THE AGE OF AI REASONING IS HERE

B200 SXM

Built on NVIDIA’s revolutionary Blackwell architecture, B200 SXM GPUs deliver unmatched performance for frontier model training, multi-trillion parameter inference, and enterprise-scale generative AI workloads.

B200 SXM Performance Highlights

192GB

High-Bandwidth Memory
(HBM3e) per GPU

1.4x Faster

Training Throughput vs. H100 on LLM Benchmarks

8TB/s

Memory Bandwidth
per GPU

20x Efficiency

Trillion-Parameter Inference vs. Hopper Architecture

QumulusAI Server Configurations Featuring NVIDIA B200 SXM

Our B200 SXM systems are engineered to support the next generation of AI workloads—offering peak performance, massive memory capacity, and best-in-class parallelization for LLMs, diffusion models, and real-time inference.

GPUs Per Server

8 x NVIDIA B200
Blackwell Tensor Core GPUs

System Memory

3,072 GB
DDR5 RAM

CPU

2x Intel Xeon Platinum 6960P (72 cores & 144 threads)

Storage

30.72 TB
NVMe SSD (4x 7.68TB)

vCPUs

144 virtual
CPUs

Interconnects

NVIDIA NVLink, providing up to 1.8 TB/s GPU-to-GPU bandwidth

Ideal Use Cases


Frontier Model
Training

Designed to power the next wave of foundational models with massive memory and compute throughput at scale.


Trillion-Parameter
Inference

Deploy ultra-large models with accelerated inference performance, reduced latency, and improved energy efficiency.


Real-Time
Generative AI

Enable production-grade generation pipelines for text, code, video, and multimodal applications with low-latency output and optimized runtime performance.


Why Choose QumulusAI?

Guaranteed
Availability

Secure dedicated access to the latest NVIDIA GPUs, ensuring your projects proceed without delay.

Optimal
Configurations

Our server builds are optimized to meet and often exceed industry standards for high performance compute.

Support
Included

Benefit from our deep industry expertise without paying any support fees tied to your usage.

Custom
Pricing

Achieve superior performance without compromising your budget, with custom predictable pricing.