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Cisco HCI-GPU-A16 | NVIDIA A16 64GB GPU, Quad-GPU VDI, Passive Cooling

SKU:HCI-GPU-A16

Stock Status: Enquire

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Description

The Cisco HCI-GPU-A16 is a specialized GPU accelerator built for high-density virtual desktop infrastructure and remote work environments. Featuring NVIDIA Ampere architecture with four independent 16GB GDDR6 GPUs on a single dual-slot card, it delivers exceptional user density with support for up to 64 concurrent virtual desktop sessions. Ideal for enterprise VDI deployments, cloud workspaces, and virtualized workstations requiring GPU-accelerated graphics.

Features

Quad-GPU board design with four independent NVIDIA Ampere GA107 GPUs for maximum user density
- 64GB total GDDR6 memory with ECC support for reliable virtualized workloads
- 5,120 CUDA cores across four GPUs for parallel graphics and compute processing
- Third-generation Tensor Cores for AI-enhanced graphics and inference acceleration
- Second-generation RT Cores for hardware-accelerated ray tracing in virtual workstations
- Advanced video encoding with 4x NVENC engines supporting H.265, VP9, and AV1 codecs
- 8x NVDEC engines with AV1 decode for next-generation video compression
- PCIe 4.0 x16 interface for high-bandwidth connectivity to host server
- Dual-slot passive cooling design for quiet, reliable data center operation
- Supports up to 64 concurrent VDI sessions per card for exceptional density
- Compatible with NVIDIA vPC and RTX vWS software for virtual desktops and workstations
- Flexible user profile provisioning enables mixed virtual PC and workstation deployments
- SR-IOV support for improved hypervisor virtualization and resource allocation
- MIG-like partitioning with variable memory allocations per virtual GPU
- On-board PCIe switch for fast inter-GPU communication and resource management
- 250W total board power for balanced performance and power efficiency
- Designed for knowledge worker workloads including Office, web, and video conferencing
- Entry-level CAD and design workstation support with NVIDIA RTX vWS software

Warranty

All products sold by XS Network Tech include a 12-month warranty on both new and used items. Our in-house technical team thoroughly tests used hardware prior to sale to ensure enterprise-grade reliability.

All technical data should be verified on the manufacturer data sheets.

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Technical Specifications

FAQs

Technical Specifications

GPU Architecture: NVIDIA Ampere with quad-GPU design (4x independent GA107 GPUs)
- Total Memory: 64GB GDDR6 (4x 16GB per GPU) with ECC support
- Memory Bandwidth: 800 GB/s total (200 GB/s per GPU)
- Memory Interface: 128-bit per GPU
- CUDA Cores: 5,120 total (1,280 per GPU)
- Tensor Cores: 160 total (40 third-generation per GPU)
- RT Cores: 40 total (10 second-generation per GPU)
- PCIe Interface: PCIe 4.0 x16 (Gen4 recommended, Gen3 compatible)
- Total Board Power: 250W TDP (default and maximum)
- Form Factor: Dual-slot full-height full-length (FHFL) passive cooling
- Video Encoding: 4x NVENC engines with H.265, VP9, and AV1 codec support
- Video Decoding: 8x NVDEC engines including AV1 decode
- Max Concurrent Users: Up to 64 VDI sessions per card
- Power Connector: 8-pin EPS
- Board Dimensions: 267mm (L) x 112mm (W)
- Process Technology: Samsung 8nm
- Supported Software: NVIDIA vPC, NVIDIA RTX Virtual Workstation (vWS)

FAQs

Q: What is the primary use case for the NVIDIA A16 GPU?
A: The A16 is purpose-built for high-density virtual desktop infrastructure (VDI) deployments. Its quad-GPU design enables up to 64 concurrent knowledge worker virtual desktop sessions per card, making it ideal for organizations rolling out GPU-accelerated remote work environments for Office 365, web browsing, video conferencing, and light CAD workloads.

Q: How does the quad-GPU architecture work?
A: The A16 features four independent 16GB Ampere GPUs on a single dual-slot card, connected via an on-board PCIe switch. Each GPU operates independently with its own compute and memory stack, allowing flexible allocation for mixed user profiles. IT can provision virtual PCs, entry-level virtual workstations, and even virtualized compute on the same board.

Q: What are the cooling requirements for this GPU?
A: The A16 uses passive cooling and requires adequate server airflow for proper thermal management. It is designed for data center rack servers with front-to-back airflow. Cisco and other OEMs typically require specific air ducts or baffles when installing dual-width GPUs to ensure proper cooling.

Q: Is the A16 suitable for AI training or machine learning workloads?
A: The A16 is optimized for VDI user density, not AI training. While it includes Tensor Cores for AI inference acceleration, its 16GB per-GPU memory and GA107 architecture make it better suited for virtual desktops, graphics virtualization, and entry-level CAD. For dedicated AI workloads, consider compute-optimized GPUs like the A100 or H100.

Q: What server compatibility should I verify before ordering?
A: Verify that your server supports PCIe 4.0 x16 slots, dual-slot GPU form factor, 250W power delivery via 8-pin EPS connector, and passive GPU cooling with appropriate airflow. Cisco UCS C-series and HCI platforms list compatible configurations in their specification sheets. Check slot compatibility and ensure NVIDIA vGPU software licensing is in place for VDI functionality.

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