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NVIDIA L40S GPU
Innovation in AI and Graphics Performance
Advanced Technology: Ada Lovelace architecture with 76.3 billion transistors, built for peak performance
Stunning Speed: Up to 91.6 TFLOPS FP32, 1,466 TFLOPS tensor at FP8, and 212 TFLOPS RT Core performance for AI and graphics tasks
Extended Memory: 48GB GDDR6 memory with ECC for efficiently processing large datasets
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The NVIDIA L40S GPU in short
The NVIDIA L40S GPU is a powerful graphics processor specifically designed for demanding applications like artificial intelligence (AI), high-performance computing (HPC), and graphic rendering. With its innovative technologies and impressive performance, the L40S enables companies and researchers to efficiently perform complex calculations and analyses, which is essential when processing large amounts of data.
Built on the Ada Lovelace architecture, the L40S features impressive specs for AI and HPC. With 76.3 billion transistors, 48 GB of GDDR6 memory, and 864 GB/s memory bandwidth, the L40S is ideal for handling large datasets and complex models. This GPU delivers up to 91.6 TFLOPS of FP32 performance, crucial for high-precision scientific calculations.
This is What You Get with the NVIDIA L40S GPU
Computing Power
The L40S GPU offers up to 91.6 TFLOPS of FP32 performance and a memory bandwidth of 864 GB/s. A teraflop represents a trillion (10^12) calculations per second, meaning the L40S can perform 91.6 trillion calculations per second with single precision.
This capability enables companies to quickly and efficiently execute complex scientific calculations and AI models. Applications such as AI training and real-time data analysis are significantly accelerated, resulting in faster insights and improved decision-making.
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The NVIDIA L40S GPU versus other GPU's
Performance and Efficiency Compared
The NVIDIA L40S GPU offers impressive specifications for AI and graphics performance. With 48 GB of GDDR6 memory and a memory bandwidth of 864 GB/s, the L40S ensures efficient data processing and reduces bottlenecks, which is crucial for AI model training and scientific calculations.
Compared to the NVIDIA H100, which offers similar FP64 performance but less memory and bandwidth, the L40S is optimized for tasks requiring strong computational power in graphics applications. Compared to the B200 GPU, which provides 20 petaflops of AI computing power and 192 GB of HBM3E memory, the L40S is specifically optimized for graphical applications with RT Core performance up to 212 TFLOPS. The B200, on the other hand, provides higher AI computing power and more memory, making it better suited for intensive AI workloads. The A100 offers 40 GB of HBM2 memory and is optimized for AI and HPC, but with lower FP64 performance.
The L40S also supports PCIe Gen4 and has a maximum board power of 350 W, ensuring fast communication between multiple GPUs and improved scalability for AI applications. This makes the L40S ideal for companies and researchers working with intensive AI and graphical workloads.
Specs: NVIDIA L40S Compared
Architecture
Transistors
Memory
Mem bandwidth
NVLink Bandwidth
AI Performance
FP64 Performance
Usability
Blackwell
208 billion
192GB HBM3E
8TB/s
1.8 TB/s
tot 20 petaflops FP4
40 teraflops
AI, HPC, Data Science
Hopper
80 billion
141GB HBM3e
4.8 TB/s
900 GB/s
3,958 TFLOPS FP8
34 teraflops
AI, HPC, Data Science
Hopper
80 billion
80GB HBM2e
3.35 TB/s
900 GB/s
3,958 TFLOPS FP8
34 teraflops
AI, HPC, Data Science
Ada Lovelace
76,3 billion
48GB GDDR6
864 GB/s
N/A - Uses PCIe Gen4
1.466 TFLOPS FP8
91.6 TFLOPS FP32
AI, Graphics, Data Visualization
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