Full Catalog
Every GPU, CPU, memory module, server, rack, and support plan we carry — from a $249 Intel Arc card to a $6.25M GB300 NVL72 rack. Filter by category, vendor, and market tier.
18 products
Arc B580
The cheapest real GPU on the shelf — Intel's Battlemage value champion.
Arc A770
First-gen Arc with 16GB — a cheap way to have more VRAM than a 4060.
RTX 5070
The affordable on-ramp to Blackwell — enough VRAM for quantized 7B–13B models.
RTX 5070 Ti
The mainstream Blackwell pick — most of the 5080's memory for less.
RTX 5080
The sensible sibling to the 5090 — still a capable local-inference card.
RX 7900 XTX
AMD's consumer flagship — big VRAM per dollar if you're ROCm-friendly.
RTX 4090
Last generation's flagship — still a very real local-AI workhorse.
L4
The entry point. Cheap, low-power, and plenty for small inference jobs.
RTX 5090
The fastest consumer card NVIDIA makes — a hobbyist's on-ramp to local AI.
L40S
Ada Lovelace's do-everything card — fine-tuning, inference, and graphics.
A100 PCIe
The Ampere legend, still training real models for a fraction of Hopper cost.
RTX PRO 6000
96GB of workstation VRAM — the biggest single card you can put in a desktop.
MI300X
AMD's answer to H100/H200 — more memory, a real second sourcing option.
A100 SXM4
NVLink-connected Ampere for real multi-GPU training pods.
H100 PCIe
Drop-in Hopper for standard servers — no SXM baseboard required.
H100 SXM5
The Hopper workhorse. Still the backbone of most training clusters.
H200 SXM5
H100's memory-hungry sibling — built for large-context inference.
B200 SXM6
Blackwell has arrived. The current frontier-training standard.