80 GB
HBM2e Memory
Run 70B+ parameter models on a single GPU.
600 GB/s
NVLink Bandwidth
Third-gen NVLink for multi-GPU scaling.
312
TFLOPS FP16
624 TFLOPS with sparsity enabled.
19.5
TFLOPS FP64
Double-precision hardware for scientific and HPC workloads.
Trusted by ML research teams and developers worldwide
Prices
Per-Minute Billing + Reserved Pricing. Scale up or down instantly with on-demand instances billed by the minute, or lock in lower rates with reserved pricing.
All GPUs are available as VM and Bare Metal
NVIDIA A100 SXM
208
vCPUs
1024 GB
Memory
6x 3.8TB NVMe
Local Storage
80 GB
GPU VRAM
IB 1600G
Interconnect
NVIDIA A100 SXM
128
vCPUs
1024 GB
Memory
4x 3.8TB NVMe
Local Storage
40 GB
GPU VRAM
IB 800G
Interconnect
NVIDIA Cloud Partner
Engineer-Level Support
Integrated Storage
SOC2 Compliant
A100 Deployment Options
Support for single-GPU instances, multi-GPU nodes, and dedicated A100 cluster deployments.
NVIDIA Cloud Partner
NVIDIA H200, H100, A100 GPUs alongside high core count CPUs. NVLink and InfiniBand for fast networking.
Engineer-Level Support
Support requests are handled directly by engineers familiar with AI training, cluster issues, and performance tuning.
Long-Term Savings
Lower your costs by up to 30% when you commit for several months.
Integrated Storage
Local NVMe and scalable network storage built into every deployment.
SOC2 Compliant
Infrastructure aligned with enterprise security and compliance requirements.
A100 Configurations
Per-minute billing with on-demand and reserved options. All configurations available as bare metal, VM, or model endpoints.
Type | GPU Count | GPU VRAM | vCPUs | Memory | Local Storage | Interconnect | Price |
|---|---|---|---|---|---|---|---|
NVIDIA A100 SXM | 8 | 80 GB | 208 | 1024 GB | 6x 3.8TB NVMe | IB 1600G | $1.35 / GPU |
NVIDIA A100 SXM | 8 | 40 GB | 128 | 1024 GB | 4x 3.8TB NVMe | IB 800G | $1.15 / GPU |
NVIDIA A100 PCIe | 4 | 40 GB | 64 | 512 GB | 2x 3.8TB NVMe | - | $1.15 / GPU |
NVIDIA A100 MIG | 1 | 20 GB | 5 | 55 GB | - | - | $0.58 / GPU |
NVIDIA A100 on Denvr AI Cloud
Cost Effective
Available in 80 GB, 40 GB, and 20 GB configurations. Match GPU capacity to your actual workload and avoid overpaying.
Proven Ecosystem
The most widely supported data center GPU in the ML stack. Full compatibility with PyTorch, TensorFlow, JAX, vLLM, and every major training and serving framework.
Distributed Training
TMulti-node scaling with InfiniBand for distributed workloads that don't require H100-class throughput.
Managed Storage
High-performance Weka filesystem and local NVMe available. No external storage to provision for datasets, checkpoints, or model artifacts.
Related GPUs
Compare Denvr GPU options by workload and performance requirements.
Optimized For
Cost-effective inference, fine-tuned models
Distributed training, multi-node scaling
Large model training, high-throughput inference
VRAM
96 GB
80 GB
80 GB
Memory Bandwidth
2,450 GB/s
2,039 GB/s
3,350 GB/s
FP64/FP32
-
19.5 TFLOPS
67 TFLOPS
FP16
432 TFLOPS
312 TFLOPS
1,979 TFLOPS
FP8
865 TFLOPS
-
3,958 TFLOPS
NVLink
-
600 GB/s
900 GB/s
Testimonials
See what customers say about working with Denvr.
Internal Technologies
"We were incredibly impressed by the out-of-the-box ease of use and cross platform support we experienced when running our fine-tuned custom Blockify large language model on Denvr AI Services."
John Hanby IV
Founder and CEO
University of Calgary
"Denvr Dataworks allowed us to proof-run high-level compute with a high-level interconnect, which allowed us to do multi-node training at low cost..."
Yani Ioannou
Assistant Professor, PhD
Interested in deploying NVIDIA A100 GPUs for training, inference, or large-scale AI workloads?
Contact our team to discuss availability, configurations, pricing, and deployment options. We’ll help you determine the right solution to meet your performance and scalability needs.
Infrastructure you can trust at scale
As an NVIDIA Cloud Partner we build and operate AI clusters following NVIDIA Reference Architectures. Your models and data are supported via strict privacy safeguards and SOC 2 Type 2 security practices.
