Telecom & AI-RAN Solutions: Powering

Smarter Networks

NVIDIA Grace Blackwell GB300: The core of AI-RAN deployments, enabling 40% lower power consumption vs. traditional 5G RAN while generating $15K/month revenue per server via GPU-as-a-service. Critical for carriers like SoftBank and AT&T 

Intel Xeon 6 (Sierra Forest): Dominates vRAN/OpenRAN with 3.2x AI RAN performance uplift and 70% better perf/watt. Adopted by Verizon, Samsung for high-density, liquid-cooled servers

Mellanox ConnectX-8 SuperNIC: 800Gb/s networking for GPU-to-GPU communication in AI-RAN clusters 

AI Server Workhorses: Training & Inference

NVIDIA H100/H200: Essential for LLM training. 8x H100 clusters rent for $14,880/month, while H200 boosts throughput for generative AI

Intel Xeon 6900P: 128 cores + 504MB L3 cache accelerate database/AI workloads, with 5.4x higher Llama2 INT4 inference throughput 

RTX 5090/4090: Cost-effective for edge AI ($799-$650/month). Ideal for startups deploying sub-100B parameter models

How Buyers Search & Select

Telecom Operators: Use keywords like “vRAN ready server,” “AI-RAN GPU pricing,” or “Xeon 6 TCO calculator” focusing on energy savings and ROI timelines.

Cloud Providers: Search “multi-GPU cluster lease,” “Blackwell Ultra availability,” prioritizing scalability and NVLINK bandwidth.

Developers/Enterprises: Look for “RTX 5090 monthly lease” or “low-latency inference GPU,” balancing budget and frame rates.