The data center will experience previously unheard-of visual computing performance with the NVIDIA L40 GPU. It gives GPU-accelerated data center workloads next-generation computation, graphics, and AI capabilities. Discover how the Ada Lovelace architecture powers the NVIDIA L40. Get deep technical insights and benefits explained simply and NVIDIA L40 Price in various regions.
Important features of the NVIDIA L40 GPU consist of:
NVIDIA L40 Architecture:
The Ada Lovelace architecture from NVIDIA powers the L40.
Cores
The most recent third-generation RT Cores, fourth-generation Tensor Cores, and CUDA Cores based on the Ada Lovelace architecture are all used. Accelerated single-precision floating point (FP32) throughput and enhanced power efficiency are provided by the Ada Lovelace architecture-based CUDA Cores for applications such as CAE simulation and 3D model development. For mixed precision workloads, they additionally provide enhanced 16-bit math capabilities (BF16).
RT Cores
The third-generation RT Cores improve ray tracing performance and speed up renders for product design and architecture, engineering, and construction workflows by offering increased throughput and concurrent ray tracing and shading capabilities. They make it possible to create realistic designs with real-time animations using hardware-accelerated motion blur. Their real-time ray-tracing performance is up to twice that of the preceding generation.
Tensor Cores:
The fourth-generation Tensor Cores offer performance advantages for quicker AI and data science model training by incorporating hardware support for structural sparsity and optimised TF32 format. In certain applications, they improve performance and provide upscaled resolution by speeding up AI-enhanced graphics capabilities, such as DLSS. For workloads involving visual computing, they offer improved AI capabilities; for deep learning and inference applications, they offer ground-breaking performance.
Memory:
It has 48 gigabytes of GDDR6 memory that has error correction code (ECC). Data science, simulation, 3D modelling, and rendering are among the workloads and applications that benefit from this huge memory capacity.
Virtualization:
The L40 can be virtualized. With NVIDIA RTX Virtual Workstation (vWS) software, it can provide robust virtual workstations from the cloud or data center. This makes it possible for technical and creative professionals to access demanding programs from a distance with performance that is on par with physical workstations. It was stated that support for NVIDIA Virtual GPU software will be available in early 2023, and the program is mentioned as being supported. With vGPU software, next-generation enhancements enable bigger, more potent virtual workstation instances. Large workloads can be distributed by allocating memory to numerous users using vGPU software.
PCI Express:
It is compatible with PCI Express Gen 4, which doubles the bandwidth of PCIe Gen 3 and speeds up data transfers from CPU memory for data-intensive applications like data science and artificial intelligence.
Video Engines:
With three video encode and three video decode engines, the L40 significantly increases the workload associated with streaming and video content. In addition to providing revolutionary performance and enhanced Total Cost of Ownership (TCO) for broadcast streaming, video creation, and transcription processes, it supports AV1 encoding and decoding.
You can also read NVIDIA T4 GPU Price, Memory And Gaming Performance
In the data center, the NVIDIA L40 speeds up a variety of compute-intensive tasks, such as:
Visual Computing: For workloads involving visual computing, it provides the data center’s maximum power and performance.
Rendering and 3D Graphics: Real-time, full-fidelity, interactive rendering, 3D design, and virtual production are examples of high-fidelity creative workflows that are accelerated by rendering and 3D graphics. With the L40, creative workers may use professional 3D visualisation software to boost productivity, render more quickly, and iterate more.
NVIDIA Omniverse Enterprise: The L40 delivers strong RTX and AI capabilities for workloads like extended reality (XR), virtual reality (VR) apps, design collaboration, and digital twins as the data center’s NVIDIA Omniverse engine. It makes it possible to produce photorealistic 3D synthetic data for intricate Omniverse tasks, run physically accurate simulations, and render ray-traced and path-traced images more quickly.
Generative AI and Inference: The L40 provides ground-breaking performance for deep learning and inference applications while speeding up compute-intensive AI tasks. Compared to the previous generation, it offers 5X better inference performance, enabling the production of stunning images and captivating visual material at lightning speed. When paired with NVIDIA AI Enterprise software, the L40’s groundbreaking performance and 48GB of memory make it the perfect platform for image generative AI applications.
Data science and AI training: It is the perfect platform for single-GPU AI training and development because to its robust inference and training capabilities and enterprise-class stability. By providing higher throughput and support for a wide range of precisions, including FP8, it shortens the time to completion for workflows linked to data science, model training, and development.
High-Performance Virtual Workstations: NVIDIA RTX Virtual Workstation (vWS) software, as previously indicated, offers robust virtual workstations.
Streaming and Video Content: Workloads like broadcast streaming, video production, and transcription are improved by streaming and video content.
For enterprise data centre operations, the L40 is made to run around the clock. Its enterprise-grade parts and power-efficient electronics are designed to be reliably and efficiently deployed at scale. It satisfies the most recent data centre requirements, is passively cooled, NEBS Level 3 compliant, and has Secure Boot with Root of Trust technology for security.
Leading OEM partners offer a broad range of NVIDIA-Certified Systems that support the NVIDIA L40. The most recent generation of NVIDIA OVX systems are said to be built on it, offering sophisticated RTX and AI capabilities for building and managing realistic 3D models and simulations.
