A40 on Crusoe
Visit CrusoeCrusoe's NVIDIA A40 offering delivers enterprise-grade GPU compute in a climate-aligned cloud, harnessing stranded energy sources like flared natural gas to power high-performance workloads with minimal environmental impact. The A40, built on Ampere architecture with 48GB GDDR6 VRAM, excels in professional visualization, rendering, virtual desktops, and AI/ML compute tasks, offering 74.8 TFLOPS FP16 tensor performance and MIG for workload isolation. This combination is noteworthy for organizations with strict ESG mandates, enabling batch training and inference without compromising on sustainability metrics. Key value propositions include per-hour billing, spot instances for cost savings up to 90%, and Crusoe's vertically integrated energy-to-cloud model ensuring reliable, low-latency infrastructure. ML engineers evaluating options will appreciate the balance of A40's memory capacity for large models, tensor core acceleration, and Crusoe's focus on carbon-efficient scaling for long-running jobs.
Why NVIDIA A40 on Crusoe?
Opt for Crusoe's NVIDIA A40 when ESG compliance and cost efficiency are priorities alongside solid enterprise GPU performance. Crusoe's stranded energy model drastically cuts carbon emissions—up to 100x lower than traditional grids—while vertical integration optimizes power delivery for stable A40 operation. Spot instances complement the A40's suitability for interruptible batch workloads like ML training, yielding significant savings. The provider's high-bandwidth networking enhances A40's NVLink multi-GPU scaling for distributed training. This duo suits teams needing 48GB VRAM for memory-intensive models without the overhead of on-prem data centers, blending sustainability with practical ML scalability in a per-hour model.
Live Pricing
Real-time NVIDIA A40 offers from Crusoe
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Crusoe | NVIDIA A40 48GB VRAM | 48GB | 0 vCPU 0GB RAM | United States | $0.40/GPU/hr | |||
Crusoe | NVIDIA A40 48GB VRAM | 48GB | 0 vCPU 0GB RAM | United States | $0.90/GPU/hr |
Performance Notes
Crusoe's A40 delivers benchmark-equivalent Ampere performance: 19.2 TFLOPS FP32, 74.8 TFLOPS FP16 (tensor), with 48GB VRAM ideal for large-batch training or multi-modal models. Expect 100-400 Gbps InfiniBand/RoCE networking for multi-node scaling, supporting efficient NCCL all-reduce. NVMe storage offers high IOPS for datasets; object storage integrates for S3-compatible access. MIG enables up to 7 instances per GPU for isolation. Multi-GPU NVLink scaling works well in dense nodes, but cluster perf varies by config—public MLPerf scores align with peers. Spot interruptions possible; on-demand ensures consistency. Exact bandwidth/storage details in Crusoe docs; no major deviations reported.
A climate-aligned computing provider powering high-performance computing using stranded energy sources to mitigate environmental impact.
Best For
Unique Features
- Vertically integrated energy-to-cloud model
- Use of stranded energy sources
VRAM
48GB
Architecture
Ampere
Tier
enterprise
Platform Features
Getting Started
Launching NVIDIA A40 on Crusoe is efficient via their web console or API. Sign up, select GPU clusters with pre-built ML images (NGC/CUDA), and deploy on-demand or spot for sustainable, scalable compute. Ideal for quick prototyping to production training.
Steps
- 1Sign up for Crusoe Cloud account, verify email, and add billing details.
- 2In console, go to Clusters > Create, select A40 GPU node type and count.
- 3Configure VPC networking, attach NVMe/object storage, choose CUDA image.
- 4Set on-demand/spot pricing, review costs, then launch cluster.
- 5Connect via SSH/Jupyter from dashboard; install workloads with NGC CLI.
Pro Tips
- Use spot instances for batch ML jobs to cut costs 70-90% while tracking carbon via Crusoe's API.
- Enable MIG partitioning on A40 for concurrent inference/training, maximizing GPU utilization.
- Pre-configure autoscaling clusters to handle variable workloads without idle emissions.
Frequently Asked Questions
What is Crusoe's billing model for NVIDIA A40?▾
Crusoe 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 Crusoe offer spot instances for NVIDIA A40?▾
Yes, Crusoe offers spot/preemptible instances for NVIDIA A40, which can reduce costs by 50-80% compared to on-demand pricing. Spot instances are ideal for fault-tolerant workloads like batch inference, hyperparameter tuning, and training jobs with checkpointing. Note that spot instances can be interrupted when demand is high, so ensure your workflow can handle preemption gracefully.
Does Crusoe offer reserved instances for NVIDIA A40?▾
Yes, Crusoe 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 Crusoe for current reserved pricing and commitment terms.
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