NVIDIA L40S Dedicated Servers: The Apex of Inference & Visual Computing
The NVIDIA L40S is engineered as the industry's most powerful single-GPU inference processor, combining high-throughput AI inference with professional graphics capabilities. With 18,176 CUDA cores and 48GB of GDDR6 memory, the L40S delivers enterprise-grade performance at a competitive price point for inference-heavy workloads and generative AI.
The Specs & Performance Benchmarks
The L40S achieves 3-4x better inference throughput compared to consumer GPUs (RTX 4090) while maintaining professional-grade reliability.
CUDA Cores
18,176
Tensor Cores
568 (4th Gen)
Memory
48GB GDDR6
Bandwidth
960 GB/s
Ray Tracing
142 RT Cores
Bus
PCIe Gen 4
Best For: Generative AI & Digital Twins
Generative AI Inference
Excellent cost-performance ratio for running image generation models (Stable Diffusion, Midjourney) and text-to-video AI. Encode 16 simultaneous 4K video streams.
Omniverse & Digital Twins
The gold standard for industrial Metaverse applications and heavy 3D simulations. Full RT core support for high-fidelity graphics rendering.
Cloud Gaming & Streaming
High-density video encoding allows simultaneous streaming of 4K content to thousands of users. Features 3x NVDEC and ENC engines with AV1 support.
Fine-Tuning
Perfect for fine-tuning smaller LLMs (7B - 40B parameters) where H100s are overkill.
L40S vs. A100 Comparison
| Feature | NVIDIA L40S | NVIDIA A100 | The Verdict |
|---|---|---|---|
| Architecture | Ada Lovelace | Ampere | L40S is newer |
| VRAM | 48GB GDDR6 | 40/80GB HBM2 | A100 Wins Bandwidth |
| Ray Tracing | Hardware RT Cores | N/A | L40S is King |
| Generative AI | 1.2x Faster | Baseline | L40S Wins |
Server Configurations
The L40S excels in density. Its lower power profile allows us to pack more compute into a standard footprint.
Dual-GPU (2x L40S)
- Ideal for redundant rendering nodes
- High-availability inference APIs
- Serve 400+ concurrent Llama-2 requests
- Independent model serving per GPU
Quad-GPU (4x L40S)
- Visual computing farms
- Batch-processing AI video generation
- High density graphics workstation
- 192GB Total VRAM Pool
Efficiency Focused
- No liquid cooling required
- Lower deployment costs than H100
- Standard PCIe form factor
- 350W Max Power Consumption
Discover Your NVIDIA L40S GPU Solutions
Real-World Performance in 2026
LLM Inference
Serve 200+ concurrent Llama-2-13B requests per GPU with ultra-low latency.
Video Streams
Encode 16 simultaneous 4K video streams or process 256 1080p streams in parallel.
Images Per Minute
Generate 100+ Stable Diffusion XL images per minute per GPU.
Technical FAQ: NVIDIA L40S
Can I use L40S for training large models?
Yes, but it's suboptimal. The 48GB memory handles LoRA fine-tuning well, but full-parameter training of 70B models requires an 8-GPU cluster. For training from scratch, use H100 or A100.
Do I need NVLink for multiple L40S GPUs?
No. L40S uses PCIe 4.0 for inter-GPU communication. This is fine for inference (request parallelism) but insufficient for distributed training (tensor parallelism). For inference with 2+ L40S GPUs, run independent models on each GPU.
What's the maximum model size I can serve on L40S?
48GB with float16 precision. Recommended: 70B parameters with INT8 quantization. Using GGUF or GPT-Q quantization, even 130B models can run (slowly).
Is L40S good for video processing?
Excellent. The 320W power envelope and video encoding hardware (NVENC) make it ideal for transcoding and AI-enhanced video workflows.
How does L40S compare to L4 or A40?
L40S is 3–4x faster than its predecessors (L4, A40). The newer Ada architecture and larger memory make it the clear choice for 2026 deployments.