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Qualcomm Cloud AI100 Ultra

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Description

Description

The Qualcomm Cloud AI100 Ultra is a next-generation AI inference accelerator purpose-built to deliver maximum efficiency, scalability, and low power consumption for large-scale AI deployments. Unlike traditional GPUs designed primarily for graphics and general-purpose workloads, the AI100 Ultra is optimized exclusively for deep learning inference at scale, enabling enterprises to achieve higher throughput with lower energy and thermal requirements.

 Technical Highlights

  • Host Interface: PCIe Gen4x16 for high-bandwidth connectivity
  • On-board DRAM (VRAM): 128GB with ECC support for enterprise-grade reliability
  • Memory Bandwidth: 548 GB/s, ensuring rapid data transfer for large AI models
  • Power Consumption: Only 150W, significantly lower than comparable GPUs like NVIDIA RTX 5000 Ada (250W)
  • Form Factor: PCIe FH¾L, single-slot design, compact and scalable
  • Cooling Design: Passive cooling, ideal for datacenter or on-prem deployments with reduced noise and energy usage

AI Performance

  • INT8 Inference Capacity: 870 TOPS, delivering unmatched performance for large-scale inference workloads
  • FP8 Precision: 1,044.4 TFLOPS, optimized for next-gen LLMs and mixed-precision AI models
  • FP16 Precision: Up to 290 TFLOPS, providing strong performance for higher-precision AI tasks
  • Multi-Card Scalability: Supports multi-accelerator configurations via PCIe switch, enabling linear performance scaling across multiple cards

Key Advantages

  1. Energy-Efficient AI Acceleration – At only 150W TDP, the AI100 Ultra delivers exceptional performance-per-watt, reducing datacenter operational costs.
  2. Enterprise-Grade Reliability – With 128GB ECC DRAM, it ensures stable operation for mission-critical AI applications.
  3. Scalable Deployment – Multi-card support allows enterprises to scale AI workloads without complex interconnect solutions.
  4. Passive Cooling Architecture – Eliminates the need for noisy active fans, making it suitable for on-prem AI servers and silent edge deployments.
  5. Optimized for LLMs & Multi-Modal AI – Designed to handle Large Language Models (LLMs) up to 70B parameters efficiently, alongside image, speech, and multi-modal AI workloads.

Qualcomm Cloud AI100 Ultra vs NVIDIA RTX 5000 Ada

Feature / Spec Qualcomm Cloud AI100 Ultra NVIDIA RTX 5000 Ada
Host Interface PCIe Gen4x16 PCIe Gen4x16
Display Output N/A 4× DP 1.4a
On-board Memory (VRAM) 128GB (w/ ECC) 32GB GDDR6 (w/ ECC)
Memory Bandwidth 548 GB/s 576 GB/s
Power Consumption 150W 250W
Form Factor PCIe FH¾L, Single-slot 4.4” H × 10.5” L, Dual-slot
ML Capacity (INT8) 870 TOPS N/A
ML Capacity (FP8) 1,044.4 TFLOPS N/A
ML Capacity (FP16) Up to 290 TFLOPS N/A
Multi-Card Support Yes (via PCIe Switch) No NVLink support
Thermal Design Passive Cooling Active Cooling

Summary

The Qualcomm Cloud AI100 Ultra is the ideal solution for enterprises and organizations looking to deploy LLMs, computer vision, NLP, and multi-modal AI applications with maximum efficiency, lower power consumption, and scalable performance. Compared to traditional GPU solutions, the AI100 Ultra provides higher memory capacity, better performance-per-watt, and silent passive cooling, making it the superior choice for on-premise AI servers and datacenter deployments.

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