NVIDIA | Generated by AI
NVIDIA is currently working on several major technology areas:
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CUDA: Still a cornerstone of NVIDIA’s ecosystem, providing the programming model for GPU computing across scientific computing, AI, and data analytics.
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Omniverse: Their platform for 3D workflows and virtual world simulations, enabling collaboration across different 3D applications.
- AI and Deep Learning:
- Continued development of hardware (like their H100 and A100 GPUs)
- Software frameworks like NVIDIA AI Enterprise
- Domain-specific AI solutions for industries like healthcare, automotive, and manufacturing
- Gaming and Graphics:
- RTX technology and ray tracing capabilities
- DLSS (Deep Learning Super Sampling)
- GeForce NOW cloud gaming service
- Automotive and Autonomous Systems:
- DRIVE platform for autonomous vehicles
- Metropolis platform for smart cities and infrastructure
- High-Performance Computing:
- HGX platform for data centers
- Solutions for scientific research and simulation
- Networking:
- Mellanox networking technologies
- DPUs (Data Processing Units)
- Edge AI and Embedded Systems:
- Jetson platform for robotics and edge applications
Note that my knowledge cutoff is from October 2024, so there may be newer initiatives or product developments since then that I’m not aware of.