SUPPORT YOUR AI WORKLOAD WITH A WORK HORSEH100 SXM
Scale your most demanding AI workloads with the NVIDIA H100 SXM—optimized for high-throughput training, fine-tuning, and accelerated inference across a wide range of enterprise and research applications.
H100 SXM Performance Highlights
80GB
High-Bandwidth Memory (HBM3e) per GPU
3x Faster
Training Throughput on GPT-3 Compared to A100
2.0TB/s
Memory Bandwidth
per GPU
9x Faster
Transformer Engine Inference Performance vs. A100
QumulusAI Server Configurations Featuring NVIDIA H100 SXM
Our servers are purpose-built to harness the full power of the NVIDIA H100 GPU—delivering stable, high-efficiency compute environments for enterprise and research AI/ML workloads.
GPUs Per Server
8 x NVIDIA H100
Tensor Core GPUs
System Memory
2,048 GB
DDR5 RAM
CPU
2x Intel Xeon Platinum 8468 with 48 cores
Storage
30 TB
NVMe SSD
vCPUs
192 virtual
CPUs
Interconnects
NVIDIA NVLink, providing 900 GB/s GPU-to-GPU bandwidth
Ideal Use Cases
Large-Scale Model Training
Ideal for training foundation models and LLMs, with enhanced memory access and interconnect bandwidth that shortens iteration cycles.
Enterprise AI Development
A proven workhorse for fine-tuning, retraining, and inference optimization—balancing power and cost across production-scale pipelines.
Accelerated Scientific Computing
Run simulations, physics modeling, and data-heavy workloads with precision, taking full advantage of the H100’s Transformer Engine and NVLink architecture.
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.