Aydar's AI Hardware Co.

NVIDIA Hardware Catalog

A focused range of real NVIDIA hardware, from a single desktop card up to a full datacenter rack. Prices marked official come from NVIDIA's own pricing; prices marked estimate aren't published by NVIDIA and are estimated from reputable vendor sources instead.

Desktop GPU

NVIDIA GeForce RTX 5090

32.0 GB GPU memory — this is the workspace where the active model must fit.

$2,499 estimate

Official launch MSRP was $1,999; $2,499 reflects current street price.

575 W — about 0.48 average homes worth of continuous power.

Best for: Hobbyists and individual developers experimenting on one machine.

This is a gaming/creator card, not a datacenter part. It's the cheapest way to try small AI models yourself, but its 32 GB of memory is nowhere near enough for any of the 100B+ models this store focuses on — it's shown here for comparison.

Limitations: 32 GB GPU memory can't hold a 100B+ parameter model on its own. Plugs into a normal desktop PC's power supply.

Source · verified 2026-07-19

Professional Workstation GPU

NVIDIA RTX PRO 6000 Blackwell Workstation Edition

96.0 GB GPU memory — this is the workspace where the active model must fit.

$8,565 official

Official NVIDIA launch MSRP (March 2025); some resellers list higher prices in 2026 due to memory shortages.

600 W — about 0.5 average homes worth of continuous power.

Best for: Startups building their own AI workstation from individual GPUs.

A professional card designed to sit in a workstation tower. 96 GB of GPU memory — this is the workspace where the active model must fit — is enough to matter for real AI workloads, and several of these can go in one machine.

Limitations: This is the GPU price only; a complete workstation needs a CPU, RAM, storage, PSU, and chassis on top of this.

Source · verified 2026-07-19

Datacenter GPU

NVIDIA H100 SXM

80.0 GB GPU memory — this is the workspace where the active model must fit.

$30,000 estimate

NVIDIA does not publish a per-GPU price; this is a market estimate from reseller quotes.

700 W — about 0.58 average homes worth of continuous power.

Best for: Companies buying pre-built datacenter servers, not individual cards.

Unlike the cards above, H100s aren't sold as something you plug into a normal PC — they come mounted on a specialized board inside a purpose-built server, several at a time.

Limitations: Not purchasable as a standalone plug-in card — always part of a pre-built multi-GPU server.

Source · verified 2026-07-19

AI Workstation

NVIDIA DGX Station (GB300 Grace Blackwell Ultra)

252.0 GB GPU memory — this is the workspace where the active model must fit.

$120,000 estimate

NVIDIA does not publish a retail price; this is a market estimate from partner OEM listings.

1,600 W — about 1.33 average homes worth of continuous power.

Best for: Startups that need one very capable machine and want it complete out of the box.

A deskside single-GPU system built around one very large Grace Blackwell superchip — a complete machine, not a bare card.

Limitations: 1,600 watts is more than a typical single home-office circuit provides continuously; needs a dedicated circuit.

Source · verified 2026-07-19

Multi-GPU Server

NVIDIA DGX H100 (8x H100 SXM)

640.0 GB GPU memory — this is the workspace where the active model must fit.

$380,000 estimate

NVIDIA does not publish a system price; this is a market estimate aggregated from reseller quotes.

10,200 W — about 8.5 average homes worth of continuous power.

Best for: Mid-size companies that need real datacenter-grade serving capacity.

A complete, pre-built server with 8 H100 GPUs wired together with fast internal networking — 640 GB of combined GPU memory in one box, ready to rack-mount.

Limitations: Requires proper datacenter power, cooling, and rack space — not office-suitable.

Source · verified 2026-07-19

Full Datacenter Rack

NVIDIA GB200 NVL72

13.40 TB GPU memory — this is the workspace where the active model must fit.

$3,000,000 estimate

NVIDIA does not publish a rack price; this is an analyst/market estimate widely cited in industry press.

130,000 W — about 108.33 average homes worth of continuous power.

Best for: Large-scale mid-size or enterprise deployments serving very high traffic.

A full liquid-cooled rack connecting 72 Blackwell GPUs and 36 Grace CPUs as one giant pooled-memory system — 13.4 TB of combined GPU memory in a single rack.

Limitations: Requires a real datacenter: specialized liquid cooling, very high power delivery, and skilled administration.

Source · verified 2026-07-19

Individual GPU vs. complete system

A GPU price alone doesn't buy you a working computer. The desktop and workstation cards above are priced as bare GPUs — building a real workstation around them costs extra for a CPU, RAM, storage, a power supply, and a case. The server and rack entries, on the other hand, are complete, ready-to-run systems, so their price already includes everything.