The Seeker quantum processor from Quantum Circuits now supports Nvidia's CUDA-Q, enabling developers to combine quantum ...
After crossing the trillion-dollar mark, can NVIDIA still continue its growth streak? The post Is NVIDIA Still a Buy After ...
Nvidia Corporation's high profit margins face pressure as competitors and major AI firms pursue chip alternatives. Click for ...
AMD is gaining ground in AI GPUs with strong pricing and industry support, challenging NVDA's dominance and opening new growth avenues. Read why AMD stock is a buy.
If you haven’t heard, Nvidia is investing $5 billion in Intel. According to Nvidia CEO Jensen Huang, this exciting Nvidia-Intel alliance will create “Intel x86 SoCs that integrate Nvidia GPU chiplets, ...
If you're piecing together or giving a facelift to your gaming PC, the first shiny bit most people think about is the graphics card. It's no mystery why. Out of all the parts stuffed in a rig, the GPU ...
Abstract: Due to new enhancements in the field of computer architecture and the proliferation of heterogeneous computing devices, there is an increasing demand for portable and efficient programming ...
Importantly, while several companies are developing custom AI chips with assistance from Broadcom and Marvell, Nvidia GPUs are likely to remain the dominant AI accelerator due to its CUDA programming ...
Demand for AI chips is booming—and so is the need for software to run them. Chris Lattner’s startup Modular just raised $250 ...
AMD launched the latest version of its ROCm AI software stack last week, putting it in a better position to compete with Nvidia for AI hardware customers. Although the performance of AI chips is a key ...
Quantum computing has attracted growth investors due to its disruptive potential within the broader AI narrative. Nvidia dominates the AI landscape, and its GPUs and CUDA software are well-positioned ...
Deep-learning throughput hinges on how effectively a compiler stack maps tensor programs to GPU execution: thread/block schedules, memory movement, and instruction selection (e.g., Tensor Core MMA ...