L40S on Vast.ai
Visit Vast.aiVast.ai offers the NVIDIA L40S, a 48GB GDDR6 enterprise-grade GPU based on the Ada Lovelace architecture, through its decentralized marketplace. This combination stands out for delivering high-performance data center GPUs at the absolute lowest market rates, ideal for cost-conscious ML engineers running training, inference, or visualization workloads. The L40S excels in demanding AI tasks with its 18,176 CUDA cores, 568 Tensor cores, and up to 91 TFLOPS FP32 performance, balancing compute and memory for large models like LLMs or generative AI. Vast.ai's peer-to-peer model aggregates hosts worldwide, enabling granular filtering by DLPerf/$, uptime, and specs for optimal selection. Key value propositions include per-hour billing with spot instances for up to 80% savings, support for distributed experiments across diverse hardware, and seamless Docker/Jupyter integration. Target audience: budget-limited researchers, startups, and hobbyists needing enterprise power without cloud premiums. While host variability exists, verified DLPerf benchmarks ensure reliable performance picks, making it a go-to for scalable, economical AI prototyping.
Why NVIDIA L40S on Vast.ai?
Choose Vast.ai for NVIDIA L40S to access enterprise-tier hardware at rock-bottom prices via its decentralized marketplace, often under $0.50/hour versus $2+ on major clouds. The platform's strengths—granular filters like DLPerf/$, price/GB, and host ratings—complement the L40S's versatility for AI training/inference by letting users pinpoint high-value instances quickly. Spot instances amplify savings for interruptible jobs, while per-hour billing suits bursty workloads. Vast.ai's global host diversity ensures L40S availability without queues, and its API/tools facilitate distributed scaling. This combo shines for experimenters prioritizing cost over guaranteed SLAs, unlocking 48GB VRAM for large-batch training or fine-tuning at fractions of traditional costs.
Live Pricing
Real-time NVIDIA L40S offers from Vast.ai
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA L40S 48GB VRAM | 48GB | 8 vCPU 62GB RAM 195GB Storage | Virginia | $0.03/GPU/hr | Sold Out | ||
Vast.ai | NVIDIA L40S 48GB VRAM | 48GB | 32 vCPU 188GB RAM 2795GB Storage | Sweden | $0.35/GPU/hr | Sold Out | ||
Vast.ai | 4×NVIDIA L40S 48GB VRAM | 48GB | 128 vCPU 252GB RAM 1415GB Storage | Japan | $0.47/GPU/hr $1.87/hr total (4×) | Sold Out | ||
Vast.ai | 2×NVIDIA L40S 48GB VRAM | 48GB | 256 vCPU 378GB RAM 5868GB Storage | Slovenia | $0.80/GPU/hr $1.60/hr total (2×) | Available | ||
Vast.ai | NVIDIA L40S 48GB VRAM | 48GB | 256 vCPU 189GB RAM 2934GB Storage | Slovenia | $0.80/GPU/hr | Available |
Performance Notes
On Vast.ai, L40S delivers strong Ada Lovelace performance: ~91 TFLOPS FP32, 1,821 TFLOPS sparse FP8 for inference-heavy AI. Expect solid single-GPU results for models up to 70B parameters, but multi-GPU scaling varies by host—NVLink rare, relying on PCIe/NIC (1-100Gbps). Network bandwidth typically 1-10Gbps consumer-grade, suitable for data-parallel but limiting all-reduce in large clusters. Storage: NVMe SSDs common (1-8TB), with fast local I/O. DLPerf benchmarks (e.g., ResNet50) guide selection; top hosts hit 80-90% of peak. Unknowns include consistent CPU pairing (e.g., Xeon/EPYC) and power limits, so verify host specs. Overall, excellent value for cost-sensitive workloads, less ideal for latency-critical production.
A decentralized marketplace for absolute lowest costs and distributed experiments.
Best For
Unique Features
- Granular search filters like DLPerf/$
- Decentralized marketplace
VRAM
48GB
Architecture
Ada Lovelace
Tier
enterprise
Platform Features
Getting Started
Getting started with NVIDIA L40S on Vast.ai is straightforward via its intuitive web interface. Sign up, search the marketplace for L40S instances, apply filters for price/performance, and launch pre-configured templates with CUDA, PyTorch, or Jupyter. Connect via SSH/VNC for immediate workloads—perfect for quick AI experiments without setup hassle.
Steps
- 1Create a free Vast.ai account and add payment method for billing.
- 2Search 'L40S' and filter by DLPerf/$, VRAM, uptime >99%, and price.
- 3Select a verified host, choose template (e.g., Ubuntu+CUDA 12), and set spot/on-demand.
- 4Launch instance; note IP/credentials, then SSH or access Jupyter dashboard.
- 5Install dependencies via Docker and monitor usage in dashboard.
Pro Tips
- Prioritize hosts with DLPerf >500 and 100Gbps NIC for best training throughput and reliability.
- Use spot instances for non-urgent jobs to save 50-80%; set auto-relaunch for resilience.
- Benchmark your workload on short rentals first to validate host performance before scaling.
Frequently Asked Questions
What is Vast.ai's billing model for NVIDIA L40S?▾
Vast.ai bills per-hour for GPU instances including NVIDIA L40S. 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 L40S?▾
Yes, Vast.ai offers spot/preemptible instances for NVIDIA L40S, 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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