L40S GPU Rental

The A100 is better suited for training workloads thanks to its HBM2e memory and higher memory bandwidth. The L40S, on the other hand, excels at inference and mixed AI+graphics workloads with its 48GB GDDR6 memory, 3rd generation RT Cores for ray tracing, and lower cost per hour. If your primary use case is inference or visual computing, the L40S offers significantly better value.

Yes, the L40S is excellent for LLM inference. With 48GB of GDDR6 memory, it can handle models up to 30B parameters comfortably. It delivers high throughput with INT8 and FP16 precision support, making it ideal for production LLM deployment at a lower cost than H100. For inference-heavy workloads, the L40S provides outstanding price-performance.

The L40S uniquely combines strong AI acceleration with professional graphics capabilities, including 3rd generation RT Cores for ray tracing and hardware video encode/decode. It is the only data center GPU that offers both powerful AI inference performance and full graphics capabilities, making it ideal for workloads that require both AI and visual computing, such as AI-powered video editing, generative visual content, and virtual production.

Yes, the L40S can handle training for small to medium-sized models effectively. However, its GDDR6 memory bandwidth is lower than HBM found in A100 and H100, so for large-scale training workloads, those GPUs are better choices. The L40S truly excels at inference, where its 48GB memory and strong INT8/FP16 performance provide excellent throughput at a competitive price.

The L40S features hardware NVENC/NVDEC engines supporting H.264, H.265, and AV1 codecs at up to 8K resolution. This makes it perfect for cloud gaming, live streaming, video transcoding, and video analytics workloads. The combination of AI acceleration and hardware video processing enables advanced use cases like real-time video analytics and AI-powered content creation.

The L40S has 48GB of memory compared to 24GB on the RTX 4090, along with ECC memory support and data center-grade reliability. This makes the L40S significantly better for production inference workloads where uptime and memory capacity matter. The RTX 4090 is a more affordable option for development and experimentation, but the L40S is the clear choice for deployment at scale.

There's no minimum! Spheron charges by the hour with per-minute billing granularity. Rent an L40S for just an hour to test your workload, or keep it running for months. You only pay for what you use with no long-term contracts or commitments.

Yes, the 48GB of GDDR6 memory allows you to run 2-3 smaller models (around 7B parameters each) or 1 larger model (up to 30B parameters) simultaneously. The L40S also supports NVIDIA MPS (Multi-Process Service) for efficient multi-process GPU sharing, enabling you to serve multiple models concurrently with optimized resource utilization.

L40S GPUs are currently available in US Region, Europe, and Canada. We're continuously expanding capacity and regions. Check our app or contact sales for specific region requirements.

Yes! We provide 24/7 technical support for production workloads. Our team has deep expertise in GPU infrastructure and can help with troubleshooting issue with GPU VM and bare metal servers. Enterprise customers get dedicated support channels and SLA guarantees.

Yes, Spheron offers Spot instances for L40S at significantly reduced rates (up to 70% savings). However, Spot instances can be interrupted when demand increases. Key risks include: potential job interruption during training/inference, loss of unsaved state or checkpoints, and need to restart from last saved checkpoint. Best practices: implement frequent checkpointing (every 15-30 minutes), use Spot for fault-tolerant workloads, save model weights to persistent storage regularly, and consider Spot for development/testing rather than production inference. For critical production workloads, we recommend dedicated instances with SLA guarantees.