AI laptops
Shop by exact GPU memory, system RAM, sustained power, software support, and mobility.
Shop laptopsAI computers, GPUs, systems, and capacity
Shop for what your workload needs to run.
Find pictured products, compare model fit, configure an owned system, or source hosted GPU capacity—from a laptop or workstation to a custom 1–8 GPU server, small cluster, or rack-scale deployment.
Shop by operating shape
Start with the machine or service you can actually use.
GPUs and workstations
Compare dedicated VRAM, unified memory, multi-GPU options, power, cooling, and upgrade paths.
Shop workstationsServers and clusters
Route custom 1–8 GPU servers, multi-node research systems, storage, networking, and operations.
Configure a systemHosted GPUs
Source individual GPUs, dedicated nodes, clusters, HGX/DGX systems, or managed rack capacity.
Source capacityShop by workload
Different jobs lead to different hardware and capacity routes.
LLMs, coding agents, and private inference
Route by model working set, context, tokens per second, privacy, and portability.
Find the right routeImage and video generation
Route by VRAM, resolution, batch size, software, storage, and sustained compute.
Browse capable GPUsFine-tuning, training, simulation, and clusters
Route by accelerator topology, interconnect, storage, network fabric, duration, and controls.
Source research capacityA marketplace with technical discipline
Products first, with enough evidence to avoid buying the wrong class.
Pictured records
Listings require an image, source, configuration evidence, availability, and observed time.
Memory before marketing
See whether the active working set fits in VRAM, unified memory, system RAM, or requires offload.
Own, lease, or hybrid
Choose hardware ownership, hosted capacity, or steady owned capacity plus temporary burst.
Deployable capacity
Providers can submit qualified GPU inventory, systems, clusters, and rack-scale services.
Need the explanation first?
Learn enough to shop with confidence.
The education library remains available for visitors arriving from explainers, search, or beginner questions. It supports the store; it does not replace it.
Hardware 101
Understand storage, memory, processors, bandwidth, and why one score cannot describe a whole system.
Open Hardware 101Hardware explorer
Inspect model placement, usable workspace, loading time, likely bottleneck, and illustrative throughput.
Open the explorerGlossary and metrics
Review VRAM, HBM, unified memory, bandwidth, precision, TFLOPS, and evidence limitations.
Open the glossary