Benchmarks
An extensive summary of the benchmark performance of the NVIDIA L40 GPU across a range of workloads and applications is provided below:
Gaming & Graphics Benchmarks
- 3DMark Time Spy outscored the 8,000-point NVIDIA GeForce RTX 3080 with 10,000.
- Unigine Heaven’s 60 fps beat AMD Radeon RX 6800 XT‘s 40.
- Strong performance in content creation software is demonstrated by Blender Benchmark, which finished rendering tasks in 1,000 seconds.
AI & Deep Learning Performance
- 10,000 iterations per second were processed by TensorFlow Benchmark, demonstrating its proficiency in machine learning tasks.
- The FastPitch+Hifi-GAN model of conversational AI:
- One stream: 20 seconds is the average latency to the first audio; 160 RTFX is the throughput.
- Ten streams: Average throughput: 430
- RTFX; average latency: 90 seconds.
Cryptographic & Hashing Benchmarks
Hashcat Benchmarks:
- KeePass (Mode 13400): Reached about 322.5 kH/s paces.
- With LastPass (Mode 6800), speeds of about 13,924 kH/s were attained.
- Mode 11300 of Bitcoin Wallet.dat: Reached speeds of about 27,877 H/s.
Synthetic Benchmarks
- With a Geekbench OpenCL score of 330,193, the GPU demonstrated great general-purpose performance.
- With a peak score of 3,390, the Nero Score (AVC GPU) ranked in the top 17% of all GPUs evaluated.
Theoretical Performance Metrics
- Texture Fill Rate: Approximately 1,414 GTexel/s.
- FP32 (Single Precision): Approximately 90.52 TFLOPS.
- FP64 (Double Precision): Approximately 1.414 TFLOPS.
- Pixel Fill Rate: Approximately 478.1 GPixel/s.
Real-World Performance of Applications
- Comparing Large Language Models (LLMs) to the NVIDIA A100 GPU, a 25% boost in training throughput was shown.
- In tasks using Automatic Speech Recognition (ASR), conversational AI demonstrated notable gains in throughput and latency.
The NVIDIA L40 GPU performs well on a range of workloads, such as cryptography, AI, gaming, and content production. Its enormous memory capacity and sophisticated architecture make it a flexible option for business and professional applications.
| Category | Benchmark/Test | Result / Performance |
|---|---|---|
| Gaming & Graphics | 3DMark Time Spy | 10,000 points (better than RTX 3080 – 8,000 pts) |
| Unigine Heaven | 60 FPS (vs 40 FPS on Radeon RX 6800 XT) | |
| Blender Benchmark | Completed in 1,000 seconds | |
| AI & Deep Learning | TensorFlow Benchmark | 10,000 iterations per second |
| FastPitch+HiFi-GAN (1 stream) | 20s latency, 160 RTFX throughput | |
| FastPitch+HiFi-GAN (10 streams) | 90s latency, 430 RTFX throughput | |
| Cryptographic Hashing | Hashcat (KeePass – Mode 13400) | 322.5 kH/s |
| Hashcat (LastPass – Mode 6800) | 13,924 kH/s | |
| Hashcat (Bitcoin Wallet – Mode 11300) | 27,877 H/s | |
| Synthetic Benchmarks | Geekbench OpenCL | 330,193 |
| Nero Score (AVC GPU) | 3,390 (Top 17% GPUs) | |
| Theoretical Metrics | FP32 (Single Precision) | 90.52 TFLOPS |
| FP64 (Double Precision) | 1.414 TFLOPS | |
| Pixel Fill Rate | 478.1 GPixel/s | |
| Texture Fill Rate | 1,414 GTexel/s | |
| Real-World Applications | LLM Training Throughput | 25% higher than NVIDIA A100 |
| Conversational AI (ASR tasks) | Improved streaming throughput and reduced latency |
NVIDIA L40 Price
| Price | Region |
|---|---|
| ₹1,350,000 (~$16,200) | India |
| $11,340 | Global |
| $8,351.99 | USA |
| $5,475 – $6,600 | Global (varies) |
| From $0.70/hour | Global (Cloud Access) |
NVIDIA L40 GPU specs
| GPU Architecture | NVIDIA Ada Lovelace Architecture |
| GPU Memory Bandwidth | 864GB/s |
| GPU Memory | 48 GB GDDR6 with ECC |
| Display Connectors | 4 x DP 1.4a |
| Max Power Consumption | 300W |
| Form Factor | 4.4″ (H) x 10.5″ (L) Dual Slot |
| Thermal | Passive |
| vGPU Software Support | NVIDIA vPC/vApps, NVIDIA RTX Virtual Workstation (vWS) |
| NVENC | NVDEC | 3x | 3x (Includes AV1 Encode & Decode) |
| Secure Boot with Root of Trust | Yes |
| NEBS Ready | Yes / Level 3 |
| Power Connector | 1x PCIe CEM5 16-pin |
In Conclusion
The NVIDIA L40 GPU emphasizes how it helps data centers provide high-performance visual computing. It describes how the L40, which is based on the Ada Lovelace architecture, has improved capabilities for workloads involving graphics, virtualization, computation, and artificial intelligence. The essay highlights how its sophisticated RT Cores and Tensor Cores, massive memory capacity, and data center readiness make it suitable for enterprise applications. The L40 is marketed as a flexible system that can be used for a wide range of tasks, including virtual workstations, AI training, and generative AI and graphics.
