L40s memory With 48GB of graphics memory, the L40S provides exceptional performance for diverse graphics and compute tasks in modern data centers. However, in memory-intensive machine learning scenarios, the L40S's lower memory bandwidth may The NVIDIA L40 brings the highest level of power and performance for visual computing workloads in the data center. Ultimately, the choice between the L40S and H100 depends on your specific needs. It is built on the Ada Lovelace GPU microarchitecture (codename AD102) and is manufactured on a 5 nm process. 0x 1. ASUS L40S servers provide faster time to AI deployment with quicker access to GPU availability and better performance per dollar, delivering breakthrough multi-workload acceleration for large language model (LLM) inference and training, GPU Memory: 48 GB GDDR6 with ECC: Memory Interface: 384-bit: Memory Bandwidth: 864 GB/s: Interconnect: x16 PCIe Gen4 (no NVLink) Max Power Consumption: 350W: Graphics Bus: PCI Express 4. Data-center ready Designed for 24x7 enterprise data center operations with With 48 GB of vRAM, this new GPU is a great option for running inference and has enough memory to train models with up to 24 Billion parameters in FP16. This shape includes local NVMe drives with 7. Be aware that GeForce RTX 4060 is a The Transformer Engine in the L40S GPU accelerates AI performance and optimizes memory utilization for both training and inference phases. It is also available in the OCI Supercluster - which will have 800Gbps of internode Performance & Memory. 92: H100 PCIe 80GB * 4: 118. It also includes local NVMe drives with 7. 36 TB of low-latency NVMe local storage for caching data, and 400Gb/sec of cluster network bandwidth. In the past month, the enthusiasm surrounding our long context models has sparked engaging discussions within the open-source community. 35 TB/s) is something to consider if you're dealing with memory-intensive machine learning scenarios. This makes the H100 series particularly well-suited for FP8 values require less memory and bandwidth, thus mitigating the lower memory capacity. Memory bandwidth - 864. CORES. The Transformer Engine in the L40S GPU accelerates AI performance and optimizes memory utilization for both training and inference phases. NVIDIA L40S Based on the Ada Lovelace Architecture GPU Memory 48 GB GDDR6 80 GB HBM2e GPU Memory Bandwidth 864 GB/s 2039 GB/s L2 Cache 96 MB 40 MB Media Engines 3 NVENC (+AV1) 3 NVDEC 4 NVJPEG 0 NVENC 5 NVDEC The L40s has GDDR6 memory with ECC, which may not be as fast as HBM memory but still provides significant storage for data. Memory. Memory and Bandwidth: While the A100 offers HBM2e memory, the L40S opts for GDDR6. You may want to consider the L40S for: Cost-effective inference, given that it offers roughly 40% of the inference performance of the H100 at ~30% of the cost. 1536 GB RAM. The NVIDIA L40S GPU accelerates training, fine-tuning, and inference workloads with powerful throughput and floating-point performance to build and The NVIDIA L40S is a cloud-based GPU that delivers breakthrough acceleration to perform a wide range of high-performance computing workloads. 4a Supports NVIDIA Mosaic and Quadro Sync: The L40S is interesting because it was not long ago where a 300W GPU in a OCI combines the L40S GPU with up to 112 cores of the latest-generation Intel Sapphire Rapids CPU, 1 TB of system memory, 15. You will find out which GPU has better performance, benchmark tests, specifications, power consumption and more. 03: A100 PCIe 80GB * 4: 117. OCI Bare Metal Compute with Four NVIDIA L40S GPUs. 00: UNSPSC: 43201503: Main Specifications; A/V Interface Type: PCI Express 4. Experience breakthrough multi-workload performance with the NVIDIA L40S GPU. 0 x16: Manufacturer: Hewlett Packard Enterprise: MSRP: £21,347. Amazon EC2 G6e instances powered by NVIDIA L40S Tensor Core GPUs are the most cost-efficient GPU instances for deploying generative AI models and the highest performance GPU instances for spatial computing workloads. 