RTX 3090 on Vast.ai
Visit Vast.aiVast.ai's NVIDIA GeForce RTX 3090 offering delivers 24GB VRAM Ampere GPUs through a decentralized marketplace, enabling ML engineers to access high-end consumer hardware at the lowest market rates. This combination stands out for cost-sensitive workloads like fine-tuning large models (up to 13B params), diffusion-based generation, and distributed experiments, where traditional clouds charge 2-3x more. Target audience: budget-conscious researchers, indie devs, and startups prioritizing $/perf over SLAs. Key value propositions include per-hour billing from $0.30-$0.60/hr, spot instances for 30-50% extra savings, granular filters like DLPerf/$ to optimize performance-per-dollar, and instant scaling across 10,000+ global hosts. While host variability requires vetting, it democratizes RTX 3090's 35.6 TFLOPS FP32 and 142 TFLOPS Tensor FP16 for practical ML prototyping and inference.
Why NVIDIA GeForce RTX 3090 on Vast.ai?
Vast.ai pairs perfectly with RTX 3090 for absolute cost minimization in ML tasks leveraging its 24GB VRAM. The decentralized marketplace sources from individual hosts worldwide, yielding prices 50-70% below AWS/GCP equivalents, with spot auctions dropping further. Unique edges: DLPerf/$ sorting identifies efficient hosts, granular filters for VRAM/CPU/RAM, and easy multi-GPU discovery. This amplifies the 3090's strengths in memory-bound workloads like LoRA fine-tuning or Stable Diffusion, suiting non-prod experiments where minor latency variance is acceptable. Ideal when production SLAs aren't needed, offering unmatched $/TFLOPS for distributed training or batch inference.
Live Pricing
Real-time NVIDIA GeForce RTX 3090 offers from Vast.ai
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 64 vCPU 31GB RAM 289GB Storage | Oregon | $0.01/GPU/hr | Sold Out | ||
Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 8 vCPU 31GB RAM 329GB Storage | France | $0.01/GPU/hr $0.05/hr total (4×) | Sold Out | ||
Vast.ai | 2×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 64 vCPU 94GB RAM 1595GB Storage | Estonia | $0.01/GPU/hr $0.03/hr total (2×) | Sold Out | ||
Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 252GB RAM 1244GB Storage | Finland | $0.27/GPU/hr $1.07/hr total (4×) | Available | ||
Vast.ai | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 96 vCPU 25GB RAM 756GB Storage | Czechia | $0.37/GPU/hr | Available |
Performance Notes
RTX 3090 on Vast.ai provides robust ML perf: 10496 CUDA cores, 328 Tensor cores, 24GB GDDR6X VRAM, ~100 TFLOPS FP16 with TensorRT. Suited for training mid-size LLMs or CV models. Network varies (1-10Gbps), storage typically 500GB-4TB NVMe SSDs, RAM 32-128GB DDR4. Multi-GPU scaling via NCCL achieves 80-95% efficiency on 2-8x setups, but host-dependent. DLPerf benchmarks guide selection; consumer cooling may throttle >80% util long-term. No uniform perf guarantees—test via short rentals. Strengths: high VRAM density; limitations: variable interconnects, no InfiniBand.
A decentralized marketplace for absolute lowest costs and distributed experiments.
Best For
Unique Features
- Granular search filters like DLPerf/$
- Decentralized marketplace
VRAM
24GB
Architecture
Ampere
Tier
consumer
Platform Features
Getting Started
Launch RTX 3090 instances on Vast.ai quickly via intuitive dashboard. Filter for specs, rent on-demand/spot, and deploy ML containers. Pre-built images support PyTorch, TensorFlow, Jupyter for instant productivity.
Steps
- 1Create Vast.ai account, verify email, add funds via card/crypto (min $10).
- 2Search 'RTX 3090', filter by price/DLPerf/$, uptime >99%, sort lowest $/hr.
- 3Select instance type (on-demand/spot), choose Docker image (e.g., pytorch:2.1), set SSH key.
- 4Rent machine, connect via SSH/Jupyter from dashboard.
- 5Run benchmarks, install deps, start ML workload with checkpointing.
Pro Tips
- Filter hosts by DLPerf/$ >100 and reliability score >4.5 stars for optimal perf/cost balance.
- Opt for spot instances on non-urgent jobs to cut costs 30-50%; enable auto-resume scripts.
- For multi-GPU, select 4x+ RTX 3090 rigs and verify NCCL perf with NCCL-tests before scaling.
Frequently Asked Questions
What is Vast.ai's billing model for NVIDIA GeForce RTX 3090?▾
Vast.ai bills per-hour for GPU instances including NVIDIA GeForce RTX 3090. 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 GeForce RTX 3090?▾
Yes, Vast.ai offers spot/preemptible instances for NVIDIA GeForce RTX 3090, 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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