Tesla T4 on Vast.ai
Visit Vast.aiVast.ai's NVIDIA Tesla T4 offering combines the efficiency of this enterprise-grade GPU with the world's lowest-cost decentralized marketplace, making it a standout for budget-conscious ML inference workloads. The T4, built on Turing architecture with 16GB GDDR6 VRAM, delivers 8.1 TFLOPS FP32 and up to 130 TOPS INT8 performance, optimized for deep learning inference, video transcoding, and virtual desktops at just 70W TDP. Vast.ai aggregates hosts globally, enabling per-minute billing and spot instances often below $0.05/hour—up to 80% cheaper than major clouds. Ideal for ML engineers handling production inference, ETL pipelines, or distributed experiments, this setup shines via granular filters like DLPerf per dollar, ensuring high-value selections. Key value propositions include instant scalability, no commitments, and pre-built templates for PyTorch/TensorFlow. While host variability requires vetting listings, verified benchmarks provide confidence for reliable, low-latency INT8/FP16 tasks, democratizing access to capable inference hardware.
Why NVIDIA Tesla T4 on Vast.ai?
Vast.ai paired with the T4 excels for absolute cost minimization in inference-heavy workflows. Its decentralized model sources from thousands of hosts, driving T4 rates to $0.03-$0.10/hour via competitive bidding and spot auctions—unmatched by centralized providers. Granular filters (DLPerf/$, VRAM speed, uptime) let users pinpoint machines optimizing the T4's strengths: efficient mixed-precision inference and low power draw. Per-minute billing suits bursty experiments, while Docker templates enable one-click setups. This combo avoids vendor lock-in, supports global redundancy, and scales to multi-T4 configs, perfectly suiting cost-sensitive prototyping or edge deployment without sacrificing T4's enterprise reliability.
Live Pricing
Real-time NVIDIA Tesla T4 offers from Vast.ai
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA Tesla T4 16GB VRAM | 16GB | 16 vCPU 62GB RAM 3433GB Storage | North Carolina | $0.08/GPU/hr | Sold Out | ||
Vast.ai | NVIDIA Tesla T4 16GB VRAM | 16GB | 8 vCPU 31GB RAM 421GB Storage | Arkansas | $0.09/GPU/hr | Sold Out | ||
Vast.ai | NVIDIA Tesla T4 16GB VRAM | 16GB | 20 vCPU 78GB RAM 375GB Storage | Virginia | $0.13/GPU/hr | Sold Out | ||
Vast.ai | NVIDIA Tesla T4 16GB VRAM | 16GB | 20 vCPU 78GB RAM 376GB Storage | Virginia | $0.13/GPU/hr | Sold Out | ||
Vast.ai | NVIDIA Tesla T4 16GB VRAM | 16GB | 56 vCPU 94GB RAM 258GB Storage | Czechia | $0.15/GPU/hr | Sold Out |
Performance Notes
Expect solid T4 performance on Vast.ai: 8.1 TFLOPS FP32, 65 TFLOPS FP16, 130 TOPS INT8, ideal for inference on models like MobileNet or BERT-base (often 100-500 img/sec ResNet50 FP16 per DLPerf). Host-dependent factors include 1-25Gbps networks, NVMe SSDs (100GB+ typical), and 16-64GB RAM. Multi-GPU scaling (2-8x T4) available on PCIe hosts, but no NVLink—verify listings. Benchmarks via Vast.ai's DLPerf metric guide reliable picks; variability exists due to consumer-grade hosts. Strong for cloud inference/ transcoding, less so for FP32 training. Unknowns: exact CPU pairings, but sufficient for most ML tasks.
A decentralized marketplace for absolute lowest costs and distributed experiments.
Best For
Unique Features
- Granular search filters like DLPerf/$
- Decentralized marketplace
VRAM
16GB
Architecture
Turing
Tier
enterprise
Platform Features
Getting Started
Launch NVIDIA Tesla T4 on Vast.ai quickly through its marketplace: filter for optimal hosts, deploy pre-configured images, and scale inference workloads cost-effectively. No setup overhead—perfect for rapid prototyping or production testing.
Steps
- 1Sign up for a free Vast.ai account and add a payment method.
- 2Search 'Tesla T4', filter by price, DLPerf/$, VRAM speed, and uptime.
- 3Select machine, pick template (e.g., PyTorch, TensorFlow, Ubuntu+CUDA).
- 4Configure options, click 'Rent' to launch and get SSH/Jupyter access.
- 5Run workloads, monitor via dashboard, stop instance to cease billing.
Pro Tips
- Prioritize spot instances for 70-90% discounts, but use checkpoints for interruptible jobs.
- Sort by verified DLPerf and 99%+ uptime to ensure consistent T4 inference performance.
- Leverage ONNX Runtime or TensorRT templates to maximize T4's INT8/FP16 acceleration.
Frequently Asked Questions
What is Vast.ai's billing model for NVIDIA Tesla T4?▾
Vast.ai bills per-hour for GPU instances including NVIDIA Tesla T4. 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 Tesla T4?▾
Yes, Vast.ai offers spot/preemptible instances for NVIDIA Tesla T4, 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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