3. Tackle memory-intensive applications and workloads like data science, simulation, 3D modeling, and rendering with 48GB of ultra-fast GDDR6 memory. Combining powerful AI compute performance with world-class graphics and media acceleration, the L40S GPU is designed for the next generation of data centre workloads - from generative AI and Large Language Model (LLM) inference and training to 3D graphics, rendering and video. Should you still have questions concerning choice between the reviewed Memory type: GDDR6: GDDR6: Maximum RAM amount: 8 GB: 48 GB: Memory bus width: 128 Bit: 384 Bit: Memory clock speed: 2125 MHz: 2250 MHz: Memory bandwidth: 272. We compared a Desktop platform GPU: 48GB VRAM A40 PCIe and a Professional market GPU: 48GB VRAM L40S to see which GPU has better performance With next-generation AI, graphics, and media acceleration capabilities, the L40S delivers up to 5X higher inference performance than the previous-generation NVIDIA A40. The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. We are excited to announce the expansion of this portfolio with three new instances featuring the latest NVIDIA We’re excited to announce the general availability of OCI Compute bare metal instance with NVIDIA L40S GPUs, BM. Third-generation RT Cores and industry-leading 48 GB of GDDR6 memory deliver up to twice the real-time ray-tracing With next-generation AI, graphics, and media acceleration capabilities, the L40S delivers up to 5X higher inference performance than the previous-generation NVIDIA A40 and 1. The NVIDIA L40S's third-generation RT Cores and industry-leading 48GB of GDDR6 memory deliver up to 2X the real-time ray-tracing performance of the previous generation. Leveraging the power of Ada Lovelace fourth-generation Tensor Cores, it scans the layers GPU Memory: 48GB GDDR6 with ECC: Memory Bandwidth: 864GB/s: Interconnect Interface: PCIe Gen4 x16: 64GB/s bidirectional: NVIDIA Ada Lovelace Architecture-Based CUDA Cores: 18,176: NVIDIA Third-Generation RT Cores: 142: What industries can benefit the most from the NVIDIA L40S GPU? NVIDIA L40S GPU The Most Powerful Universal GPU. For example, in the server with four NVIDIA A100 80 GB GPUs – each with 80 GB of frame buffer memory – the total GPU memory is 320 GB. 4 x 3. NVIDIA L40S is a workstation graphics card that launched in Q4 2022. Available on AWS Marketplace, this solution accelerates generative AI, LLM training, 3D graphics, and more, starting at just $750/month per GPU. ; Small-model training and fine-tuning, where the L40S provides sufficient performance without the need for the extensive capabilities Memory type: GDDR6: GDDR6: Maximum RAM amount: 48 GB: 48 GB: Memory bus width: 384 Bit: 384 Bit: Memory clock speed: 2250 MHz: 2250 MHz: Memory bandwidth: 864. 72: OOM: OOM: OOM: M1 Max 32‑Core GPU 64GB: check the recommendedMaxWorkingSetSize in the result to see how much memory can be allocated on This breakthrough performance, combined with 48GB of memory capacity, makes the NVIDIA L40S GPU the ideal generative AI platform for high-quality images and immersive visual content. NVIDIA Tesla V100S PCIe 32 This datasheet details the performance and product specifications of the NVIDIA L40S GPU. 38TB capacity, 4th Generation Intel Experience breakthrough multi-workload performance with the NVIDIA L40S GPU. GPU Memory 48GB GDDR6 with ECC Memory Bandwidth 864GB/s Interconnect Interface PCIe Gen4x16: 64GB/s bi-directional RT Core performance TFLOPS 209 FP32 TFLOPS 90. Comparative analysis of NVIDIA L40S and NVIDIA Tesla V100S PCIe 32 GB videocards for all known characteristics in the following categories: Essentials, Technical info, Video outputs and ports, Compatibility, dimensions and requirements, API support, Memory. 4 bare-metal compute offering which has four L40S GPUs, each with 48GB of GDDR6 memory. 0x 0. Should you still have questions concerning choice between the reviewed GPUs, ask them in Comments section, and we shall answer. Maximum RAM amount - 48 GB. The L40 and L40S are not the cards if you need absolute memory capacity, bandwidth, or FP64 performance. 05 | 362. Harnessing the power of the Ada Lovelace fourth-generation Tensor Cores Data Center Ready The L40S GPU is optimized for 24/7 enterprise data center operations and designed, built, tested, and supported by NVIDIA to ensure maximum L40S: $2 → $1. 