699-2G133-0250-L00 Nvidia L40 Accelerator 48GB GDDR6 PCIE 4.0 Gpu
Brief Overview of 699-2G133-0250-L00
Nvidia 699-2G133-0250-L00 L40 Accelerator 48GB Cuda Cores GDDR6 PCIE 4.0 4 Displayports General Purpose Graphics Processing Unit Gpgpu - Ada Lovelace Gpu. New Sealed in Box (NIB) with 3 years Warranty. Eta 2-3 Weeks. No Cancel No Return
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Overview of NVIDIA 699-2G133-0250-L00 L40 Gpu
The NVIDIA 699-2G133-0250-L00 L40 GPU Accelerator delivers exceptional performance for next-generation visual computing and AI workloads. Built on the advanced Ada Lovelace architecture, this powerful graphics card features 48GB GDDR6 ECC memory and an impressive 18,176 CUDA cores for high-performance parallel processing. Its PCI-E 4.0 x16 interface ensures optimized bandwidth, while four DisplayPort (DP) outputs provide outstanding visual output capabilities for professional graphics and GPGPU environments.
Key Specifications
- 48GB GDDR6 memory for data-intensive tasks
- 18176 CUDA cores powered by Ada Lovelace architecture
- Support for PCIe 4.0 interface for high data bandwidth
- Four DisplayPort outputs for advanced visualization
- General Purpose Graphics Processing Unit (GPGPU) design
- High efficiency for AI inference, rendering, and simulation
General Information
- Product Type: Graphics Card
- Manufacturer Part Number: 699-2G133-0250-L00
- Manufacturer: NVIDIA Corporation
- Product Name: NVIDIA L40 GPU Accelerator
- Brand: NVIDIA
Architecture and Core Technology
The NVIDIA L40 leverages the cutting-edge Ada Lovelace GPU architecture, designed for energy efficiency and scalable performance. It integrates state-of-the-art tensor and ray-tracing cores, optimized for AI inference, rendering, and scientific workloads.
- Architecture: NVIDIA Ada Lovelace
- Process Technology: 4nm NVIDIA Custom Process (TSMC)
- Transistor Count: 76.3 Billion
- Die Size: 608.44 mm²
Processing Power and Core Configuration
- CUDA Cores: 18,176
- Tensor Cores: 568 (4th Generation)
- RT Cores: 142 (3rd Generation)
Memory and Bandwidth
With 48GB of GDDR6 ECC memory and a 384-bit memory interface, the NVIDIA L40 ensures lightning-fast data throughput and superior multitasking for high-end rendering and AI workloads.
- Memory Capacity: 48GB GDDR6 ECC
- Memory Interface: 384-bit
- Memory Bandwidth: 864 GB/s
Display and Resolution Capabilities
- Display Connectors: 4 × DisplayPort 1.4a
- Maximum Digital Resolution:
- 4 × 5K @ 60Hz
- 2 × 8K @ 60Hz
- 4 × 4K @ 120Hz
- Color Depth: 30-bit
Form Factor and Cooling
The L40 is engineered for professional workstations with a dual-slot form factor and a passive cooling solution ideal for data center environments.
- Dimensions: 4.4 in (H) × 10.5 in (L)
- Form Factor: Dual Slot
- Thermal Solution: Passive Cooling
Power Requirements
- Maximum Power Draw: 300W
- Power Connector: 1 × PCIe CEM5 16-pin
- NEBS Ready: Level 3
Software and Virtualization Support
Virtual GPU (vGPU) Compatibility
This graphics card is compatible with NVIDIA vGPU software solutions, making it an excellent choice for virtualization and multi-user GPU-sharing workloads.
