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Cisco HCIX-GPU-A100-80 | A100 80GB Graphics Card, PCIe 4.0, 300W Passive

SKU:HCIX-GPU-A100-80

Stock Status: Enquire

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Description

The Cisco HCIX-GPU-A100-80 features the NVIDIA A100 Tensor Core GPU with 80GB HBM2e memory, delivering exceptional performance for AI training, machine learning inference, and high-performance computing workloads. Built on the Ampere architecture with 6,912 CUDA cores and 432 third-generation Tensor Cores, it provides up to 312 TFLOPS of TF32 performance and 1.94 TB/s memory bandwidth. The passive cooling design requires adequate server airflow and is optimized for dense compute deployments in Cisco UCS C-Series and HyperFlex platforms.

Features

NVIDIA Ampere architecture with 6,912 CUDA cores and 432 third-generation Tensor Cores
- 80GB HBM2e high-bandwidth memory with ECC for data integrity
- Multi-Instance GPU (MIG) technology partitions GPU into up to 7 isolated instances
- Structural sparsity support delivers up to 2x performance for sparse AI models
- Third-generation NVLink interconnect with 600 GB/s bandwidth for multi-GPU scaling
- PCIe 4.0 x16 interface with 64 GB/s bidirectional bandwidth
- SR-IOV virtualization support with up to 20 virtual functions
- Mixed-precision compute: FP64, FP32, TF32, FP16, BF16, INT8, INT4
- 19.5 TFLOPS FP64 Tensor Core performance for scientific computing
- 312 TFLOPS TF32 performance without code changes from FP32
- Support for CUDA, cuDNN, TensorRT, RAPIDS, NGC containers
- Secure Boot and measured boot with Root of Trust
- Compatible with Kubernetes, Docker, Podman, and all major container runtimes
- NVIDIA vComputeServer (vCS) support for virtualized workloads
- Optimized for Cisco UCS and HyperFlex management integration

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 A100 Tensor Core (Ampere architecture)
- Memory: 80GB HBM2e, 5120-bit memory interface
- Memory Bandwidth: Up to 1.94 TB/s (1,935 GB/s)
- CUDA Cores: 6,912
- Tensor Cores: 432 (3rd generation)
- Base Clock: 1,065 MHz, Boost Clock: 1,410 MHz
- FP64 Performance: 9.7 TFLOPS, FP32: 19.5 TFLOPS
- TF32 Tensor Core: 156/312 TFLOPS (non-sparse/sparse)
- FP16 Tensor Core: 312/624 TFLOPS (non-sparse/sparse)
- INT8: 624/1,248 TOPS (non-sparse/sparse)
- Bus Interface: PCIe 4.0 x16
- NVLink: 600 GB/s total bandwidth (3rd generation)
- Multi-Instance GPU (MIG): Up to 7 isolated GPU instances
- Power Consumption: 300W TDP
- Cooling: Passive heat sink (requires system airflow)
- Form Factor: Dual-slot, full-height, double-width
- ECC Memory: Yes
- SR-IOV: Supported (up to 20 virtual functions)
- Compatible Platforms: Cisco UCS C-Series, HyperFlex HX-Series

FAQs

Q: What is Multi-Instance GPU (MIG) and how does it work?
A: MIG technology allows the A100 to be partitioned into up to seven isolated GPU instances, each with dedicated compute resources and up to 10GB of HBM2e memory. Each instance appears as a separate GPU to the operating system, enabling multiple users or workloads to share a single physical GPU while maintaining quality-of-service and isolation. This maximizes GPU utilization in multi-tenant or containerized environments.

Q: Which Cisco server platforms support this GPU?
A: The HCIX-GPU-A100-80 is designed for Cisco UCS C-Series rack servers (such as C240 M6) and HyperFlex HX240c nodes. The GPU requires PCIe 4.0 x16 support and adequate server airflow for passive cooling. Cisco servers typically support up to three of these GPUs in specific riser slot configurations. A unique SBIOS ID is required for compatibility with CIMC and UCSM management.

Q: What are the primary use cases for this GPU?
A: The A100 80GB is optimized for large-scale AI model training, deep learning inference, data analytics, and high-performance computing applications including molecular dynamics, computational fluid dynamics, and genomics. The 80GB memory capacity enables training of the largest transformer models and processing massive datasets without memory constraints. It also excels in mixed-precision workloads using TF32, FP16, and INT8 operations.

Q: What are the power and cooling requirements?
A: This GPU has a 300W TDP and uses passive cooling, requiring adequate server chassis airflow to maintain thermal performance. The card draws power through the PCIe slot and auxiliary power connectors. Ensure your Cisco server power supply has sufficient capacity and that the system meets NVIDIA's airflow requirements for passive-cooled data center GPUs.

Q: How does the PCIe version compare to the SXM version?
A: The PCIe 4.0 version provides 1.94 TB/s memory bandwidth and 300W TDP, while the SXM version offers higher bandwidth (2.04 TB/s) and supports up to 400W TDP. The PCIe version fits standard server motherboards and is ideal for flexible server configurations, whereas SXM requires specialized HGX baseboards but enables direct GPU-to-GPU NVLink connectivity for multi-GPU scaling.

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