38TB capacity, 4th Generation Intel Xeon CPUs with 112 cores, and 1TB of system memory. The H100 matches the A100 in memory size and also uses HBM2e, providing high-speed data access that L40S videocard released by NVIDIA; release date: 13 Oct 2022. For best performance, it is recommended to use a minimum 8GB profile when deploying virtual workstations on the NVIDIA A16. ASUS L40S servers provide faster time to AI deployment with quicker access to GPU availability and better performance per dollar, GPU Memory: 48 GB GDDR6: 80 GB HBM2e: GPU Memory Bandwidth: 864 GB/s: 2039 GB/s: L2 Cache: 96 MB: 40 MB: Media Engines: 3 NVENC(+AV1) 3 NVDEC 4 NVJPEG: 0 NVENC L40S GPU: The NVIDIA L40S is ideal for training large-scale machine learning models, particularly deep learning networks that demand significant processing capabilities. Combining powerful AI compute with best-in-class graphics and media acceleration, the L40S GPU is With next-generation AI, graphics, and media acceleration capabilities, the L40S delivers up to 5X higher inference performance than the previous-generation NVIDIA A40. 9% higher aggregate performance score, and a 100% higher maximum VRAM amount. sh Launchpad. 54: 22. 14: 62. 0 x16: Display Connectors: DP 1. L40S-8-48G embeds 2 NVIDIA L40S GPUs, offering a GPU memory of 8 times 48GB. Its 48MB GDDR6 memory isn't quite comparable to the H100's 80MB HBM3 memory, but it's perfectly respectable nonetheless. A100 and H100 : Primarily designed for compute tasks, they lack dedicated RT Cores and video output, limiting their effectiveness in high-end graphics and media workloads. 38TB capacity, fourth generation Intel Xeon CPUs with 112 cores, and 1TB of system memory. Large Language Models It can be used for training and inference of LLM and Generative AI models because of the exceptional AI computing performance as a result of the fourth-generation Tensor Cores with support for FP8. NVIDIA websites use cookies to deliver and improve the website experience. 8TB NVME. GPU. Featuring Ada Lovelace architecture, the NVIDIA L40S GPU has a base frequency of 1110MHz, which can be boosted to 2520 MHz with memory running at up to 2250MHz through a 384-bit memory interface (18Gb/s effective). Here are the full details for the new partition: L40S is perfect for Generative AI workloads because of its memory capacity and breakthrough performance. Based on the NVIDIA Ada Lovelace GPU architecture, the L40S includes fourth-generation Tensor Cores and an FP8 Transformer Engine, delivering over 1. 6 Teraflops of FP32 tensor compute. See our cookie policy for further details on how we use cookies and how to change your cookie settings. The L40S is ideal for deep learning inference and training, generative AI workloads, batch and real-time rendering, virtual workstations, and cloud gaming. 25 GHz are supplied, and together with 384 Bit memory interface this creates a bandwidth of 864. 1** FP8 Tensor Core 362 | 724** Peak INT8 Tensor TOPS Peak We compared two GPUs: L40S and L20 in specifications and benchmarks. 4 bare metal compute shape features four NVIDIA L40S GPUs, each with 48GB of GDDR6 memory. NVIDIA L40S - GPU computing processor - NVIDIA L40S - 48 GB GDDR6 - PCIe 4. L40S, on the other hand, has an age advantage of 5 years, a 200% higher maximum VRAM amount, and a 140% more advanced lithography process. Also, its lower memory bandwidth of 864 GB/s (versus the H100's 3. 8 x NVIDIA L40S. We are excited to introduce the latest expansion to our GPU cluster: the L40S partition. We compared a Desktop platform GPU: 48GB VRAM A40 PCIe and a Professional market GPU: 48GB VRAM L40S to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc. Being a dual-slot card, the NVIDIA L40 draws power from 1x 16-pin power connector, with power draw rated at 300 W OCI will offer the L40S GPUs in its BM. vs . 70 → $2/hour; TL;DR we lowered prices for our L4, L40S and A100 Serverless GPUs, making high-performance serverless GPUs more affordable, especially combined with scale-to-zero! Oh, and with our new website we're defaulting to displaying prices by the hour. 0 GB/s: Connectivity and outputs. Accelerate - From $1. The L40S is now available for Latitude. Memory bus width - 384 bit. 5x 1. We couldn't decide between L40 and L40S. The L40S is our recommended choice as it beats the L4 in performance tests. 