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.
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.

A single workstation GPU or a full rack-scale deployment — everything ships from stock with free worldwide DDP delivery.
Professional NVIDIA accelerators for training, inference and HPC.
Complete multi-GPU platforms, from 4-GPU nodes to rack-scale.
High-capacity HDDs and enterprise NVMe for training data.

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.
A selection of what ships from stock right now. Tap any card for full specs, or send a one-line request and we come back with a duty-paid price.

Research labs, cloud providers and enterprises come to us for the compute they can actually get delivered on a timeline they can plan around.
No account, no portal, no six-week procurement cycle. Send one message and we take it from there.
Model size, training vs inference, budget and location. One line is enough to start.
An engineer replies with the right GPU or server mix and a clear duty-paid quote — usually within two hours.
Hardware is verified against spec, configured to your setup and packed for international freight.
We handle export, freight and customs. It arrives ready to rack — the price you saw is the price you paid.
Every AI workload leans on all three layers. Knowing how they interact helps you buy the right thing the first time.
Three generations of NVIDIA AI silicon. Buy Ampere for proven capacity, Hopper for transformer training, Blackwell for maximum memory and FP4 throughput.




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.
We handle export, freight, customs and import duty. The price you see is the price you pay — nothing waiting for you at delivery.
GPUs and storage go out within one to three business days. Big server builds are configured and freighted on a confirmed date.
Pay by bank transfer, card or crypto. Enterprise invoicing for research institutions and cloud buyers.
Volume pricing on multi-unit GPU orders, pallet-quantity drives and complete systems, freight included.
Every unit is inspected and tested before it leaves. Over 30,000 units delivered worldwide since 2020.
Talk through GPU choice, cluster design and storage with someone who has built them — by Telegram, WhatsApp or email.
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.
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.
Browse the hardware, or tell us the workload and we come back with the right build and a duty-paid price.