NVIDIA RTX 1000 & RTX 500 Ada Laptop GPUs Bring AI-Ready Performance To Everyone, Much Faster Than NPU & CPUs

NVIDIA RTX 1000 & RTX 500 Ada Laptop GPUs Bring AI-Ready Performance To Everyone, Much Faster Than NPU & CPUs 1

NVIDIA has added two entry-level Ada GPUs to its laptop lineup, the RTX 1000 & the RTX 500, which aim to bring AI-readiness to everyone.

NVIDIA's RTX 1000 & RTX 500 Ada GPUs are designed for entry-level laptops with a focus on AI performance. These chips are said to deliver up to 14X generative AI and 3x faster photo editing performance (AI) using Ada's hardware prowess. Furthermore, these entry-level chips also deliver up to a 10X improvement in graphics performance for tasks such as rendering & content creation versus a CPU-only solution.

While CPUs have gotten faster and now come infused with AI capabilities thanks to powerful NPU technologies, GPUs are still the way to go if you want higher performance and NVIDIA is expanding its portfolio to more users with these two new offerings. The NPU is still a great solution for light-weight and low-power AI tasks but if you want your work done faster, then NVIDIA's RTX 1000 and RTX 500 GPUs are a good step up from dGPU-less designs. Following are some of the main features of the lineup:

Third-generation RT Cores: Up to 2x the ray tracing performance of the previous generation for high-fidelity, photorealistic rendering.

Fourth-generation Tensor Cores: Up to 2x the throughput of the previous generation, accelerating deep learning training, inferencing, and AI-based creative workloads.

Ada Generation CUDA cores: Up to 30% of the single-precision floating point (FP32) throughput compared to the previous generation for significant performance improvements in graphics and compute workloads.

Dedicated GPU memory: 4GB GPU memory with the RTX 500 GPU and 6GB with the RTX 1000 GPU allows users to run demanding 3D and AI-based applications, as well as tackle larger projects, datasets and multi-app workflows.

DLSS 3: Delivers a breakthrough in AI-powered graphics, significantly boosting performance by generating additional high-quality frames.

AV1 encoder: Eighth-generation NVIDIA encoder, aka NVENC, with AV1 support is up to 40% more efficient than H.264, enabling new possibilities for broadcasting, streaming, and video calling.

In terms of specifications, both the NVIDIA RTX 1000 & RTX 500 GPUs feature different core configs with 2560 / 2048 CUDA cores, 20 / 16 RT cores (3rd Gen), and 80 / 64 Tensor Cores (4th Gen). The RTX 1000 Ada GPU features 6 GB of VRAM while the RTX 500 Ada GPU features 4 GB VRAM. The NVIDIA RTX 1000 Ada has a TDP range from 35-140W and features 192 GB/s of memory bandwidth while the RTX 500 Ada has a TDP range from 35-60W and features 128 GB/s of memory bandwidth.

As for performance, the NVIDIA RTX 1000 Ada offers 12.1 TFLOPs of FP32 & up to 193 TOPS (INT8) while the RTX 500 Ada offers 9.2 TFLOPs of FP32, & up to 154 TOPS (INT8) performance. For comparison, the AMD Ryzen 8040 "Hawk Point" APUs offer up to 16 TOPs of AI performance with their NPU while the upcoming Strix Point APUs with the XDNA 2 "Ryzen AI" engine will offer up to 50 TOPs of AI performance.

The NVIDIA RTX 1000 & RTX 500 Ada GPUs are already available in a range of laptops from Dell, Lenovo, MSI, and MSI. You can expect decent price points for these AI-infused yet entry-level GPU designs.