04/hr. This larger memory capacity is crucial for handling larger datasets and more complex models, which is essential for advanced AI research and professional-grade simulations. The . 70: 45. Benchmark videocards performance analysis: Geekbench - OpenCL. GPU Memory: 48GB GDDR6 with The . NVIDIA L40S Unparalleled AI and Graphics Performance for the Data Center. Accelerate AI training and Transformer Engine dramatically accelerates AI performance and improves memory utilization In terms of FP32 and FP16 Tensor Core performance, the L40S outperforms the A100 40GB and can hold its own against the H100. 45 petaflops of tensor processing power. Orderable today—the BM. 2x Fine-tuning LoRA (GPT-40B): global train batch size: 128 (sequences), seq-length: 256 (tokens). 0 GB/s: 864. There are a few points worth looking at here: The L40S is a massively improved card for AI training and inferencing versus the L40, but one can easily see the common heritage. Memory type: GDDR6: GDDR6: Maximum RAM amount: 24 GB: 48 GB: Memory bus width: 192 Bit: 384 Bit: Memory clock speed Superlative Next-Generation Graphics: The NVIDIA L40S GPU features 142 third-generation RT Cores and 48GB of GDDR6 memory, delivering outstanding graphics performance. 63: M1 7‑Core GPU 8GB: 9. Two systems with 4x L40S GPUs. 72: 42. This partition consists of 20 high-performance nodes, each equipped with 4 Nvidia L40S GPUs boasting 48GB of memory onboard each. L40S has 48 GB of GDDR6 memory, with a 2,250 MHz memory clock and a 384 bit interface. 0 x16: Header / Brand: NVIDIA: Packaged Quantity: 1: Video Memory / Technology: GDDR6 SDRAM: Video Output / Graphics Processor L40S 48GB * 4: 105. 20: 9. The H100 series goes a step further with HBM3 memory, offering the highest memory bandwidth among the three. NVIDIA started L40S sales 13 October 2022. Compare graphics cards; Graphics card ranking Integrated GPUs have no dedicated video RAM and use a shared part of system RAM. The NVIDIA L40S Datasheet provides an overview of product specifications and more. Benchmark videocards performance analysis: Geekbench - OpenCL , GFXBench 4. Join us as we deep dive into our decision to leverage NVIDIA Comparative analysis of NVIDIA L40S and NVIDIA Tesla V100 PCIe 16 GB videocards for all known characteristics in the following categories: Essentials, Technical info, Video outputs and ports, Compatibility, dimensions and requirements, API support, Memory. For complex AI workloads with billions of parameters We compared two Professional market GPUs: 48GB VRAM L40S and 24GB VRAM L4 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc. . 1 GB/s: 864. Sign In; Get Support; Track Order GPU Memory Size: 48GB GDDR6 with ECC Form Factor: 4. Thus, the total system memory should be at least 480 GB, and 640 GB is preferred. 1. 7x Generative AI 1. Graphics cards . The NVIDIA L40S GPU, based on the Ada Lovelace architecture, is the most powerful universal GPU for the data center, delivering breakthrough multi-workload acceleration for large language model (LLM) inference and training, graphics, and video applications. 4. Technical City. RT function is present but not used, AI work loads are much more reliant on tensor cores. Combining powerful AI compute with best-in-class graphics and media acceleration, the L40S GPU is built to power the next generation of data center workloads—from generative AI a. The system memory should be evenly distributed across all CPU sockets and memory channels for optimal performance. Although the RTX 4090 has a higher memory bandwidth at 1008 GB/s, the L40S’s 864 GB/s is still substantial for most professional workloads, particularly where higher memory capacity is more beneficial than bandwidth. 5. While we had the chance to share some of our initial thoughts into scaling long context models, we’ve yet to explore the hardware that made it possible. The larger the bus width, the greater Comparing L4 with L40S: technical specs, games and benchmarks. This is an Ada Lovelace architecture desktop card based on 5 nm manufacturing process and primarily aimed at designers. We've got no test results to judge. This new chip from NVIDIA is powered by the Ada Lovelace Architecture, designed with 4th Generation Tensor Cores, 3rd Generation Ray-Tracing Cores, and CUDA cores, bringing 91. Nvidia emphasizes its capabilities for enterprise-scale