- Supported Software: NVIDIA vApps, vPC, vWS
- Available Profiles: 1GB, 2GB, 3GB, 4GB, 6GB, 8GB, 12GB, 16GB, 24GB, 48GB
- vGPU Availability: Early 2023
Supported APIs
- DirectX: 12 Ultimate
- Shader Model: 6.6
- OpenGL: 4.6
- Vulkan: 1.3
- Compute APIs: CUDA 12.0, DirectCompute, OpenCL 3.0
Encoding and Decoding Capabilities
- NVENC/NVDEC: 3 × Encode | 3 × Decode
- Supported Codecs: Includes AV1 Encode and Decode
Enhanced Display and Synchronization Features
- NVIDIA 3D Vision & 3D Vision Pro: Supported via optional 3-pin Mini-DIN bracket
- Frame Lock: Compatible with NVIDIA Quadro Sync II
- Secure Boot with Root of Trust: Supported
Performance Highlights
- Exceptional AI inferencing performance
- High-end ray tracing and graphics rendering
- Optimized for data center and workstation workloads
- Superior multi-display output support
- Energy-efficient and scalable design
Product Overview
The NVIDIA 699-2G133-0250-L00 L40 Accelerator represents a new standard in professional graphics computing, providing extraordinary processing power for advanced workloads across AI, rendering, and visualization tasks. Built on the highly efficient Ada Lovelace architecture, this GPU brings enhanced parallel computing performance and superior memory bandwidth designed for demanding enterprise and data center environments. With 48GB of GDDR6 memory, 18176 CUDA cores, and PCIe 4.0 connectivity, it delivers exceptional throughput, scalability, and flexibility for a wide range of professional applications.
Architecture and Design Excellence
The Ada Lovelace architecture empowers the NVIDIA L40 to reach unprecedented computational heights. Its multi-threaded streaming multiprocessors (SMs) ensure better workload balancing, while enhanced tensor and RT cores deliver faster AI training, inferencing, and photorealistic rendering capabilities. With architectural optimizations, the L40 accelerator achieves a higher performance-per-watt ratio, minimizing energy consumption in large-scale deployments.
Advanced CUDA Core Design
The 18176 CUDA cores enable seamless parallel execution, supporting complex operations such as matrix multiplications and floating-point computations vital to machine learning, deep learning, and scientific simulations. This core design allows for faster execution of algorithms and real-time responsiveness even in compute-heavy environments.
Next-Generation Tensor and RT Cores
Equipped with upgraded Tensor Cores and Ray Tracing (RT) Cores, the L40 accelerator brings hardware-accelerated AI processing and cinematic rendering to a wide range of professional workflows. Tensor Cores accelerate deep learning frameworks such as TensorFlow, PyTorch, and Caffe, while RT Cores provide real-time photorealistic rendering used in digital twins, design visualization, and cinematic effects.
High-Speed Memory Configuration
The 48GB of GDDR6 memory ensures smooth handling of large datasets, 3D models, and neural networks. This extensive memory capacity allows for simultaneous data streaming and processing without bottlenecks. It is optimized for workloads that require massive memory throughput, such as scientific visualization, AI inference, and high-resolution rendering tasks.
Bandwidth and Latency Optimization
Operating at a high memory bandwidth, the GDDR6 modules ensure that data can be accessed and written with minimal latency. The integration of ECC (Error Correction Code) ensures data integrity and stability during mission-critical computing processes.
Connectivity and Expansion Options
The inclusion of PCIe 4.0 support enhances data transfer rates between the GPU and CPU. This next-generation interface doubles the bandwidth compared to PCIe 3.0, allowing for faster communication in multi-GPU systems and servers. Furthermore, the L40’s 4 DisplayPort connectors support ultra-high-definition visual output across multiple displays, making it suitable for immersive visualization, simulation, and professional content creation setups.
Display and Visualization Capabilities
With multiple DisplayPorts, the GPU supports 4K, 8K, and even higher resolutions with exceptional clarity and refresh rates. This enables professionals in industries like film production, engineering, and architecture to visualize complex scenes and models with lifelike precision.
General Purpose GPU (GPGPU) Capabilities
The NVIDIA L40 Accelerator’s GPGPU design allows it to handle a diverse range of computational tasks beyond traditional graphics rendering. It supports parallel computing frameworks such as CUDA, OpenCL, and Vulkan Compute, offering unmatched flexibility for developers and researchers.
