A40 on Denvr
Visit DenvrDenvr's NVIDIA A40 offering combines a high-end 48GB Ampere GPU with cutting-edge infrastructure optimized for enterprise ML and AI workloads. The A40 excels in professional visualization, rendering, and compute tasks, delivering Tensor Core acceleration for FP32/FP16/INT8 operations alongside ample VRAM for large models. Denvr's standout feature is 100% liquid immersion cooling in modular data centers, enabling industry-leading PUE (under 1.1 typically) for energy-efficient, high-density clusters. This is noteworthy for enterprises seeking sustainable compute with Canadian data residency compliance, minimizing carbon footprints while sustaining peak A40 performance (300W TDP) without thermal limits. Per-hour billing offers flexibility for variable workloads like model training, inference, or VDI. ML engineers evaluating options will appreciate the balance of performance, scalability, and green credentials, ideal for high-density deployments where air-cooled alternatives falter. Key value propositions include cost savings from efficiency, rapid provisioning, and eco-aligned operations.
Why NVIDIA A40 on Denvr?
Opt for Denvr's NVIDIA A40 when prioritizing sustainability, high density, and Canadian data sovereignty. Liquid immersion cooling perfectly matches the A40's power demands, preventing throttling in dense racks and achieving superior PUE for lower TCO versus air-cooled providers. This enables tighter GPU packing, amplifying cluster throughput for memory-bound ML tasks. Per-hour billing aligns with bursty AI workflows, avoiding long-term commitments. Enterprises under ESG pressures benefit from Denvr's modular, green infrastructure complementing A40's enterprise features like MIG partitioning for multi-tenancy. Unlike generic clouds, this combo delivers reliable, efficient performance for rendering, simulation, and training at scale.
Live Pricing
Real-time NVIDIA A40 offers from Denvr
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() Denvr | 4×NVIDIA A40 48GB VRAM | 48GB | 128 vCPU 512GB RAM 7600GB Storage | Virginia | $0.65/GPU/hr $2.60/hr total (4×) |

Performance Notes
Expect solid A40 performance on Denvr: up to 74 TFLOPS FP32, 298 TFLOPS TF32 Tensor, with 48GB GDDR6 for large-batch training or inference. Liquid cooling sustains boost clocks in high-density setups, outperforming air-cooled peers. Multi-GPU scaling via NVLink (up to 600 GB/s) or InfiniBand likely supported, though exact interconnects unconfirmed publicly. Storage options probably include fast NVMe; network bandwidth adequate for distributed ML (e.g., 100-400 Gbps). No provider-specific benchmarks available—real-world results depend on config. Strong for viz/rendering; ML training viable but test scaling. Honest caveat: limited transparency on optimizations.
A provider focused on high-efficiency infrastructure using 100% liquid immersion cooling for energy-efficient, high-density compute clusters.
Best For
Unique Features
- Modular, liquid-immersion cooled data centers
- Industry-leading Power Usage Effectiveness (PUE)
VRAM
48GB
Architecture
Ampere
Tier
enterprise
Platform Features
Getting Started
Launch NVIDIA A40 on Denvr quickly through their intuitive dashboard. Select pre-built ML images with CUDA, PyTorch, or TensorFlow. Per-hour billing and Canadian regions ensure compliance and cost-efficiency for rapid prototyping or production workloads.
Steps
- 1Sign up for Denvr account and complete verification for access.
- 2Browse GPU catalog, select NVIDIA A40 instance type and region.
- 3Customize config: vCPUs, RAM, storage, and networking options.
- 4Deploy instance; access via SSH or web console with keys.
- 5Load Docker images or install ML frameworks to start workloads.
Pro Tips
- Maximize GPU density in multi-instance setups to fully utilize immersion cooling efficiency.
- Enable MIG partitioning on A40 for concurrent workloads like inference + training.
- Track resource metrics and PUE via dashboard for optimal cost and sustainability.
Frequently Asked Questions
What is Denvr's billing model for NVIDIA A40?▾
Denvr bills per-hour for GPU instances including NVIDIA A40. Hourly billing means you pay for full hours even if your job completes mid-hour. Plan your workloads accordingly to maximize cost efficiency.
Does Denvr offer spot instances for NVIDIA A40?▾
No, Denvr does not currently offer spot instances for NVIDIA A40. All instances are billed at on-demand rates. However, they do offer reserved instances for committed usage, which can provide significant discounts for long-term workloads.
How can I access NVIDIA A40 instances on Denvr?▾
Denvr provides access to NVIDIA A40 instances via SSH, built-in Jupyter notebooks. The built-in Jupyter notebook support makes it easy to start experimenting immediately without additional setup. SSH access gives you full control over the instance for custom configurations and production deployments.
What compliance certifications does Denvr have for NVIDIA A40 workloads?▾
Denvr maintains GDPR certification, making it suitable for regulated workloads. Contact Denvr directly for detailed compliance documentation and BAA agreements if needed.
Can I use NVIDIA A40 with Kubernetes on Denvr?▾
Yes, Denvr supports Kubernetes for orchestrating NVIDIA A40 workloads. This enables you to deploy scalable ML pipelines, manage distributed training jobs across multiple GPUs, and integrate with MLOps tools like Kubeflow, Argo Workflows, and KServe. Kubernetes support is essential for teams building production-grade ML infrastructure.
What are the specifications of the NVIDIA A40?▾
The NVIDIA A40 features 48GB of high-bandwidth memory, built on NVIDIA's Ampere architecture. As an enterprise-tier GPU, it's designed for large-scale AI training, inference at scale, and demanding HPC workloads. The substantial VRAM capacity supports large language models, complex neural networks, and multi-model deployments.
What workloads is NVIDIA A40 on Denvr best suited for?▾
The NVIDIA A40 on Denvr is well-suited for large-scale AI/ML training, LLM fine-tuning, batch inference at scale, and high-performance computing workloads. Denvr specifically excels at: Enterprises needing sustainable, high-density compute; Canadian data residency requirements. Consider your model size, training data volume, and latency requirements when evaluating this combination for your specific use case.
Does Denvr offer reserved instances for NVIDIA A40?▾
Yes, Denvr offers reserved instance pricing for NVIDIA A40, which can provide significant discounts (typically 20-40% off on-demand rates) for committed usage periods. Reserved instances are ideal for predictable, long-running workloads like production inference services, ongoing training pipelines, or development environments that run continuously. Contact Denvr for current reserved pricing and commitment terms.
What unique features does Denvr offer for NVIDIA A40?▾
Denvr differentiates itself with: Modular, liquid-immersion cooled data centers; Industry-leading Power Usage Effectiveness (PUE). These features may provide advantages depending on your specific workflow requirements and technical needs. Evaluate how these capabilities align with your ML infrastructure goals when making your decision.
How do I get started with NVIDIA A40 on Denvr?▾
To get started with NVIDIA A40 on Denvr, visit https://www.denvrdata.com?utm_source=gpuperhour&utm_medium=referral to create an account. Most providers offer a straightforward signup process, and some provide initial credits for new users. Once registered, you can typically launch a NVIDIA A40 instance within minutes through their dashboard or API. We recommend starting with a small experiment to familiarize yourself with the platform before scaling up to larger workloads.
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