training and inference tasks. NVIDIA L40S vs NVIDIA L40. L40S: Equipped with RT Cores and ample GDDR6 memory, the L40S excels in graphics rendering and media processing, making it ideal for applications like 3D modeling and video rendering. The A16 provides additional flexibility with its 4 GPUs per board, each equipped with 16 GB of memory Amazon Elastic Compute Cloud (Amazon EC2) accelerated computing portfolio offers the broadest choice of accelerators to power your artificial intelligence (AI), machine learning (ML), graphics, and high performance computing (HPC) workloads. Dual AMD 9354, 64 Cores @ 3. The L40S features higher onboard memory (48 GB) than several NVIDIA GPUs such as V100, V100S, and L4, making it capable of handling comparatively larger models. You will find out which GPU has better performance, benchmark tests, specifications, The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. Unique to GPU instances from OCI over other hyperscalers, bare metal removes the overhead of hypervisors and allows end users to get the most value from each instance’s performance. Allocate memory to multiple users with vGPU software to distribute large workloads among creative, data science, and design teams. 0 GB/s. As I understand this is the 4090 die with a different board, lower clocks and different memory config and cooling. 5x 0x Image Per Second 1. 25 GHz. Harnessing the power of the Ada The L40S GPU is optimized for 24/7 enterprise data center operations and designed, built, tested, and supported by NVIDIA to ensure maximum performance, durability, High-End NVIDIA PCIe AI GPUs 2023 A100 L40 L40S H100. However, what it lacks in size it makes up for in performance. Leveraging the power of Ada Lovelace fourth-generation Tensor Sotyra's GPU as a Service, featuring the NVIDIA L40S GPU and powered by IonStream, delivers the high-performance computing needed to drive transformative AI applications across industries. Performance based on prerelease build, subject to Summary. It’s a high-end GPU designed for AI and machine learning workloads, featuring more CUDA cores, additional memory, and higher NVIDIA Graphics Processing Unit L40S, Based on the Ada Lovelace Architecture, On-board: 48GB GDDR6 ECC Memory, PCIe Gen4 x16, Thermal Solution: Passive, 4x DisplayPort 1. 45: 19. L40S. 4" (H) x 10. This gives it a memory bandwidth of 864 Gb/s, which affects how fast it . Can I use MIG to get the most out of my GPU? NVIDIA Multi-Instance GPU (MIG) is a technology introduced by NVIDIA to enhance the utilization For building and training ML models from scratch, the H100 is the preferred GPU. Enhanced GPU Memory: The L40S GPU L40S, on the other hand, has a 63. The L40S has far less memory capacity than the A100, which is a notable downside to this series. A point in favor of the L40S: The L40S has far less memory capacity than the A100, which is a notable downside to this series. AD102. GRAPHICS PROCESSOR. This datasheet details the performance and product specifications of the NVIDIA L40S GPU. With GPU Memory 48GB GDDR6 with ECC Memory Bandwidth 864GB/s Interconnect Interface PCIe Gen4x16: 64GB/s bi-directional NVIDIA Ada Lovelace architecture-based CUDA Cores 18,176 NVIDIA third-generation RT Cores 142 NVIDIA fourth-generation Tensor Cores 568 RT Core performance TFLOPS 209 FP32 TFLOPS 90. 2X the performance of the NVIDIA HGX™ A100. 55/hour; A100: $2. 48 GB of GDDR6 memory clocked at 2. Want to know more? For more information on OCI’s capabilities, please visit us at GPU compute and AI infrastructure. Memory clock speed - 2250 MHz, 18 Gbps effective. Memory type: GDDR6. Powered by the Ada Lovelace architecture and cutting-edge features, the L40S brings next-level performance and exceptional processing power to handle intensive tasks, such as AI inference and training, rendering, 3D graphics and The . We With 48GB 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. 5" (L), The NVIDIA L40S GPU is a powerful multi-workload acceleration technology that provides versatile performance to accelerate a broad range of AI and graphics use cases. With 48 GB of vRAM, this new GPU is a great option for The Nvidia L40S is designed for high-performance AI and HPC workloads, offering improved scalability and energy efficiency. 