Deep Learning Framework Compatibility
The NVIDIA L40 is optimized for leading deep learning frameworks, ensuring seamless performance across TensorFlow, PyTorch, MXNet, and ONNX Runtime. Developers can easily deploy models and take advantage of hardware acceleration to achieve higher throughput and reduced power consumption.
Rendering and Visualization Power
Designed for creative professionals, the NVIDIA L40 Accelerator excels in ray tracing and 3D rendering applications. It brings real-time rendering capabilities to design, media, and entertainment industries, enabling faster workflows and visually accurate outputs. Its advanced shading and lighting computations produce natural shadows, reflections, and textures with high precision.
Power Efficiency and Cooling Innovation
The NVIDIA 699-2G133-0250-L00 GPU is engineered with a dual-slot form factor and an optimized thermal design that ensures stable operation even under heavy computational loads. The balance between power draw and performance allows for consistent throughput across extended runtimes without throttling.
Thermal Management Design
The advanced cooling mechanism includes high-efficiency heatsinks and heat pipes that manage thermal distribution effectively. This enables consistent clock speeds and extends the GPU’s operational lifespan. It also ensures minimal acoustic noise, which is ideal for data centers and workstations that require quiet operations.
Energy Efficiency
Using the Ada Lovelace architecture’s refined power control, the L40 delivers high compute density with reduced wattage. It strikes a perfect balance between energy efficiency and raw processing power, making it an ideal choice for large-scale installations and AI clusters.
Enterprise and Data Center Optimization
Purpose-built for enterprise and data center environments, the NVIDIA L40 GPU supports high-performance virtualization, multi-instance GPU (MIG) capabilities, and scalability for demanding cloud workloads. It enables multiple users to share GPU resources efficiently without compromising speed or performance.
Virtualization and Cloud Readiness
The GPU supports NVIDIA vGPU technology, allowing it to power multiple virtual machines with dedicated GPU resources. This makes it suitable for data centers, cloud gaming, and remote workstation setups. IT administrators can easily allocate GPU instances based on workload demand.
Software Ecosystem and Developer Tools
The NVIDIA L40 integrates seamlessly into the broader NVIDIA software stack, including NVIDIA CUDA Toolkit, TensorRT, and AI Enterprise Suite. These tools provide developers and researchers with powerful resources to optimize GPU-accelerated applications.
Development Framework Support
CUDA for general-purpose GPU computing
OpenCL for cross-platform computational acceleration
Vulkan for next-gen graphics and compute workloads
DirectX and OpenGL for professional visualization
Driver and Software Optimization
With enterprise-grade driver support, the L40 ensures stability, security, and performance consistency. Frequent updates from NVIDIA enhance compatibility with the latest software and operating systems, ensuring continuous improvement in computational performance.
Performance Metrics and Scalability
Benchmark tests demonstrate that the NVIDIA 699-2G133-0250-L00 L40 GPU delivers exceptional performance across a wide range of tasks. Whether in AI, data analytics, or rendering workflows, it outpaces its predecessors and maintains superior reliability under load.
Reliability and Security Features
The L40 accelerator is designed with enterprise-grade security and reliability in mind. With ECC memory, secure boot, and firmware integrity checks, it ensures data safety and consistent operation under mission-critical workloads.
Durability and Longevity
Every component of the NVIDIA L40 undergoes rigorous testing to ensure durability in continuous high-load conditions. Its robust construction and efficient cooling contribute to a longer operational lifespan, reducing maintenance costs over time.
Security and Data Protection
With secure firmware updates and hardware-level protection, this GPU prevents unauthorized access and ensures the confidentiality of sensitive computational data, making it ideal for government, research, and enterprise use cases.
Compatibility and Integration
The NVIDIA 699-2G133-0250-L00 L40 accelerator integrates effortlessly with major workstation and server platforms. It supports leading operating systems including Windows, Linux, and virtualization layers such as VMware and Red Hat Enterprise Virtualization.
