A100 SXM4 80GB on Vast.ai
Visit Vast.aiVast.ai offers the NVIDIA A100 SXM4 80GB, a top-tier Ampere architecture GPU with 80GB HBM2e VRAM, tailored for demanding AI, ML, and HPC workloads in data centers. This enterprise-grade GPU delivers up to 19.5 TFLOPS FP64, 312 TFLOPS TF32, and exceptional multi-instance GPU (MIG) support for efficient resource partitioning. On Vast.ai's decentralized marketplace, it stands out for providing access at the absolute lowest costs—often under $1/hour—via competitive peer-hosted rentals and spot instances. Ideal for ML engineers running large language models, fine-tuning, or distributed training experiments, this combo excels in cost-sensitive scenarios where hyperscalers like AWS or GCP prove prohibitively expensive. Unique granular filters like DLPerf/$ (deep learning performance per dollar) enable precise selection of high-value instances. While host variability introduces some unpredictability, the platform's vast inventory ensures quick availability for scalable, budget-optimized deployments.
Why NVIDIA A100 SXM4 80GB on Vast.ai?
Choose Vast.ai for NVIDIA A100 SXM4 80GB to access enterprise-grade 80GB VRAM at rock-bottom prices through its decentralized P2P marketplace, where hosts compete to offer rates as low as $0.50-$1.00/hour versus $3+/hour on traditional clouds. Spot (interruptible) instances slash costs further for fault-tolerant workloads. Granular search filters—DLPerf/$, reliability scores, and exact GPU configs—help pinpoint optimal hosts matching your needs, like high-bandwidth NVLink for multi-GPU. This complements the A100's prowess in training massive models (e.g., 70B+ params) by democratizing high-memory GPU access for solo researchers, startups, and experimenters prioritizing cost over managed services.
Live Pricing
Real-time NVIDIA A100 SXM4 80GB offers from Vast.ai
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | 8×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 240 vCPU 1772GB RAM 13827GB Storage | Virginia | $0.08/GPU/hr $0.62/hr total (8×) | Sold Out | ||
Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 40 vCPU 94GB RAM 1598GB Storage | Alberta | $0.25/GPU/hr | Sold Out | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 40 vCPU 125GB RAM 200GB Storage | Alberta | $0.25/GPU/hr $0.51/hr total (2×) | Sold Out | ||
Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 128 vCPU 126GB RAM 721GB Storage | Czechia | $1.09/GPU/hr | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 128 vCPU 252GB RAM 1442GB Storage | Czechia | $1.09/GPU/hr $2.19/hr total (2×) | Available |
Performance Notes
Expect flagship A100 SXM4 80GB performance: 624 GB/s memory bandwidth, NVLink support for multi-GPU scaling up to 8-way. On Vast.ai, outcomes vary by host—network speeds range from 1-100 Gbps, storage from SSD to NVMe (often 1-10TB), and interconnects may lack full DGX uniformity. Single A100 suits inference/fine-tuning of large models; multi-GPU setups scale well for distributed training via NCCL. Benchmarks like MLPerf show near-native speeds on premium hosts, but verify DLPerf scores. Unknowns include consistent uptime and exact cooling; test short rentals first. Overall, strong value for cost-sensitive ML but monitor for host-specific quirks.
A decentralized marketplace for absolute lowest costs and distributed experiments.
Best For
Unique Features
- Granular search filters like DLPerf/$
- Decentralized marketplace
VRAM
80GB
Architecture
Ampere
Tier
enterprise
Platform Features
Getting Started
Getting started on Vast.ai with NVIDIA A100 SXM4 80GB is straightforward via its intuitive web interface. Sign up, search the marketplace for verified 80GB A100 instances, apply filters for price/performance, and launch Docker-based templates preloaded with CUDA, PyTorch, or TensorFlow. Rentals start instantly, billed per-second with no commitments—perfect for quick experiments.
Steps
- 1Create a free Vast.ai account and add payment method.
- 2Search 'A100 80GB SXM4', filter by DLPerf/$, price, uptime, and region.
- 3Select a reliable host (check reviews/scores), choose on-demand or spot.
- 4Pick image (e.g., PyTorch 2.0+CUDA12), configure SSH/ Jupyter, and rent.
- 5Connect via SSH/Jupyter and verify GPU with `nvidia-smi`.
Pro Tips
- Opt for spot instances to cut costs 50-70% for checkpointed training workloads.
- Filter by 'Verified' hosts and DLPerf >100 for balanced perf/price.
- Use auto-relaunch and persistent storage for uninterrupted long runs.
Frequently Asked Questions
What is Vast.ai's billing model for NVIDIA A100 SXM4 80GB?▾
Vast.ai 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 Vast.ai offer spot instances for NVIDIA A100 SXM4 80GB?▾
Yes, Vast.ai 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.
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