Qualcomm Cloud AI100 Ultra
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
- Energy-Efficient AI Acceleration – At only 150W TDP, the AI100 Ultra delivers exceptional performance-per-watt, reducing datacenter operational costs.
- Enterprise-Grade Reliability – With 128GB ECC DRAM, it ensures stable operation for mission-critical AI applications.
- Scalable Deployment – Multi-card support allows enterprises to scale AI workloads without complex interconnect solutions.
- Passive Cooling Architecture – Eliminates the need for noisy active fans, making it suitable for on-prem AI servers and silent edge deployments.
- 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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