AI Inference Server Dual-GPU 48GB

CGA Carrier-Grade Analysis designs and manufactures optical power meters, light sources, visual fault locators, optical multimeters, optical spectrum analyzers, eye diagram analyzers, BERT, OTDR, fibe...
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AI Workstation Build Guide | Hardware & Setup 2025

Complete guide to building an AI workstation. GPU selection, multi-GPU setups, cooling, and component recommendations.

LLM GPU Buyer''s Guide (April 2026): Best VRAM per

Discover the best GPUs for local LLM inference based on VRAM-per-dollar, from used RTX 3090s to the new RTX 5090 endgame. Will it fit my model?

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Dual-GPU builds with increased VRAM capacities are becoming increasingly popular within local LLM communities, with multi-GPU workflows gradually becoming more accessible to

NVIDIA GPU Servers for AI, Inference, Training, HPC

Pre-installed with AI/ML software stack (PyTorch, TensorFlow, CUDA). Powered by the latest NVIDIA Blackwell architecture, AMD EPYC or Intel Xeons processors, our GPU optimized AI servers deliver

RTX 6000 Ada Generation Graphics Card | NVIDIA

Built on the NVIDIA Ada Lovelace GPU architecture, the RTX 6000 combines third-generation RT Cores, fourth-generation Tensor Cores, and next-gen CUDA® cores with 48GB of graphics memory

The NVIDIA L40s GPU With 48GB of GDDR6 memory | Sharon AI

With 48GB of GDDR6 memory, third-generation RT cores, and fourth-generation Tensor cores, it is optimized for virtual workstations, AI training, rendering, and complex visual computing tasks, making

I Tried the 48GB RTX 8000 for Local LLMs – Just to See If It Could

I tested the 48GB Quadro RTX 8000 for local LLM inference to see if it could outperform dual RTX 3090s. From VRAM advantages to real-world speed tests.

Homelab Ai Server Rig Tips, Tricks, Gotchas and Takeaways

It has been around three months since I built a dedicated Ai server and I have learned a lot in this time. This rig houses a quad 3090 GPU setup on an AMD Epyc Rome motherboard and CPU.

AI INFERENCE SERVER

Dual NVIDIA RTX 3090 (24GB VRAM each = 48GB total). All models verified to fit in 48GB VRAM. Process long context windows with 256GB system RAM. 256GB DDR4 System RAM

LLM GPU Buyer''s Guide (April 2026): Best VRAM per Dollar Tier List

Discover the best GPUs for local LLM inference based on VRAM-per-dollar, from used RTX 3090s to the new RTX 5090 endgame. Will it fit my model? Here''s your shortcut to quickly

AI Hosting for AI Training & Inference Servers | GPU Mart

Power your AI workloads with high-performance GPU hosting designed for speed, stability, and cost efficiency. Instantly deploy NVIDIA-powered servers to run LLMs, model training, and inference with

Optical Power Meters & Sources

High-precision power meters (Ge/InGaAs) and stabilized light sources for insertion loss and return loss testing.

OTDR & Fiber Characterization

Full-featured OTDR, fiber OTDR testers, and modular OTDR test modules for network deployment and troubleshooting.

OSA & Eye Diagram Analyzer

High-resolution OSA for DWDM and eye diagram testers for signal integrity validation.

BERT & Endface Inspection

BERT up to 800G, fiber endface inspection probes, and extinction ratio meters for comprehensive testing.

Test & Measurement Insights & Technical Resources

Contact CGA Carrier-Grade Analysis

We provide custom optical test solutions, from handheld power meters to high-end OSA and BERT systems.
From prototype to mass production, our team ensures premium quality and technical support.

Unit 5, High Tech Business Park, 15 Innovation Drive, Century City, Cape Town, 7441, South Africa

+27 71 539 4287  |  +27 71 539 4287  |  [email protected]