THE ORIGINAL ISN'T READY TO RETIRE YETV100
A proven platform for deep learning, simulation, and scientific workloads, NVIDIA V100 GPUs continue to deliver consistent performance for organizations seeking cost-effective acceleration with high-precision capabilities.
V100 Performance Highlights
16GB
High-Bandwidth Memory (HBM2) per GPU
7.8 TFLOPS
Double-Precision
Performance (FP64)
32GB/s
L2 Cache Bandwidth
per GPU
1.5x Faster
Training Performance
versus P100
QumulusAI Server Configurations Featuring NVIDIA V100
Our V100-based systems are ideal for teams looking to run parallelized training, simulation, or research workloads with proven infrastructure and optimized memory bandwidth.
GPUs Per Server
8 x NVIDIA V100
Tensor Core GPUs
System Memory
256 GB
DDR4 RAM
CPU
Varies by configuration
(16–24 core processors)
Storage
3.84 TB
NVMe SSD
vCPUs
64 virtual
CPUs
Interconnects
PCIe Gen3 for high-bandwidth connectivity
Ideal Use Cases
Batch Model Training
and Research
Train models or run classical ML experiments with high FP32/FP64 performance and predictable throughput.
Scientific and
Engineering Simulations
Accelerate compute-heavy tasks in domains like computational fluid dynamics, chemistry, and structural modeling.
Academic and
Institutional AI
Access cost-effective compute for curriculum development, pilot projects, and reproducible research pipelines.
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.