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L2 16GB
NVIDIA
As a leading manufacturer and global supplier of advanced computing hardware, we present the L2 16GB Graphics Card, engineered for cost-efficient AI acceleration and scalable deployment. This entry-level powerhouse leverages the latest architecture to deliver exceptional inference capabilities for modern workstations and edge environments.
16GB Memory Capacity
Ada Lovelace Architecture
Optimized for Lightweight AI & Video Tasks
2-3x Performance Boost over Legacy Models
The L2 16GB Graphics Card redefines entry-level AI inference and edge deployment by striking an impeccable balance between computational sheer force and operational economy. Designed specifically for modern workstations and scalable data center environments, this GPU feels robust in its construction, featuring a sleek, low-profile form factor that slides seamlessly into dense server racks without obstructing critical airflow. When integrated into your infrastructure, it operates with a whisper-quiet thermal profile, ensuring that even under continuous, heavy multi-instance workloads, the acoustic footprint remains minimal. The physical craftsmanship speaks to its enterprise-grade pedigree, utilizing premium silicon and advanced PCB materials to guarantee uninterrupted 24/7 operation.
By upgrading to this unit, organizations can instantly alleviate the bottlenecks associated with lightweight AI model processing and complex video rendering tasks. It eliminates the stutter and latency often experienced with older generation hardware, providing a smooth, responsive computing environment. Instead of over-provisioning with excessively costly mid-to-high-end alternatives, IT architects can deploy this highly efficient engine to achieve reliable, high-throughput AI performance, transforming sluggish legacy systems into agile, future-ready powerhouses.
Product Model | NVIDIA L2 |
Memory Capacity | 16GB |
GPU Architecture | Ada Lovelace |
Product Positioning | Entry-level AI inference and edge deployment GPU |
Core Applications | Lightweight AI model inference, video processing tasks, multi-instance workloads |
Performance Comparison | Up to 2–3× higher AI inference performance vs previous generation entry GPU (NVIDIA T4) |
Energy Efficiency | Optimized for 24/7 continuous operation with excellent energy efficiency ratio |
Cost-Effectiveness | Better performance and scalability than A2 16GB; lower procurement and running cost than mid-to-high-end L4 14GB |
Supplier | Telefly (Professional NVIDIA GPU and data center hardware supplier) |
Supply Status | In-stock, fast global shipping, stable supply, reliable after-sales service |
Deploying the L2 16GB Graphics Card translates directly into measurable operational improvements for your computing infrastructure. This hardware is meticulously engineered to solve the most pressing challenges in edge computing and entry-level AI deployment, ensuring your projects remain on schedule and under budget.
Uncompromising Energy Efficiency: Engineered to draw minimal power while maximizing output, drastically reducing your facility's cooling requirements and electricity expenditures during continuous 24/7 operation.
Seamless Multi-Instance Handling: Capable of partitioning workloads effectively, allowing multiple lightweight AI tasks to run concurrently without resource contention or noticeable latency spikes.
Accelerated Media Processing: Transforms sluggish video decoding and encoding pipelines into fluid, high-throughput workflows, essential for real-time intelligent video analytics.
Future-Proof Scalability: Provides a robust foundation for growing AI demands, ensuring that as your models evolve, your hardware infrastructure scales harmoniously without requiring immediate forklift upgrades.
Thermal Optimization: Crafted with advanced heat dissipation materials that maintain optimal silicon temperatures, preventing thermal throttling and extending the overall lifespan of the hardware.
Compact Form Factor: The streamlined physical design ensures effortless integration into a wide variety of chassis designs, maximizing your spatial efficiency.
The transition to the Ada Lovelace architecture marks a monumental leap in computational capability. By fundamentally redesigning the core processing units, this GPU transcends the limitations of both the Ampere (A2) and Turing (T4) generations. It is a strictly future-proof investment that guarantees your infrastructure is prepared for the next wave of AI frameworks.
Next-Generation Tensor Cores: Delivers exponential acceleration for matrix operations, enabling faster and more accurate AI inference without inflating the power envelope.
Expanded Memory Bandwidth: The 16GB configuration is paired with ultra-fast memory pathways, eliminating data bottlenecks and ensuring large datasets are fed to the compute cores instantaneously.
Architectural Efficiency: Achieves a remarkable doubling of raw computational power while maintaining the same low-power footprint as its predecessors, maximizing your compute density.
Advanced Ray Tracing Capabilities: While optimized for AI, the underlying architecture also provides superior rendering capabilities for specialized visual computing tasks.
Quantitative performance is the bedrock of any hardware acquisition strategy. The L2 16GB Graphics Card has been rigorously tested against industry-standard benchmarks, proving its mettle in real-world, high-demand scenarios. It takes the abstract promise of a massive performance boost and translates it into undeniable, measurable throughput for your most critical applications.
LLM Inference Throughput: Demonstrates exceptional tokens-per-second generation when deploying mainstream lightweight large language models, ensuring real-time conversational AI responsiveness.
Video Transcoding Concurrency: Capable of handling significantly more simultaneous high-definition video streams compared to the legacy T4, making it the ultimate engine for intelligent video analytics platforms.
Latency Reduction: Drastically lowers the millisecond response time in edge deployment scenarios, critical for applications requiring immediate automated decision-making.
Comparative Superiority: Outpaces the A2 16GB in complex, multi-layered inference tasks, providing a much higher ceiling for performance-intensive applications.
Striking the perfect balance between capital expenditure and operational performance is crucial. The L2 16GB Graphics Card is strategically positioned to optimize your Total Cost of Ownership (TCO) while accelerating your Return on Investment (ROI). It occupies the sweet spot between underpowered legacy cards and excessively expensive high-end alternatives.
