Topics In Demand
Notification
New

No notification found.

Leveraging L40S GPUs to Accelerate Large Language Models and AI Inference at Scale
Leveraging L40S GPUs to Accelerate Large Language Models and AI Inference at Scale

July 17, 2025

AI

6

0

A new era for enterprise AI is being written—not in boardrooms, but in the hum of powerful data centers worldwide. With AI's rapid ascent, organizations today grapple with a singular challenge: how to answer soaring demand for large language models (LLMs), generative AI, and complex inference without bottlenecking performance or blowing out costs. Enter the L40S GPU: a transformative advancement built on the Ada Lovelace architecture that is redefining scalable AI infrastructure for tech leaders, developers, and decision-makers.

Unveiling the L40S: The Universal AI-Centric GPU

Enterprises have grown familiar with GPUs as the backbone of deep learning, but the L40S represents a quantum leap forward. Featuring 48GB of GDDR6 memory with ECC, a memory bandwidth of 864GB/s, and 18,176 CUDA cores, the L40S isn't just about raw power—it's engineered for the diverse demands of multimodal generative AI, model training, and lightning-fast inference. At just 350W max power consumption, it delivers this performance within tight data center power envelopes.

Boasting up to 1,466 teraflops (TFLOPS) of FP8 AI compute, the L40S delivers over 5X higher inference performance compared to its predecessor, the A40, and even surpasses many current flagship data center GPUs. For enterprises shifting from legacy infrastructure, the case for upgrading is clear: accelerate AI application delivery while controlling operational costs.

Engineered for Large Language Models (LLMs) and Modern AI

LLMs and generative AI workloads are uniquely demanding. They require:

  • Massive throughput for training and inference
  • Low-latency response for real-time applications
  • Flexibility for mixed precision and adaptive computing

The L40S addresses these needs with:

  • Third-Generation RT Cores: Deliver up to 212 TFLOPS of ray-tracing performance for accelerated 3D rendering—ideal for AI-powered digital twins and virtual environments.
  • Fourth-Generation Tensor Cores & Transformer Engine: Automatically switch between FP8 and FP16 for up to 6x faster training versus previous generations, optimizing not just speed but also memory utilization.
  • Hardware-accelerated structural sparsity and optimized TF32 format: Out-of-the-box performance boosts without code tweaks—key for enterprise AI teams accelerating time-to-result.

Statistics at a Glance:

Attributes

L40S Specs

GPU Cores (CUDA)

18,176

GPU Memory

48GB GDDR6 (ECC)

FP8 Tensor Performance

1.466 TFLOPS

RT Core Performance

212 TFLOPS

Max Power Consumption

350W

Memory Bandwidth

864GB/s

Peak INT8/INT4 TOPS

1,466

Inference at Scale: Why L40S is a Game Changer

Old assumptions in enterprise AI—build a cluster, scale up, and hope for the best—no longer hold true. As organizations deploy increasingly multidimensional models (think multi-modal LLMs and real-time assistants), efficiency per watt and per dollar is now mission-critical.

The L40S not only brings unmatched performance but also:

  • Supports up to 8 GPUs per host or VM for elastic scaling in cloud or on-premises deployments.
  • Enables real-time, low-latency inference for customer-facing applications, even under unpredictable demand spikes.
  • Virtual GPU (vGPU) software support: Helps securely and flexibly share GPU resources for multi-tenant, multi-workload environments—a must for enterprise IT.

Performance Leap:

  • 1.7x the training performance and 1.5x the inference performance of the A100 Tensor Core GPU.
  • Up to 5X higher inference throughput than A40, meeting the scale of today's generative AI and LLM challenges.

Secure, Reliable, and Enterprise Ready

If your AI is core to business value, security and reliability aren't optional—they're foundational. The L40S delivers:

  • Network Equipment-Building System (NEBS) Level 3 readiness for telecom-grade reliability.
  • Secure boot with root of trust, ensuring cryptographically validated firmware and OS boots—critical for financial, healthcare, and regulated sectors.
  • Passive cooling and dual-slot form factor so data centers can maintain efficient thermal management as density and scale increase.

The L40S is built for 24/7 enterprise operations, designed and tested for maximum uptime and serviceability—qualities CXOs demand for mission-critical deployments.

 

Real-World Impact: Speed, Agility, Business Outcomes

Case in point: L40S acceleration allows enterprise LLM deployments (like Google Gemma or GPT-based tools) to process queries via REST API with industry-leading speed and responsiveness. For product design and architecture, the same L40S-driven infrastructure brings to life renderings in real time—with hardware-accelerated DLSS 3 ensuring immersive, ultra-high-frame-rate visuals.

Cost Efficiency: On-demand cloud L40S instances are available at market-leading rates (starting from $0.70/hour for VMs and $8.80/hour for bare-metal), drastically lowering the barrier for AI innovation even for rapidly scaling startups or global enterprises.

Developer-Friendly: Supports latest frameworks, including PyTorch, TensorFlow, and AI development stacks, with seamless containerization and API integration.

What This Means for Tech Leaders and CXOs

  • Developers unlock faster model iterations, quicker deployment cycles, and the ability to serve LLMs at an unprecedented scale.
  • Enterprises can run more models, more securely, and at lower latency—expanding the scope of AI's business impact.
  • CXOs can align technical roadmaps with business growth, knowing infrastructural investments in the L40S GPU will yield both performance returns and reliability.

 


That the contents of third-party articles/blogs published here on the website, and the interpretation of all information in the article/blogs such as data, maps, numbers, opinions etc. displayed in the article/blogs and views or the opinions expressed within the content are solely of the author's; and do not reflect the opinions and beliefs of NASSCOM or its affiliates in any manner. NASSCOM does not take any liability w.r.t. content in any manner and will not be liable in any manner whatsoever for any kind of liability arising out of any act, error or omission. The contents of third-party article/blogs published, are provided solely as convenience; and the presence of these articles/blogs should not, under any circumstances, be considered as an endorsement of the contents by NASSCOM in any manner; and if you chose to access these articles/blogs , you do so at your own risk.


images
Anuj Bairathi
Founder & CEO

Since 2001, Cyfuture has empowered organizations of all sizes with innovative business solutions, ensuring high performance and an enhanced brand image. Renowned for exceptional service standards and competent IT infrastructure management, our team of over 2,000 experts caters to diverse sectors such as e-commerce, retail, IT, education, banking, and government bodies. With a client-centric approach, we integrate technical expertise with business needs to achieve desired results efficiently. Our vision is to provide an exceptional customer experience, maintaining high standards and embracing state-of-the-art systems. Our services include cloud and infrastructure, big data and analytics, enterprise applications, AI, IoT, and consulting, delivered through modern tier III data centers in India. For more details, visit: https://cyfuture.com/

© Copyright nasscom. All Rights Reserved.