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Cisco UCSC-GPU-A10 | NVIDIA A10 24GB GDDR6 GPU, 150W Passive, PCIe 4.0

SKU:UCSC-GPU-A10

Stock Status: Enquire

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Description

The Cisco UCSC-GPU-A10 is a compact, single-slot NVIDIA A10 Tensor Core GPU designed for data center inference, virtual desktop infrastructure, and AI workloads. Built on NVIDIA Ampere architecture with 24GB of GDDR6 memory and 150W passive cooling, this PCIe Gen 4 accelerator delivers efficient performance for virtualized graphics, rendering, and compute-intensive applications in Cisco UCS rack servers.

Features

NVIDIA Ampere architecture with second-generation RT Cores and third-generation Tensor Cores
- 24GB GDDR6 ECC memory for data integrity in critical compute tasks
- PCIe Gen 4 x16 interface for maximum bandwidth and throughput
- Supports NVIDIA vGPU software for flexible virtualization and multi-tenant deployments
- Hardware-accelerated video encoding and decoding with AV1 support
- Single-slot, full-height, full-length passive form factor for high-density deployments
- Secure boot with hardware root of trust for firmware integrity
- Up to 2x ray tracing performance over previous generation for photorealistic rendering
- CUDA cores optimized for FP32 and mixed-precision AI workloads
- Compatible with NVIDIA NGC catalog and CUDA-X libraries for AI development
- NEBS Level 3 ready for telecom and edge data center environments
- Optimized for CAD, engineering simulation, and data science workloads

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: NVIDIA A10 Tensor Core, Ampere architecture
- Memory: 24GB GDDR6 with ECC
- Memory Bandwidth: 600 GB/s
- Interface: PCIe 4.0 x16 (64 GB/s bidirectional)
- FP32 Performance: 31.2 TFLOPS
- Tensor Core Performance: 125 TFLOPS (FP16), 250 TOPS (INT8)
- RT Cores: 72 second-generation ray tracing cores
- Form Factor: Single-slot, full-height, full-length (FHFL)
- Thermal Design Power: 150W passive cooling
- Encoder/Decoder: 1x encoder, 1x decoder with AV1 decode support
- vGPU Support: NVIDIA Virtual PC, Virtual Applications, RTX Virtual Workstation, Virtual Compute Server
- Compatible Platforms: Cisco UCS C220 M6, C225 M6, C240 M6, C245 M6
- Security: Secure and measured boot with hardware root of trust
- Dimensions: 10.5 inches L x 4.3 inches H (single-slot)
- Power Connector: 8-pin PCIe

FAQs

Q: What workloads is the UCSC-GPU-A10 optimized for?
A: The NVIDIA A10 is optimized for virtual desktop infrastructure, AI inference, mainstream graphics rendering, virtual workstations, and compute-intensive applications. It excels in multi-tenant data center environments where efficient GPU virtualization is required.

Q: Which Cisco UCS servers support this GPU?
A: The UCSC-GPU-A10 is compatible with Cisco UCS C220 M6, C225 M6, C240 M6, and C245 M6 rack servers. It requires a unique SBIOS ID configured by Cisco Integrated Management Controller or UCS Manager, so Cisco-supplied cards are recommended for proper functionality.

Q: Does this GPU require active cooling or supplemental power?
A: The A10 uses passive cooling and relies on server chassis airflow to maintain safe operating temperatures. It requires an 8-pin PCIe power connector and consumes up to 150W under full load.

Q: Can I partition this GPU for multiple virtual machines?
A: Yes, with NVIDIA vGPU software licenses, the A10 supports GPU virtualization and partitioning, enabling multiple users or workloads to share GPU resources securely. It is compatible with NVIDIA Virtual PC, Virtual Applications, RTX Virtual Workstation, and Virtual Compute Server software.

Q: What is the benefit of the single-slot form factor?
A: The single-slot design allows for higher GPU density in standard rack servers, enabling multiple GPUs to be installed in a single chassis. This is ideal for scaling VDI deployments, AI inference clusters, or virtualized graphics workloads without requiring specialized wide-slot chassis.

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