Optimized Procurement Costs: Offers a highly accessible entry price point compared to mid-to-high-end models like the L4 14GB, freeing up capital for other critical infrastructure investments.
Minimized Power Consumption: The low-wattage design directly translates to massive savings on data center electricity bills and reduces the need for expensive, aggressive cooling solutions.
Maximum Compute per Watt: Delivers industry-leading performance-per-watt metrics, ensuring that every dollar spent on power yields the maximum possible computational output.
High-Density Deployment Savings: Its compact footprint allows for maximum server density, reducing the physical rack space required and lowering colocation or facility real estate costs.
Understanding the exact operational boundaries of your hardware ensures maximum efficiency and prevents costly misallocations. This GPU is precision-engineered for specific, high-value tasks, providing unparalleled reliability when deployed in its optimal environments. It is the definitive engine for organizations focusing on agile, responsive AI deployment rather than heavy, monolithic model training.
Lightweight AI Inference: Perfectly calibrated for running pre-trained models, natural language processing, and automated customer interaction systems with zero lag.
Edge Computing Environments: Designed to thrive in remote or space-constrained locations where power and cooling are limited, bringing intelligent processing closer to the data source.
Intelligent Video Analytics: Excels at real-time object detection, facial recognition, and traffic monitoring tasks across multiple simultaneous camera feeds.
Multi-Instance Virtualization: Flawlessly partitions resources to support diverse, smaller-scale workloads simultaneously, maximizing hardware utilization across different departments or client needs.
In mission-critical environments, hardware failure is not an option. The L2 16GB Graphics Card is built to exacting enterprise standards, ensuring that your core services remain online and responsive around the clock. Its robust architecture guarantees seamless integration into your existing ecosystem while providing the flexibility to scale as your operational demands intensify.
7x24 Continuous Operation: Manufactured with top-tier capacitors and thermal interfaces to endure relentless, non-stop processing without degradation in performance.
Modern Framework Integration: Offers frictionless compatibility with the latest AI and machine learning frameworks, drastically reducing deployment time and software engineering overhead.
Elastic Scalability: Designed to work harmoniously in clustered configurations, allowing you to seamlessly add more units to your server racks as your inference workloads multiply.
Rigorous Quality Control: Each unit undergoes exhaustive stress testing to simulate the most demanding data center conditions, guaranteeing a near-zero out-of-box failure rate.
In an era defined by unpredictable hardware shortages, securing a reliable pipeline for critical components is a distinct competitive advantage. We eliminate the friction and uncertainty of global procurement by offering an ironclad supply chain and unwavering post-deployment support. Your operational continuity is our primary objective.
Massive In-Stock Inventory: We maintain substantial on-hand reserves of the L2 16GB, bypassing the crippling lead times that plague the current hardware market.
Expedited Global Delivery: Utilizing a highly optimized logistics network to ensure your hardware arrives safely and swiftly, regardless of your facility's geographic location.
Stable Long-Term Supply: We guarantee a consistent, predictable flow of hardware for your phased rollouts and future expansion projects, protecting you from sudden market dry-ups.
Expert Technical Backing: Our dedicated engineering support team is available to assist with integration challenges, driver optimization, and hardware troubleshooting, ensuring a smooth deployment lifecycle.
Selecting the right hardware partner is just as critical as selecting the hardware itself. Telefly stands as a beacon of reliability and expertise in the complex landscape of data center infrastructure. We do not merely ship components; we deliver comprehensive, end-to-end solutions that empower your operational success.
Deep Domain Expertise: As a professional supplier of NVIDIA GPUs and enterprise hardware, we possess the intricate technical knowledge required to guide you toward the most efficient architectural decisions.
Uncompromising Quality Assurance: Every product dispatched from our facilities is subjected to rigorous verification processes, ensuring you receive pristine, fully functional hardware every single time.
Transparent, Competitive Pricing: We leverage our extensive industry relationships to offer pricing structures that maximize your budget without sacrificing an ounce of quality or service.
Dedicated Account Management: You are assigned seasoned professionals who understand your specific infrastructure goals, providing tailored advice and priority support for all your procurement needs.
Proven Global Track Record: Trusted by leading data centers and technology integrators worldwide to deliver critical infrastructure components on time and precisely to specification.
To assist you in making a fully informed procurement decision, we have compiled detailed answers to the most complex technical and operational queries regarding this hardware.
The transition to the Ada Lovelace architecture equips the L2 with vastly superior Tensor Cores and optimized memory bandwidth. This results in up to a 2-3x increase in raw inference throughput and significantly better handling of concurrent video streams, all while maintaining a similarly low power draw.
No. This hardware is explicitly engineered for lightweight AI inference, edge deployment, and intelligent video analytics. For heavy, foundational model training, we strongly recommend exploring our high-end, data center-grade training GPUs.
Operating within a highly constrained power envelope, this card generates significantly less heat than mid-to-high-end alternatives. This allows for ultra-dense server packing without triggering thermal throttling, directly reducing the load on your facility's HVAC systems and lowering overall operational costs.
Absolutely. It is highly optimized for multi-instance workloads. The architecture allows hypervisors and containerized environments to partition the GPU's resources effectively, ensuring that various lightweight AI tasks can run concurrently without experiencing latency spikes or resource starvation.
Because we maintain a robust, in-stock inventory of these specific units, we bypass standard manufacturer delays. In most cases, we can initiate fast global shipping immediately upon order confirmation, ensuring your deployment schedule remains completely uninterrupted.
