RTX 3080 Ti on Vast.ai
Visit Vast.aiVast.ai's NVIDIA GeForce RTX 3080 Ti offering delivers high-end Ampere architecture GPUs with 12GB GDDR6X VRAM through a decentralized marketplace, prioritizing absolute lowest costs for ML and AI workloads. This consumer-tier card, boasting 10240 CUDA cores and robust tensor cores, excels in fine-tuning mid-sized LLMs, image generation, and inference tasks where 12GB VRAM suffices. Noteworthy for cost-sensitive users, it targets indie researchers, startups, and experimenters seeking alternatives to pricier datacenter GPUs. Key value propositions include granular filters like DLPerf/$, per-hour billing from $0.20-$0.60/hr, spot instances for extra savings, and instant access to thousands of global hosts. While host variability introduces some unpredictability, Vast.ai democratizes powerful consumer hardware, enabling distributed experiments at fractions of AWS/GCP prices. Ideal for prototyping and non-production runs, it balances performance and economy effectively.
Why NVIDIA GeForce RTX 3080 Ti on Vast.ai?
Vast.ai pairs perfectly with the RTX 3080 Ti by leveraging its decentralized model to offer the lowest $/hr rates—often under $0.40—driven by host competition. This consumer GPU's affordability and capability (near RTX 3090 performance) align with Vast.ai's focus on cost optimization, making it superior for budget ML tasks versus centralized providers' premiums. Unique advantages include spot instances slashing costs further, DLPerf/$ filters for value-picking high-performers, and flexible scaling for distributed jobs. No long-term commitments or egress fees complement the 3080 Ti's strengths in VRAM-bound workloads, providing ML engineers unmatched economics without sacrificing Ampere-era tensor core acceleration.
Live Pricing
Real-time NVIDIA GeForce RTX 3080 Ti offers from Vast.ai
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | 6×NVIDIA GeForce RTX 3080 Ti 12GB VRAM | 12GB | 8 vCPU 94GB RAM 1527GB Storage | Ukraine | $0.01/GPU/hr $0.04/hr total (6×) | Sold Out | ||
Vast.ai | 6×NVIDIA GeForce RTX 3080 Ti 12GB VRAM | 12GB | 8 vCPU 94GB RAM 1660GB Storage | Ukraine | $0.01/GPU/hr $0.04/hr total (6×) | Sold Out | ||
Vast.ai | NVIDIA GeForce RTX 3080 Ti 12GB VRAM | 12GB | 16 vCPU 63GB RAM 104GB Storage | Hong Kong | $0.03/GPU/hr | Sold Out | ||
Vast.ai | NVIDIA GeForce RTX 3080 Ti 12GB VRAM | 12GB | 16 vCPU 63GB RAM 82GB Storage | Beijing | $0.03/GPU/hr | Sold Out | ||
Vast.ai | NVIDIA GeForce RTX 3080 Ti 12GB VRAM | 12GB | 28 vCPU 16GB RAM 150GB Storage | Ukraine | $0.04/GPU/hr | Sold Out |
Performance Notes
RTX 3080 Ti on Vast.ai yields solid MLPerf-like scores (~80-120 DLPerf), with 34 TFLOPS FP32 and ~136 TFLOPS FP16 tensor performance. Host networks vary (1-10Gbps), storage typically NVMe SSDs (500GB-2TB), supporting fast dataset loading. Multi-GPU (2-4x) possible on select rigs via PCIe 4.0, but no NVLink limits bandwidth-heavy scaling. Consumer cooling may cause 5-10% throttling on sustained 24/7 loads vs. pro cards. Pre-configured images (PyTorch/TensorFlow) ensure quick starts; verify host specs for RAM (32-64GB common). Performance is host-variable—prioritize verified high-uptime machines for consistency.
A decentralized marketplace for absolute lowest costs and distributed experiments.
Best For
Unique Features
- Granular search filters like DLPerf/$
- Decentralized marketplace
VRAM
12GB
Architecture
Ampere
Tier
consumer
Platform Features
Getting Started
Launching RTX 3080 Ti on Vast.ai is straightforward via intuitive web UI. New users create accounts instantly, search/filter thousands of instances, and deploy ML-ready templates with SSH access in minutes—no credit card upfront.
Steps
- 1Sign up for free account on Vast.ai website.
- 2Search 'RTX 3080 Ti', filter by price, DLPerf/$, RAM; sort lowest $/hr.
- 3Select instance, pick Docker image (e.g., PyTorch 2.0), add SSH key.
- 4Rent & Start; connect via SSH using provided IP/port.
- 5Run `nvidia-smi` to verify GPU, install workloads.
Pro Tips
- Prioritize 'verified' hosts with >99% uptime and high DLPerf for reliable ML training.
- Bid on spot instances for 30-50% savings; use templates to resume if preempted.
- Filter for 64GB+ RAM hosts to maximize 12GB VRAM utilization in batched jobs.
Frequently Asked Questions
What is Vast.ai's billing model for NVIDIA GeForce RTX 3080 Ti?▾
Vast.ai bills per-hour for GPU instances including NVIDIA GeForce RTX 3080 Ti. 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 3080 Ti?▾
Yes, Vast.ai offers spot/preemptible instances for NVIDIA GeForce RTX 3080 Ti, 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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