Compare the fields actually recorded, preserve complete part-number suffixes and carry your choices into a local RFQ.
AMD AMD AMD Firepro S9100 Server GPU 12GB 2560 Stream Cores Memory Interface 512 Bit GDDR5 Memory Bandwidth 320gb/S PCI-E 3.0 X16 Graphics Processing Unit Video Card — GPUs & accelerators
Title-derived fields · unverified
AMD W2C47 — GPUs & accelerators
Title-derived fields · unverified
AMD Instinct MI100 — GPUs & accelerators
OEM catalog fields reviewed · remaining checks open
AMD Instinct MI210 — GPUs & accelerators
OEM catalog fields reviewed · remaining checks open
AMD Instinct MI25 — GPUs & accelerators
OEM catalog fields reviewed · remaining checks open
AMD Instinct MI250 — GPUs & accelerators
OEM catalog fields reviewed · remaining checks open
AMD Instinct MI250X — GPUs & accelerators
OEM catalog fields reviewed · remaining checks open
AMD Instinct MI300A — GPUs & accelerators
OEM catalog fields reviewed · remaining checks open
AMD Instinct MI300X — GPUs & accelerators
OEM catalog fields reviewed · remaining checks open
AMD Instinct MI325X — GPUs & accelerators
OEM catalog fields reviewed · remaining checks open
AMD Instinct MI350P — GPUs & accelerators
OEM catalog fields reviewed · remaining checks open
AMD Instinct MI350X — GPUs & accelerators
OEM catalog fields reviewed · remaining checks open
AMD Instinct MI355X — GPUs & accelerators
OEM catalog fields reviewed · remaining checks open
AMD Instinct MI455X — GPUs & accelerators
OEM catalog fields reviewed · remaining checks open
AMD Instinct MI50 (16GB) — GPUs & accelerators
OEM catalog fields reviewed · remaining checks open
AMD Instinct MI50 (32GB) — GPUs & accelerators
OEM catalog fields reviewed · remaining checks open
AMD Instinct MI6 — GPUs & accelerators
OEM catalog fields reviewed · remaining checks open
AMD Instinct MI60 — GPUs & accelerators
OEM catalog fields reviewed · remaining checks open
AMD Instinct MI8 — GPUs & accelerators
OEM catalog fields reviewed · remaining checks open
Distinguish PCIe cards from integrated accelerator baseboards.
This guide adds the decisions, documents and next steps that support this page.
GPU platforms
Start with model size, precision, parallelism and dataset movement.
GPU platformsDefine request concurrency, latency target and model-memory footprint.
AI systemsCheck slot width, risers, auxiliary power and supported cooling.
GPU checklistDistinguish PCIe cards from integrated accelerator baseboards.
Plan host networking, GPU interconnect and storage access separately.
Request platform power requirements and facility cooling review.
A planning sequence, not a record of completed work.
Counts show records in the site catalog. They do not represent stock, available quantities or verified compatibility.
Snapshot: 2026-09-15
| Decision | Record in your brief | Evidence to retain |
|---|---|---|
| Accelerator architecture | Distinguish PCIe cards from integrated accelerator baseboards. | Complete identifier and source revision |
| Fabric & data path | Plan host networking, GPU interconnect and storage access separately. | Platform document or written clarification |
| Rack power & cooling | Request platform power requirements and facility cooling review. | Offered-unit details and agreed scope |
Tick items as you prepare them. This is your personal checklist, not a hardware validation.
Saved in this browser when local storage is available.
Reference-based generated scenes; actual-unit photos are available only through an explicit unit-specific request. Related models are separate catalog records, not substitutes for the item on this page.
Continue the relevant directory or service flow.
Open resourceUse the connected tool to develop the requirement.
Open resourceRetain the supporting reference with your project brief.
Open resourceWorkload and precision defined · Accelerator model and quantity named · Platform support documents requested · Power and cooling review assigned.
