HCI-GPU-A16 - Cisco NVIDIA A16 64GB PCIe GPU Card
Артикул: HCI-GPU-A16 ✓ Активен| Кол-во | Цена за ед. | Итого |
|---|---|---|
| 1 | $9433.89 | $9.433,89 |
| 5 | $9100 | $45.500,00 |
| 10 | $8850 | $88.500,00 |
| 25 | $8600 | $215.000,00 |
| 50 | $8350 | $417.500,00 |
HCI-GPU-A16 Обзор
A GPU (graphics processing unit) add-in card is a board-level accelerator that offloads parallel compute, graphics rendering, and video encode/decode work from the host CPU. In the data center hierarchy, a GPU card sits within the server hardware layer of the compute infrastructure stack, above the PCIe backplane and below hypervisor and virtualization software. The NVIDIA A16 was purpose-built for high-user-density Virtual Desktop Infrastructure (VDI), where many concurrent virtual desktops share one accelerator.
Key features include four GPUs per board for maximum user density per PCIe slot, PCI Express Gen4 x16 host bandwidth for low-latency frame delivery, and 64 GB of total GDDR6 memory that pools across the four GPU dies. When paired with NVIDIA Virtual PC (vPC) or NVIDIA vGPU software licenses, the A16 supports NVENC/NVDEC video encode and decode per GPU, which is critical for smooth remote-media user experience.
The board uses a passive heatsink design intended for servers with directed airflow, such as Cisco UCS C-Series and HyperFlex (HCI) M6-generation nodes, where chassis fans provide the required airflow. The dual-slot width and 250 W power budget mean the host server must provide a compatible dual-slot PCIe Gen4 riser slot and adequate power cabling.
Typical applications include enterprise VDI farms, AI inference at scale across many small models, video transcoding and streaming infrastructure, and GPU-accelerated virtual workstations for CAD and creative users.
When designing the deployment, verify server compatibility (Cisco HyperFlex/UCS validated configurations), airflow direction, and NVIDIA software licensing before ordering. Estimated density planning: one A16 commonly serves 16 to 32 concurrent knowledge-worker vGPU users depending on profile size.
This page synthesizes distributor pricing signals, cross-brand context, and deployment design guidance not found on any single vendor datasheet.
Аналоги без доработки для HCI-GPU-A16 — тот же корпус, pin-to-pin совместимость. Компоненты в других корпусах, требующие переработки PCB, исключены.
Инструмент быстрого сравнения — выберите альтернативные компоненты для сравнения бок о бок:
HCI-GPU-A16=
✅ Прямая замена📋 Справочный аналог (нет в каталоге)
HCI-GPU-A16-M6
✅ Прямая замена📋 Справочный аналог (нет в каталоге)
900-2G171-0000-100
✅ Прямая замена📋 Справочный аналог (нет в каталоге)
HCI-GPU-A16 Характеристики (опубликованы производителем)
| GPU | NVIDIA A16 (Ampere architecture) |
| GPU Count | 4 GPUs on a single board |
| Total Memory | 64 GB GDDR6 |
| Memory Per GPU | 16 GB GDDR6 |
| Host Interface | PCI Express Gen4 x16 |
| Maximum Board Power | 250 W |
| Form Factor | Full height, full length (FHFL), dual-slot |
| Cooling | Passive heatsink (server directed airflow) |
| Primary Use Case | Virtual Desktop Infrastructure (VDI), high user density |
| Video Encode/Decode | NVENC / NVDEC per GPU |
| Software Support | NVIDIA vGPU / NVIDIA Virtual PC (vPC) |
| Target Platforms | Cisco HyperFlex / UCS C-Series M6 servers |
| TAA Compliance | Yes (per distributor listing) |
| Base Part Number | NVIDIA 900-2G171-0000-100 (A16 PCIe) |
Интерфейсы и разъемы HCI-GPU-A16
Для HCI-GPU-A16 отсутствует опубликованный производителем список интерфейсов. Обратитесь к документации производителя для получения сведений о разъемах и разъемных колодках.
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Мощностные и тепловые характеристики
| Охлаждение | Passive heatsink (server directed airflow) |
Параметры входной мощности и тепловые параметры для HCI-GPU-A16, опубликованные производителем.
