L40S Server for AI Training Features Specs and Pricing

The NVIDIA L40S server offered by Cyfuture Cloud delivers state-of-the-art AI training performance, built on Ada Lovelace architecture with 48GB GDDR6 memory, advanced Tensor and RT Cores, and leading-edge support for multimodal AI, deep learning, and generative workloads. Cyfuture Cloud's L40S servers provide competitive pricing and reliability for scalable enterprise AI solutions, with hourly rates typically ranging from $1.5 to $2.5 per GPU, depending on configuration and commitment level.​

L40S Server Overview

Cyfuture Cloud’s L40S servers are designed for advanced AI, deep learning, and graphics workloads, leveraging the latest NVIDIA Ada Lovelace technology. Their robust infrastructure ensures fast, reliable, and cost-efficient training for enterprise AI initiatives, providing seamless integration with dedicated cloud resources and managed services.​

Key Features & Technical Specs

> GPU Architecture: NVIDIA Ada Lovelace

- Memory: 48GB GDDR6 per GPU, enabling training of large-scale models and supporting multimodal generative AI pipelines.​

> Core Technologies:

- Fourth-generation Tensor Cores

- Third-generation RT (Ray Tracing) Cores

- NVIDIA Transformer Engine for accelerated AI computations​

> Compute Performance:

- Up to 1.7x training performance compared to HGX A100 8-GPU systems

- Over 1 petaFLOPS of inference capability​

> Supported AI Ops:

- Deep learning model training

- Generative AI (images, audio, speech, 2D/3D)

- LLM fine-tuning for up to 175 billion parameters​

> Power Consumption: 350W per GPU (maximum load)​

AI Training and Performance

- Cyfuture Cloud’s servers optimize foundational model training, fine-tuning, and inference, offering more than 5x inference performance over previous-generation GPUs (A40).​

- With multi-GPU configurations (8x L40S), users can achieve rapid convergence for large LLMs (up to 175B parameters), accelerating time-to-market for enterprise AI deployments.

- The platform is fully compatible with NVIDIA-Certified Systems™ and industry-leading AI software stacks, ensuring high compatibility and scalability for custom and off-the-shelf model development.​

Pricing Overview

Pricing for L40S GPU servers depends on deployment scale and reservation term. Here are typical on-demand and reserved rates in October 2025:​

- Cyfuture Cloud provides cost transparency, flexible hourly billing, and custom packages for enterprise users, including options for serverless, spot, and reserved block pricing.​

- Additional managed services, private cloud, and hybrid options available for business continuity and optimization.​

Frequently Asked Questions

Q: Who should use L40S servers from Cyfuture Cloud?
A: Enterprise teams, AI research labs, and businesses running large-scale generative AI, ML model training, and graphics-intensive applications benefit most from L40S servers, thanks to their speed, memory, and scalability.​

Q: Can Cyfuture Cloud support multi-GPU L40S clusters?
A: Yes, Cyfuture Cloud offers multi-GPU setups, configurable clusters, and dedicated support for AI workloads such as LLM training and multimodal inference.​

Q: What additional services are included?
A: Cyfuture Cloud provides managed cloud infrastructure, seamless private cloud integration, and flexible configurations to match enterprise workload requirements.​

Q: How does L40S compare to A100/H100 GPUs for AI?
A: L40S outperforms A100 in generative AI inference and rivals H100 for image-related tasks, while providing cost benefits and excellent scalability for large models.​

Conclusion

Cyfuture Cloud’s L40S server platform delivers leading-edge performance, reliability, and pricing for enterprises undertaking advanced AI model training and multimodal generative workloads. Leveraging NVIDIA’s Ada Lovelace architecture, robust memory, and cutting-edge core technologies, Cyfuture Cloud ensures rapid deployment, seamless scalability, and cost-efficiency for clients worldwide. Discover how Cyfuture Cloud’s GPU infrastructure can power your next-generation AI breakthroughs today.​