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Cisco HCI-GPU-L4 | L4 Tensor Core GPU, 24GB GDDR6, 72W, PCIe Gen4

SKU:HCI-GPU-L4

Stock Status: Enquire

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Description

The Cisco HCI-GPU-L4 is an NVIDIA L4 Tensor Core GPU designed for AI inference, video transcoding, virtual desktops, and graphics acceleration in hyperconverged infrastructure environments. Built on the Ada Lovelace architecture with 24GB GDDR6 memory and a 72W thermal design power, this single-slot, low-profile PCIe Gen4 x16 card delivers efficient AI and video performance for enterprise data centers and edge deployments. Its compact form factor and low power draw enable dense GPU deployment without special cooling or auxiliary power requirements.

Features

NVIDIA Ada Lovelace architecture with 4nm process technology
- Fourth-generation Tensor Cores with FP8, FP16, and TF32 precision support
- Third-generation RT Cores for ray tracing acceleration
- 24GB GDDR6 memory for handling large AI models and datasets
- 300 GB/s memory bandwidth for high-throughput data processing
- Hardware-accelerated AV1 encode and decode for next-generation video
- Dual NVENC video encoders and quad NVDEC video decoders
- NVIDIA DLSS 3 (Deep Learning Super Sampling) technology
- Support for CUDA, TensorRT, Triton Inference Server, and NVIDIA AI Enterprise software
- Single-slot, low-profile (HHHL) form factor for maximum density
- 72W TDP enables slot-only power delivery without auxiliary connectors
- Passive cooling design for quiet operation and reliability
- PCIe Gen4 x16 interface with 64 GB/s bidirectional bandwidth
- Optimized for video analytics, AI inference, and virtual GPU workloads
- Compatible with VMware vSphere, Nutanix AHV, and NVIDIA vGPU 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: NVIDIA L4 Tensor Core GPU (Ada Lovelace architecture)
- Memory: 24GB GDDR6
- Memory Bandwidth: 300 GB/s
- Form Factor: Single-slot, low-profile, half-height half-length (HHHL)
- Interface: PCIe Gen4 x16 (64 GB/s bidirectional)
- Thermal Design Power (TDP): 72W maximum
- FP32 Performance: 30.3 TFLOPS
- TF32 Tensor Core: 120 TFLOPS
- FP16 Tensor Core: 242 TFLOPS
- FP8 Tensor Core: 485 TFLOPS
- INT8 Tensor Core: 485 TOPS
- Video Engines: 2x NVENC, 4x NVDEC, 4x JPEG decoders
- Power Delivery: Slot-powered (no auxiliary PCIe power connectors required)
- Cooling: Passive cooling design
- Compatibility: Cisco Compute Hyperconverged with Nutanix platforms

FAQs

Q: What Cisco platforms support the HCI-GPU-L4?
A: The HCI-GPU-L4 is designed for Cisco Compute Hyperconverged with Nutanix environments, including the HCIAF220C M7 and HCINX225 M8 series servers. It requires a PCIe Gen4 x16 slot and is compatible with systems managed through Cisco Intersight.

Q: Does the L4 GPU require external power connectors?
A: No, the L4 GPU draws its entire 72W power budget directly from the PCIe slot, eliminating the need for auxiliary power cables. This simplifies installation and enables deployment in space-constrained servers.

Q: What workloads is the L4 GPU optimized for?
A: The L4 excels at AI inference, video transcoding and streaming, virtual desktop infrastructure (VDI), graphics acceleration, and generative AI applications. Its fourth-generation Tensor Cores with FP8 precision support and hardware AV1 encode/decode make it ideal for production inference workloads and video processing at scale.

Q: How does the L4 compare to the previous generation T4?
A: The L4 delivers approximately 2.5X better generative AI performance and 4X higher graphics performance than the T4, while maintaining the same 72W power envelope and single-slot, low-profile form factor. It also adds support for FP8 precision, AV1 encoding, and DLSS 3 technology.

Q: Can multiple L4 GPUs be installed in the same server?
A: Yes, the L4's low 72W power draw and single-slot form factor enable multiple GPUs per server without requiring power distribution or cooling upgrades. However, mixing GPU types within the same Cisco HCI cluster is not supported—all GPUs must be the same model.

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