Типичное применение
HCI-GPU-A16 подходит для 6 применениеs: Enterprise Virtual Desktop Infrastructure (VDI), AI Inference at Scale, GPU-Accelerated Virtual Workstations, Video Transcoding and Streaming Infrastructure, Hyperconverged Infrastructure (HCI) GPU Node Buildout, Remote Work and Hybrid Office Desktop Delivery.
Enterprise Virtual Desktop Infrastructure (VDI)
The HCI-GPU-A16 is purpose-built for high-user-density VDI: its four GPUs and 64 GB of pooled GDDR6 memory allow one dual-slot PCIe Gen4 card to serve many concurrent virtual desktop users in a Cisco HyperFlex or UCS M6 node. Per-GPU NVENC/NVDEC engines encode remote user display streams in hardware, keeping CPU load low and frame delivery smooth at PCIe Gen4 x16 bandwidth. Placed in a validated Cisco server airflow path, the 250 W passive card replaces multiple lower-density GPUs, saving slots and power. Sizing estimate: one A16 typically supports 16 to 32 knowledge-worker vGPU users depending on frame-buffer profile, making cost per user materially lower than single-GPU cards.
Рекомендуется
AI Inference at Scale
For AI inference, the HCI-GPU-A16's architecture of four discrete GPUs per 250 W board lets operators run multiple inference containers or models concurrently on a single PCIe slot. The 64 GB GDDR6 pool (4 x 16 GB) accommodates several medium models or many small ones, and PCIe Gen4 x16 host bandwidth sustains high request throughput to each GPU. Cisco's own positioning and distributor listings cite AI inference as a primary workload alongside VDI. The trade-off versus an A100-class card is lower per-GPU memory bandwidth, so the A16 excels at many small-to-medium models rather than one giant model. In HyperFlex clusters, multiple A16 nodes scale inference horizontally with standard vGPU/virtualization tooling.
Рекомендуется
GPU-Accelerated Virtual Workstations
Designers and engineers running CAD, BIM, or creative applications remotely benefit from the HCI-GPU-A16 delivering NVIDIA vGPU workstation profiles from shared hardware. Each of the four GPUs can be partitioned into virtual workstation instances with dedicated frame buffers from the 16 GB per GPU, while NVENC hardware encodes the remote display stream with low latency over the PCIe Gen4 x16 link. Compared with CPU-only virtual desktops, GPU-accelerated profiles cut render and viewport times substantially; compared with per-user physical workstations, the A16 consolidates 4-8 professional users per card at 250 W total. This is a common deployment in AEC and media companies standardizing on Cisco hyperconverged infrastructure.
Рекомендуется
Video Transcoding and Streaming Infrastructure
With NVENC/NVDEC engines on each of its four GPUs, the HCI-GPU-A16 acts as a dense transcoding blade for video-on-demand, live-stream transcoding, and surveillance analytics pipelines. One dual-slot 250 W card provides four independent encode/decode engines, and FFmpeg or cloud-native transcoders address each GPU separately over the PCIe Gen4 x16 host interface. The 64 GB GDDR6 buffer pool supports high-resolution frame batching across concurrent streams. Operators commonly deploy A16-based nodes where power and rack density are constrained, since per-watt transcoding throughput is high compared with CPU-only encoding. Cisco HyperFlex integration simplifies clustering and management of these transcode farms under existing enterprise tooling.
Рекомендуется
Hyperconverged Infrastructure (HCI) GPU Node Buildout
The HCI-GPU-A16 is the ordering SKU for adding GPU acceleration to Cisco HyperFlex clusters: the card ships validated for the M6-generation HCI nodes' power, riser, and directed-airflow design, avoiding integration risk of third-party GPUs. Its dual-slot FHFL footprint and 250 W limit fit standard Cisco PCIe configurations, and Cisco Intersight can monitor the GPUs alongside compute and storage. Deployment guidance: verify PSU headroom for 250 W per card, confirm directed airflow from front to rear over the passive heatsink, and apply the latest Cisco-hosted NVIDIA driver bundles. Clusters mixing HCI-GPU-A16 nodes with compute-only nodes let administrators schedule VDI and inference workloads onto accelerated hosts only.
