Cisco HCIX-GPU-L4 | NVIDIA L4 Tensor Core GPU, 24GB GDDR6, 70W, PCIe 4.0

Q: What workloads is the HCIX-GPU-L4 optimized for?
A: The HCIX-GPU-L4 is optimized for AI inference at scale, video transcoding and processing, virtual desktop infrastructure (VDI), graphics rendering, and visual computing workloads. It delivers up to 120X higher AI video performance compared to CPU-only solutions and 2.5X more generative AI performance than previous generation GPUs.

Q: What Cisco systems are compatible with the HCIX-GPU-L4?
A: The HCIX-GPU-L4 is designed for Cisco Compute Hyperconverged 440p PCIe nodes with Riser 1B or Riser 2B (Gen 4). It is also compatible with Cisco UCS C-Series rack servers including the C220 M7 and C240 M8 when installed in appropriate PCIe Gen 4 or Gen 5 risers. Up to 4 units can be installed in a single Hyperconverged node with the appropriate riser configuration.

Q: Does the HCIX-GPU-L4 require auxiliary power connectors?
A: No, the HCIX-GPU-L4 draws its full 70W power budget directly from the PCIe slot and does not require auxiliary power connectors. This slot-powered design simplifies installation and makes it ideal for space-constrained and edge deployments.

Q: What AI and machine learning frameworks does the L4 support?
A: The NVIDIA L4 supports all major AI frameworks including TensorFlow, PyTorch, ONNX Runtime, and TensorRT for optimized inference. It features fourth-generation Tensor Cores with FP8 precision support, enabling up to 4X higher inference performance. The GPU is part of the NVIDIA AI platform and is compatible with NVIDIA AI Enterprise software for production AI deployment.

Q: What are the key advantages of the Ada Lovelace architecture in the L4?
A: The Ada Lovelace architecture brings fourth-generation Tensor Cores with FP8 precision for accelerated AI inference, third-generation RT Cores with 2X ray-triangle intersection throughput for enhanced graphics, hardware AV1 encode/decode for efficient video processing, and NVIDIA DLSS 3 support. The architecture delivers significant performance improvements while maintaining the energy-efficient 70W TDP in a compact single-slot form factor.