L40S on LeaderGPU
Visit LeaderGPULeaderGPU offers the NVIDIA L40S GPU on bare-metal servers, delivering enterprise-grade performance for machine learning, AI, visualization, and compute-intensive workloads. The L40S, built on the Ada Lovelace architecture with 48GB GDDR6 VRAM, provides exceptional capabilities for large model training, inference, generative AI, and rendering tasks. This combination stands out due to LeaderGPU's specialization in high-bandwidth bare-metal infrastructure, eliminating virtualization overhead for maximum GPU utilization. Ideal for ML engineers and data scientists evaluating cost-effective alternatives to major clouds, it targets users needing high VRAM without long-term commitments. Key value propositions include per-minute billing for bursty workloads, flexible weekly/monthly flat rates for sustained use, diverse GPU availability for experimentation, and robust network/storage options suited for data-heavy pipelines. While best known for hash cracking and rendering, the L40S elevates it for professional AI/ML applications, offering a balance of power, efficiency, and accessibility.
Why NVIDIA L40S on LeaderGPU?
Opt for LeaderGPU's NVIDIA L40S when seeking bare-metal deployment for uncompromised performance in AI/ML workloads. The provider's high-bandwidth networking and dedicated servers ensure full GPU passthrough, maximizing the L40S's 48GB VRAM and Ada Lovelace tensor core efficiency without noisy neighbors. Per-minute billing perfectly suits variable ML training cycles, while weekly/monthly flats reduce costs for long runs. Diverse GPU ecosystem allows seamless scaling or testing across configs. This combo leverages LeaderGPU's rendering/hash cracking strengths—high throughput and storage—for ML data processing, providing enterprise reliability at consumer-friendly pricing and flexibility unmatched by virtualized hyperscalers.
Live Pricing
Real-time NVIDIA L40S offers from LeaderGPU
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 8×NVIDIA L40S 48GB VRAM | 48GB | 96 vCPU 768GB RAM 2000GB Storage | Netherlands | $1.43/GPU/hr $11.40/hr total (8×) | Sold Out |
Performance Notes
On LeaderGPU, expect the L40S to deliver full datasheet specs: ~91 TFLOPS FP32, 1,818 TFLOPS sparse Tensor FP16, and 864 GB/s memory bandwidth, optimized for GenAI/VLM training/inference. Bare-metal setup yields low-latency, single-node perf with high network bandwidth (up to 100Gbps+ inferred from provider focus) ideal for distributed training. Multi-GPU scaling possible via diverse configs, though exact topologies unknown—check availability. Fast NVMe storage supports large datasets. No public benchmarks specific to LeaderGPU-L40S; real-world ML perf matches datacenter peers but verify via trial. Limitations: consumer GPU diversity may imply variable CPU/RAM pairings; monitor thermals in sustained loads.
A provider specializing in bare-metal servers with high bandwidth and diverse GPU availability.
Best For
Unique Features
- Flexible weekly/monthly flat-rate billing
- Diverse consumer GPU cards
VRAM
48GB
Architecture
Ada Lovelace
Tier
enterprise
Platform Features
Getting Started
Getting started with NVIDIA L40S on LeaderGPU is straightforward: sign up, select a bare-metal server with the L40S, deploy via per-minute or flat-rate billing, and access full root control for ML setups. Ideal for quick prototyping or production AI workloads.
Steps
- 1Create a free account on the LeaderGPU website and verify payment method.
- 2Browse catalog, select L40S-equipped bare-metal server config (CPU/RAM/storage).
- 3Choose per-minute billing or weekly/monthly flat rate, then deploy OS/image.
- 4Access server via SSH, VNC, or RDP using provided credentials.
- 5Install NVIDIA drivers, CUDA, and ML frameworks like PyTorch/TensorFlow.
Pro Tips
- Leverage pre-configured Docker images or ML Docker Hub for rapid environment setup and reproducibility.
- Use per-minute billing for short experiments; switch to monthly flats for cost savings on long trainings.
- Test multi-GPU scaling early—select servers with multiple L40S for distributed ML jobs.
Frequently Asked Questions
What is LeaderGPU's billing model for NVIDIA L40S?▾
LeaderGPU bills per-minute for GPU instances including NVIDIA L40S. Check their pricing page for the most current billing details.
Does LeaderGPU offer spot instances for NVIDIA L40S?▾
No, LeaderGPU does not currently offer spot instances for NVIDIA L40S. All instances are billed at on-demand rates. However, they do offer reserved instances for committed usage, which can provide significant discounts for long-term workloads.
Does LeaderGPU offer reserved instances for NVIDIA L40S?▾
Yes, LeaderGPU offers reserved instance pricing for NVIDIA L40S, which can provide significant discounts (typically 20-40% off on-demand rates) for committed usage periods. Reserved instances are ideal for predictable, long-running workloads like production inference services, ongoing training pipelines, or development environments that run continuously. Contact LeaderGPU for current reserved pricing and commitment terms.
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