Рекомендуется
Remote Work and Hybrid Office Desktop Delivery
For hybrid-work programs, NVIDIA pairs the A16 with NVIDIA Virtual PC (vPC) software to deliver full remote desktops to office and home users, and the HCI-GPU-A16 is the Cisco hardware vehicle for that design. Each GPU's NVENC encoder provides a responsive remote-display experience, while the 64 GB total memory sustains high concurrency per card at only 250 W. Compared with the earlier T4-based designs, the A16 doubles per-slot user density and moves to PCIe Gen4, reducing display-stream latency under load. IT teams size clusters by user profile; the estimate of 16-32 vPC users per card is a common planning figure for office productivity workloads on Cisco HyperFlex infrastructure.
Рекомендуется
Сводка рекомендуемых товаров
Справочные инженерные данные для HCI-GPU-A16 — сравнение, рекомендации по проектированию и информация о соответствии.
Руководство по выбору
Сравнение с аналогами
| Параметр | Этот товар | HCI-GPU-A16= | HCI-GPU-A16-M6 | 900-2G171-0000-100 |
|---|---|---|---|---|
| Package / Form Factor | FHFL dual-slot PCIe add-in card | FHFL dual-slot PCIe - same | FHFL dual-slot PCIe - same | FHFL dual-slot PCIe - same |
| Brand | Cisco Systems | Cisco Systems | Cisco Systems | NVIDIA |
| Total Memory | 64 GB GDDR6 | 64 GB GDDR6 | 64 GB GDDR6 | 64 GB GDDR6 |
| GPU Count | 4 GPUs on one board | 4 GPUs | 4 GPUs | 4 GPUs |
| Max Board Power | 250 W | 250 W | 250 W | 250 W |
| Host Interface | PCIe Gen4 x16 | PCIe Gen4 x16 | PCIe Gen4 x16 | PCIe Gen4 x16 |
| Platform Qualification | Cisco compatible platforms | Cisco spare-part code | Cisco M6-generation servers | None (OEM-neutral) |
Ключевые отличия
- Four GPUs per PCIe slot maximizes VDI user density (против 900-2G171-0000-100-class single-GPU cards such as NVIDIA A2)
- Cisco platform validation reduces integration risk (против 900-2G171-0000-100 (bare NVIDIA A16))
- Trade-off: lower memory bandwidth than flagship data center GPUs (против NVIDIA A100-class cards)
Заметки по проектированию
The A16 card is passively cooled: there is no onboard fan, and all 250 W of heat must be removed by directed server airflow across the dual-slot heatsink. Only install the HCI-GPU-A16 in server chassis validated for passive GPUs, such as Cisco UCS C-Series and HyperFlex M6 nodes, and confirm front-to-rear airflow with proper blanking panels. Community feedback also notes the A16 'runs a bit hot' under sustained load, so verify inlet temperatures stay within Cisco's server operating spec. Installing in a desktop chassis without forced airflow will cause thermal throttling or shutdown.
Budget 250 W maximum per card when validating power supplies: a 4-GPU HyperFlex node with two A16 cards needs at least 500 W of GPU headroom above CPU, memory, and disk draw, plus transient margin. Confirm that the Cisco riser/slot provides the required auxiliary GPU power cabling. PCIe Gen4 x16 slots are required to obtain full host bandwidth; Gen3 slots work but reduce display-stream and data-transfer throughput.
Hardware is only half the deployment: vGPU or vPC software licenses are required per concurrent user and must be procured separately from NVIDIA or your reseller. Always install the Cisco-validated NVIDIA driver/vGPU host bundle rather than a generic GeForce driver. Finally, distinguish SKU context before ordering: HCI-GPU-A16 (general), HCI-GPU-A16-M6 (M6-server qualified, retail reference US$9,433.89 as of 2026-10-19), and HCI-GPU-A16= (spare-part code) carry the same hardware but different support and warranty paths.
Информация о соответствии
Distributor listings confirm the HCI-GPU-A16 is TAA compliant. Other environmental compliance statuses were not stated in the provided sources.