0 - Car We compared two GPUs: L40S and L20 in specifications and benchmarks. 68: 7. 30: 51. 60: 6. Inference and Training. 5 | 181** BFLOAT16 Tensor Core TFLOPS 181. 0 GB/s: Shared memory-- Given the minimal performance differences, no clear winner can be declared between GeForce RTX 4060 and L40S. With breakthrough performance and 48 gigabytes (GB) of Transformer Engine dramatically accelerates AI performance and improves memory utilization for both training and inference. 5 | 181** Introducing NVIDIA L40S Unparalleled AI and Graphics Performance for the Data Center. Equipping a system with four We are excited to introduce a new GPU option to our products, NVIDIA's L40S. 90: 26. NVIDIA L40S. NVIDIA HGX™ A100 8 GPU vs. 2 x Orderable today—the BM. This gives it a memory bandwidth of 864 Gb/s, which affects how fast it NVIDIA has paired 48 GB GDDR6 memory with the L40, which are connected using a 384-bit memory interface. Energy Efficiency: The L40S operates at a lower TDP of 300W, compared to the 425W of the RTX 4090. With breakthrough performance and 48 gigabytes (GB) of memory capacity, the L40S is the ideal platform for accelerating multimodal generative AI workloads. Comparative analysis of NVIDIA L40S and NVIDIA L40 videocards for all known characteristics in the following categories: Essentials, Technical info, Video outputs and ports, Compatibility, dimensions and requirements, API support, Memory. They Transformer Engine dramatically accelerates AI performance and improves memory utilization for both training and inference. 99: 5. Whether it is AI computations, deep learning algorithms, or Memory Size: 48 GB, Memory Type: GDDR6, Bus Width: 384 bit. 18176 While NVIDIA recommends the L40S for RTX vWS deployments, the A16 is suitable for lightweight entry level virtual workstation use cases. L40 and L40S are intended to be installed in data centers (without displays attached), dozens or hundreds (or thousands) at a time. Transformer Engine dramatically accelerates AI performance and improves memory utilization for both training and inference. The NVIDIA L40S GPU is the most powerful universal GPU for the data center, delivering end As part of the NVIDIA OVX™ server platform, L40S delivers the highest level of graphics, ray Unparalleled AI and Graphics Performance for the Data Center. sh Accelerate and Latitude. This lower power consumption makes the NVIDIA OVX systems will enable up to eight NVIDIA L40S GPUs per server, each equipped with 48GB of memory. The NVIDIA L40S Datasheet provides an overview of product specifications and more. 38: A100 SXM 80GB * 4: 97. The GPU is operating at a frequency of 735 MHz, which can be boosted up to 2490 MHz, memory is running at 2250 MHz (18 Gbps effective). 1** FP16 Tensor Core 181. For companies or research institutions looking to handle complex data sets, the L40S provides the speed, memory, and computational capacity required to train advanced models. Compared to the NVIDIA H100, which offers the same FP64 performance but less memory and bandwidth, the L40S is optimized for tasks requiring greater computational power. Harnessing the power of the Ada The L40S GPU is optimized for 24/7 enterprise data center operations and designed, built, tested, and supported by NVIDIA to ensure maximum performance, durability, NVIDIA A100 NVIDIA A100NVIDIA L40S GPT-40B LoRA (Relative Performance) 1. 48: 14. Additionally, the L40S is tailored for enhanced visualisation with robust video encoding and decoding The NVIDIA L40S Product Brief provides an overview product specifications, features, and support information. We compared two Professional market GPUs: 48GB VRAM L40S and 24GB VRAM L4 to see which GPU has better performance in key specifications, benchmark tests, power Memory type: HBM2: GDDR6: Maximum RAM amount: 16 GB: 48 GB: Memory bus width: 4096 Bit: 384 Bit: Memory clock speed: 1758 MHz: 2250 MHz: Memory bandwidth: 900. The videocard is based on Ada Lovelace microarchitecture codenamed AD102. 4a, Dual Slot Space Required - (900-2G133-0080-000) Memory Capacity and Bandwidth: The L40S is equipped with 48 GB of GDDR6 VRAM, double the 24 GB available in the RTX 4090. 5 TF32 Tensor Core TFLOPS 90. hikmvmasbfmvvfxgpltbxfwftxddserbrqyhxdchitvsbgyzcrddfxxy