead times and quotes you can never plan around. We do it differently: real stock, one clear duty-paid price, and a person who actually answers. From a single workstation card to a full 8-GPU HGX node, you get the exact hardware — tested, boxed and tracked to your door.

NVIDIA AI server node
Browse by category

Three categories, one complete AI stack

A single workstation GPU or a full rack-scale deployment — everything ships from stock with free worldwide DDP delivery.

AI GPUs

Professional NVIDIA accelerators for training, inference and HPC.

  • H100 / H200 SXM & NVL
  • RTX PRO 6000 Blackwell — 96 GB
  • RTX 5090 / 4090 workstation
  • A100 40/80 GB — proven Ampere
Browse AI GPUs

AI Servers

Complete multi-GPU platforms, from 4-GPU nodes to rack-scale.

  • Lenovo HGX H200 — 8× H200
  • Supermicro / Gigabyte HGX — B200, H800
  • GB200 / B300 NVL — Blackwell
  • DGX A100 — turnkey training
Browse AI Servers

Enterprise Storage

High-capacity HDDs and enterprise NVMe for training data.

  • Seagate Exos 16–24 TB
  • WD Gold / Ultrastar
  • U.2 / PCIe NVMe SSD
  • Clean IDC pulls, fully tested
Browse Enterprise Storage
AI server hall
Built to run 24/7

Every unit is inspected, tested and burned-in before it ships

These are not grey-market pulls dropped in a box. GPUs and servers are verified against spec, configured to your workload, and packed to survive international freight — so the machine that arrives is the machine you can switch on and train with.

AI server rack
From one workstation card to a rack-scale cluster — shipped, duty-paid, worldwide.

Research labs, cloud providers and enterprises come to us for the compute they can actually get delivered on a timeline they can plan around.

1.44 EF
GB200 NVL72 · FP4
50+
Countries delivered
1–3 days
GPU dispatch
DDP
Customs & duty handled
How it works

From request to running hardware in four steps

No account, no portal, no six-week procurement cycle. Send one message and we take it from there.

01

Tell us the workload

Model size, training vs inference, budget and location. One line is enough to start.

02

Get a real recommendation

An engineer replies with the right GPU or server mix and a clear duty-paid quote — usually within two hours.

03

We test & configure

Hardware is verified against spec, configured to your setup and packed for international freight.

04

Delivered duty-paid

We handle export, freight and customs. It arrives ready to rack — the price you saw is the price you paid.

The full stack

How GPUs, servers & storage work together

Every AI workload leans on all three layers. Knowing how they interact helps you buy the right thing the first time.

Compute layer

AI GPUs

3.9 PFLOPSH100 — FP8 sparse tensor performance
  • Runs the model forward and backward pass
  • Holds active weights & KV cache in HBM
  • Limited by memory capacity & bandwidth
Platform layer

AI Servers

900 GB/sNVSwitch bandwidth per GPU — DGX H100
  • Connects GPUs full-mesh via NVSwitch
  • CPU + DDR5 feed data to GPU memory
  • Limited by inter-GPU & CPU-to-GPU bandwidth
Data layer

Enterprise Storage

14 GB/sPCIe 5.0 NVMe sequential read
  • NVMe: hot batches & model checkpoints
  • HDD: training data lakes at petabyte scale
  • Limited by sustained sequential throughput
Architecture

Ampere, Hopper & Blackwell at a glance

Three generations of NVIDIA AI silicon. Buy Ampere for proven capacity, Hopper for transformer training, Blackwell for maximum memory and FP4 throughput.

ModelYearKey specs
A100 80GB
Ampere
2020312 TFLOPS FP16 · 80 GB HBM2e · 2 TB/s
H100 SXM5
Hopper
20223.9 PFLOPS FP8 · 80 GB HBM3 · 3.35 TB/s
H200 SXM5
Hopper
20233.9 PFLOPS FP8 · 141 GB HBM3e · 4.8 TB/s
RTX PRO 6000
Blackwell
2024FP4 5th-gen TC · 96 GB GDDR7 ECC
B200 SXM
Blackwell
2025FP4 dual-die · 180 GB HBM3e · 8 TB/s
GB200 NVL72
Blackwell
20251.44 ExaFLOPS FP4 · 13.5 TB HBM3e
Real infrastructure

Inside the facilities we ship from and host in

US data centre aisle
US data-centre aisle
Server racks
Powered server racks
Industrial power & cooling
Industrial power & cooling
On-site technicians
On-site techs, 24/7
Why MillionMiner

What you actually get

Real stock, one clear duty-paid price, and delivery to 50+ countries — plus a real engineer who answers on Telegram or WhatsApp, not a bot.

