A100 SXM4 80GB on Crusoe
Visit CrusoeCrusoe delivers the NVIDIA A100 SXM4 80GB GPU, a premier Ampere architecture offering with 80GB HBM2e VRAM, tailored for demanding AI, ML, and HPC workloads in a climate-aligned cloud platform. This combination stands out by harnessing stranded energy sources like flared natural gas, drastically reducing carbon emissions while providing enterprise-grade performance. Ideal for organizations with strict ESG mandates, it's perfect for batch training of large models, simulations, and data analytics where sustainability metrics are critical. Key value propositions include per-hour billing for flexibility, spot instances for cost savings up to 70%, and a vertically integrated energy-to-cloud model ensuring reliability and low-latency infrastructure. ML engineers gain exceptional memory capacity for handling massive datasets and models (e.g., 70B+ parameters), complemented by Crusoe's focus on efficient, scalable compute that aligns high-performance needs with environmental responsibility without performance trade-offs.
Why NVIDIA A100 SXM4 80GB on Crusoe?
Opt for Crusoe with the A100 SXM4 80GB to combine cutting-edge GPU capabilities with unparalleled sustainability. Crusoe's use of stranded energy minimizes environmental impact, offsetting the A100's 400W TDP and high compute demands, appealing to ESG-driven enterprises. The vertically integrated stack delivers optimized networking and storage, enhancing the GPU's NVLink for multi-node scaling. Per-hour billing and spot instances provide cost efficiency for variable workloads like fine-tuning or inference, often 30-50% cheaper than traditional clouds. This setup excels for batch jobs where carbon tracking is key, offering reliable uptime and ML-optimized images without the overhead of legacy providers.
Live Pricing
Real-time NVIDIA A100 SXM4 80GB offers from Crusoe
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Crusoe | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 0 vCPU 0GB RAM | United States | $1.30/GPU/hr | |||
Crusoe | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 0 vCPU 0GB RAM | United States | $2.30/GPU/hr |
Performance Notes
The A100 SXM4 80GB delivers Ampere-leading specs: 19.5 TFLOPS FP64, 312 TFLOPS TF32, and 624 TFLOPS FP16 with sparsity, ideal for training/inference on large models. On Crusoe, expect strong multi-GPU scaling via NVLink (up to 600 GB/s/node) and InfiniBand/RoCE networking (200-400 Gbps inter-node, per docs). NVMe storage options support high IOPS for datasets. Benchmarks show excellent LoRA/PEFT performance due to 80GB VRAM. Specific Crusoe benchmarks are limited publicly; real-world scaling depends on instance size (e.g., 8x pods). Monitor provider dashboards for NCCL efficiency and power utilization.
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
80GB
Architecture
Ampere
Tier
enterprise
Platform Features
Getting Started
Launching NVIDIA A100 SXM4 80GB on Crusoe is user-friendly via their web console. New users can spin up instances in minutes with pre-built ML environments like Lambda Stack (PyTorch/TensorFlow/CUDA). Focus on selecting configs for your workload, funding via credits, and connecting securely for seamless development.
Steps
- 1Sign up at crusoecloud.com and complete email/phone verification.
- 2Add payment method or purchase compute credits.
- 3Go to 'Instances' > Select A100 80GB (single/multi-GPU), OS image, and storage.
- 4Configure network/security, then launch the instance.
- 5Connect via SSH/JupyterHub using provided keys/endpoints.
Pro Tips
- Enable spot instances for batch training to save 50-70% on costs during low-demand periods.
- Use Lambda Stack images for instant CUDA 12.x + ML frameworks setup, reducing env config time.
- Track carbon emissions and costs via Crusoe dashboard for ESG reporting and optimization.
Frequently Asked Questions
What is Crusoe's billing model for NVIDIA A100 SXM4 80GB?▾
Crusoe bills per-hour for GPU instances including NVIDIA A100 SXM4 80GB. 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 A100 SXM4 80GB?▾
Yes, Crusoe offers spot/preemptible instances for NVIDIA A100 SXM4 80GB, 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 A100 SXM4 80GB?▾
Yes, Crusoe offers reserved instance pricing for NVIDIA A100 SXM4 80GB, 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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