Significant price hikes on 5090, L40S and Enerperise Blackwell Series GPUs continues into Q1 2026. Please note Credit Card payments will only work if USD or AED currency is selected on top right corner of the website. For US customers; before placing an order for any crypto miners, inquire with a live chat sales rep or toll-free phone agent about any potential tariffs. HGX B200 lead times are now between 8-20 weeks for Golden Sku selections, with custom BOMs exceed 26 weeks. HGX H200 offerings in stock, as well as limited HGX B300. We are now certified partners of Supermicro in both NA and MENA regions.
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✓ GPU Memory: 24GB
✓ ECC: On by Default
✓ Memory Interface: 192-bit
✓ Memory Clock: 6251 MHz
✓ GPU Memory Bandwidth: 300 GB/s
✓ Display Connectors: None | vGPU Only
✓ NVENC | NVDEC: 2 | 4 | 4 | JPEG Decoders | AV1 Encode and Decode
✓ Thermal Solution: Passive
✓ Ambient Operating Temperature: 0 to 50 Degrees Centigrade
✓ Operating Humidity: 5% to 85% Relative Humidity
✓ Maximum Power Consumption: 72 W | 40 W Minimum
✓ System Interface: PCIe Gen4 x16 | 64GB/s
✓ Form Factor: 6.61″ L x 2.71″ H | Single Slot | Low-Profile
✓ Server Options: Partner and NVIDIA-Certified Systems with 1-8 GPUs
✓ Hardware Root of Trust: Yes
✓ NEBS Ready: Yes, Level 3
✓ Warranty: 1 years manufacturer repair or replacement
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With NVIDIA’s AI platform and full-stack approach, L4 is optimized for video and inference at scale for a broad range of AI applications, including recommendations, voice-based AI avatar assistants, generative AI, visual search, and contact center automation to deliver the best personalized experiences. As the most efficient NVIDIA accelerator for mainstream, servers equipped with L4 enable up to 120X higher AI Video performance over CPU solutions, while providing 2.7X more generative AI performance, and over 4X more graphics performance versus the previous generation. NVIDIA L4’s versatility and energy-efficient, single-slot, low-profile form factor make it ideal for global deployments, including edge locations.

| Architecture | NVIDIA Ada Lovelace |
| Use Case | Universal Deep Learning and Video AI Accelerator |
| GPU Clocks | 795 MHz Base | 2040 MHz Boost |
| FP32 | 30.3 TFLOPS |
| TF32 Tensor Core | 120 TFLOPS | Sparsity |
| FP16 Tensor Core | 242 TFLOPS | Sparsity |
| BFLOAT16 Tensor Core | 242 TFLOPS | Sparsity |
| FP8Tensor Core | 485 TFLOPS | Sparsity |
| INT8 Tensor Core | 485 TOPS | Sparsity |
| GPU Memory | 24GB |
| ECC | On by Default |
| Memory Interface | 192-bit |
| Memory Clock | 6251 MHz |
| GPU Memory Bandwidth | 300 GB/s |
| Display Connectors | None | vGPU Only |
| NVENC | NVDEC | 2 | 4 | 4| JPEG Decoders | AV1 Encode and Decode |
| Thermal Solution | Passive |
| Ambient Operating Temperature | 0 to 50 Degrees Centigrade |
| Operating Humidity | 5% to 85% Relative Humidity |
| Maximum Power Consumption | 72 W | 40 W Minimum |
| System Interface | PCIe Gen4 x16 | 64GB/s |
| Form Factor | 6.61” L x 2.71” H | Single Slot | Low-Profile |
| Server Options | Partner and NVIDIA-Certified Systems with 1-8 GPUs |
| Hardware Root of Trust | Yes |
| NEBS Ready | Yes | Level 3 |
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