
Inference & rendering (2022-2024)
NVIDIA
Ada Lovelace
NVIDIA Ada Lovelace GPUs are optimized for AI inference, graphics, and video processing. Featuring GDDR6 memory and PCIe Gen4, they offer excellent price-performance for inference workloads and visual computing.
GPU Models in this Family
Click any card to expand detailed specifications

L40S
48 GB GDDR6864 GB/sPCIe Gen4

L40S
Datacenter GPU optimized for AI inference and graphics. Successor to A40 with 2× performance.

L40
48 GB GDDR6864 GB/sPCIe Gen4

L40
Datacenter GPU for visual computing and rendering. Lower AI performance than L40S.

L4
24 GB GDDR6300 GB/sPCIe Gen4 (single-slot)

L4
Low-power, single-slot GPU for AI inference and video processing. 72W TDP — no extra power connector needed.

L20
48 GB GDDR6864 GB/sPCIe Gen4

L20
China market variant of the L40. 48GB GDDR6 for AI inference and graphics. Meets US export controls while delivering high performance for data center workloads.

L2
24 GB GDDR6300 GB/sPCIe Gen4

L2
China market variant of the L4. 24GB GDDR6 in a low-profile 150W form factor for AI inference and video workloads in compliant regions.

RTX 6000 Ada
48 GB GDDR6960 GB/sPCIe Gen4

RTX 6000 Ada
Workstation GPU for professional AI, rendering, and graphics. 48GB GDDR6 with ECC support.

RTX 5000 Ada
32 GB GDDR6576 GB/sPCIe Gen4

RTX 5000 Ada
Mid-range Ada Lovelace workstation GPU. 32GB GDDR6 for professional rendering and AI workloads.

RTX 4500 Ada
24 GB GDDR6432 GB/sPCIe Gen4

RTX 4500 Ada
Mid-range Ada Lovelace workstation GPU. 24GB GDDR6 for professional rendering and AI workloads.

RTX 4000 Ada
20 GB GDDR6360 GB/sPCIe Gen4 (single-slot)

RTX 4000 Ada
Entry-level Ada Lovelace workstation GPU. 20GB GDDR6, single-slot design for compact workstations.

RTX 2000 Ada
16 GB GDDR6256 GB/sPCIe Gen4

RTX 2000 Ada
Entry-level Ada Lovelace workstation GPU. 16GB GDDR6 with low 70W TDP for single-slot deployments. Optimized for AI inference, CAD, and content creation workloads.
Quick Comparison
| GPU Model | VRAM | Bandwidth | FP16 | TDP | Starting Price |
|---|---|---|---|---|---|
| L40S | 48 GB GDDR6 | 864 GB/s | 733 TFLOPS (with sparsity) | 350W | — |
| L40 | 48 GB GDDR6 | 864 GB/s | 362 TFLOPS (with sparsity) | 300W | — |
| L4 | 24 GB GDDR6 | 300 GB/s | 242 TFLOPS (with sparsity) | 72W | — |
| L20 | 48 GB GDDR6 | 864 GB/s | 119 TFLOPS (with Tensor Cores) | 275W | — |
| L2 | 24 GB GDDR6 | 300 GB/s | 61 TFLOPS (with Tensor Cores) | 150W | — |
| RTX 6000 Ada | 48 GB GDDR6 | 960 GB/s | 1,466 TFLOPS (with sparsity) | 300W | — |
| RTX 5000 Ada | 32 GB GDDR6 | 576 GB/s | 733 TFLOPS (with sparsity) | 250W | — |
| RTX 4500 Ada | 24 GB GDDR6 | 432 GB/s | 550 TFLOPS (with sparsity) | 200W | — |
| RTX 4000 Ada | 20 GB GDDR6 | 360 GB/s | 366 TFLOPS (with sparsity) | 130W | — |
| RTX 2000 Ada | 16 GB GDDR6 | 256 GB/s | 12 TFLOPS | 70W | — |
Why Choose Ada Lovelace?
Proven Performance
Ada Lovelace GPUs power the world's largest AI training clusters. Battle-tested in production at scale for LLM training, fine-tuning, and inference.
Cloud-Native Ready
Available across multiple cloud providers with hourly billing. Compare real-time pricing and pick the cheapest option for your workload.
Ecosystem Support
Full compatibility with PyTorch, TensorFlow, JAX, vLLM, TensorRT, and all major ML frameworks. NVLink for multi-GPU scaling.