Free worldwide DDP

We handle export, freight, customs and import duty. The price you see is the price you pay — nothing waiting for you at delivery.

Ships in 1–3 days

GPUs and storage go out within one to three business days. Big server builds are configured and freighted on a confirmed date.

Crypto accepted

Pay by bank transfer, card or crypto. Enterprise invoicing for research institutions and cloud buyers.

B2B & bulk pricing

Volume pricing on multi-unit GPU orders, pallet-quantity drives and complete systems, freight included.

Verified & tested

Every unit is inspected and tested before it leaves. Over 30,000 units delivered worldwide since 2020.

A real engineer, 24/7

Talk through GPU choice, cluster design and storage with someone who has built them — by Telegram, WhatsApp or email.

What you should expect to pay

Rough 2026 market ranges to help you budget. Your exact price includes free DDP delivery — ask for the current figure.
NVIDIA H100 80GB (single GPU)
~ $25K–$40K
8-GPU HGX H100 system
~ $250K–$400K
8-GPU H200 system
~ $315K
Market reference only, not an offer — form factor, quantity, configuration and destination all change the final number. Ask us for your exact duty-paid figure.
Request a quote

Tell us what you're building

One line about your workload and where it needs to go. A real engineer replies with a duty-paid quote — usually within two hours, on Telegram, WhatsApp or email.

  • Free worldwide DDP on every order
  • Volume & bulk pricing for B2B and research
  • Bank transfer, card or crypto · enterprise invoicing
  • No obligation — a quote, not a commitment
Please add your name and a WhatsApp number or email so we can reply.
Thanks — your request is in. Our team replies within 2 hours.
We never share your data. Replies typically within 2 hours, 24/7.
Common questions

AI Hardware FAQ

Three categories: AI GPUs (NVIDIA H100, H200, A100, RTX PRO 6000 Blackwell, RTX 5090, T1000, L4), AI Servers (DGX H100/H200, HGX nodes, GB200 NVL72 and custom multi-GPU platforms), and Enterprise Storage (Seagate Exos, WD Gold/Ultrastar, U.2/PCIe NVMe). Everything ships with free worldwide DDP delivery.

H100 and H200 share the Hopper die and identical compute (~3.9 PFLOPS FP8 sparse); the H200 uses HBM3e for 141 GB and 4.8 TB/s versus 80 GB and 3.35 TB/s on the H100. Both come in SXM and PCIe. The RTX PRO 6000 Blackwell is a workstation/rack GPU with 96 GB ECC GDDR7 and FP4 Tensor Cores — best when PCIe-slot memory capacity is the priority.

NVSwitch is a dedicated ASIC forming a full-mesh interconnect between all GPUs in a server. In a DGX H100, four NVSwitch ASICs connect 8 GPUs at 900 GB/s each simultaneously. Without it, multi-GPU training falls back to PCIe (~64 GB/s), a severe bottleneck. NVSwitch is only in SXM servers (DGX, HGX).

Fine-tuning a 7–13B model needs 1–4 TB of NVMe. 70B+ models need 10–100 TB of fast storage. At petabyte scale, use Seagate Exos or WD Ultrastar nearline HDDs in Ceph/Lustre. Tier NVMe for hot I/O and HDDs for the dataset lake.

It depends on precision. At FP16 (~140 GB) only the H200 (141 GB) holds it on one GPU. At INT8 (~70 GB) the H200 or H100 80 GB works. At INT4 (~35–40 GB) the RTX PRO 6000 Blackwell (96 GB) runs it comfortably. At extreme INT4 (~20–25 GB) even an RTX 5090 (32 GB) can serve 70B models.

Yes. Free worldwide DDP shipping on all orders — we handle export, freight, customs clearance and import duty, so the price you see is the price you pay. GPUs and storage ship within 1–3 business days; large server systems may need extra lead time for configuration and freight. Contact us for a specific timeline.

Yes. Volume pricing for multi-unit GPU orders, pallet-quantity storage drives and complete server systems, with freight logistics included. Send model, quantity, delivery location and timeline for a dedicated quote.

By Telegram (t.me/millionminer), WhatsApp (+49 176 777 888 33), email and phone, 24/7. We help with GPU selection, cluster design, server comparisons and B2B procurement. Contact us or read our FAQ.

Ready to build your AI infrastructure?

Browse the hardware, or tell us the workload and we come back with the right build and a duty-paid price.