Generative AI and hybrid work environments are requiring increasingly powerful laptops; new NVIDIA GPUs will be available in highly portable mobile workstations from partners including Dell, HP, Lenovo and MIS this spring.
Today, NVIDIA has announced new NVIDIA RTX 500 and 1000 Ada Generation Laptop GPUs that will be available in new, highly portable mobile workstations. The expanded NVIDIA Ada Lovelace architecture-based lineup will include the RTX 2000, 3000, 3500, 4000, and 5000 Ada Generation Laptop GPUs.
Learn more in today’s NVIDIA blog, “NVIDIA RTX 500 and 1000 Professional Ada Generation Laptop GPUs Drive AI-Enhanced Workflows from Anywhere.”
With generative AI and hybrid work environments becoming the new standard, NVIDIA’s new Laptop GPUs address the increasing need for AI-accelerated laptops to help users tackle their industry’s toughest challenges from anywhere. AI is emerging at the forefront of professional design and content creation workflows and everyday productivity applications.
The next generation of mobile workstations with Ada Generation GPUs, including the RTX 500 and 1000 GPUs, include both a neural processing unit (NPU), a component of the CPU, and an NVIDIA RTX GPU, including Tensor Cores for AI processing. The NPU helps offload light AI tasks, while the GPU provides up to an additional 682 TOPS of AI performance for more demanding day-to-day AI workflows.
The higher level of AI acceleration delivers:
- High-quality AI effects, streaming videos with AI upscaling, and faster with generative AI and content creation applications.
- The new RTX 500 GPU delivers up to 14x the generative AI performance for models like Stable Diffusion, up to 3x faster photo editing with AI and up to 10x the graphics performance for 3D rendering compared with a CPU-only configuration.
- For users looking to tap AI for advanced rendering, data science, and deep learning workflows, NVIDIA also offers R+.
- The RTX 2000, 3000, 3500, 4000, and 5000 Ada Generation Laptop GPU allows users to tap AI for advanced rendering, data science, and deep learning workflows.
- 3D creators can use AI denoising and deep learning super sampling (DLSS) to visualize photorealistic renders in real-time.
- Businesses can query internal knowledge bases with chatbot-like interfaces using local large language models.
- Researchers and scientists can experiment with data science, AI model training and tuning, and development projects.
The RTX 500 and 1000 GPUs, based on the NVIDIA Ada Lovelace architecture, bring advancements to thin and light laptops, including:
- 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 new level in AI-powered graphics, 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.
The new NVIDIA RTX 500 and 1000 Ada Generation Laptop GPUs are coming Spring 2024 in mobile workstations from manufacturing partners, including Dell Technologies, HP, Lenovo, and MSI.
More information is available here.
Source: NVIDIA
Debbie Diamond Sarto is news editor at Animation World Network.
