Models & Labs
NVIDIA Unveils RTX Spark for AI-Driven Gaming
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Why it matters
- →RTX Spark enhances gaming performance with cutting-edge NVIDIA technologies.
- →It supports AI-driven game features, offering more immersive player experiences.
- →The launch in South Korea highlights its potential impact on the global gaming market.
NVIDIA has introduced the RTX Spark superchip, designed to enhance gaming and AI capabilities on Windows PCs. Unveiled at GTC Taipei, the chip promises high performance for gaming, supporting technologies like DLSS 4.5 for improved image quality. In South Korea, a key market for gaming, NVIDIA showcased the chip's potential with partners like KRAFTON and NC, highlighting its ability to run AAA games at high resolutions and frame rates. This development marks a significant step in integrating AI into gaming, offering more immersive experiences for players.
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UK Advances Sovereign AI with NVIDIA Technologies
The UK is making significant strides in its ambition to become a leader in AI, leveraging NVIDIA's technologies to build a robust AI infrastructure. This includes the deployment of Isambard-AI, the UK's most powerful computer, and the expansion of AI cloud providers. Startups like Cosine and Cursive are utilizing these resources to push the boundaries in fields such as coding and autonomous systems. NVIDIA's investment and collaboration with UK entities are fostering a thriving AI ecosystem, positioning the UK as a hub for AI innovation and development.
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llama.cpp b9561 Release Expands Platform Support
The b9561 release of llama.cpp continues to enhance its platform reach, adding Vulkan support for Ubuntu and Windows, and ROCm 7.2 for Ubuntu, which is a significant boost for AMD GPU users. While features like KleidiAI on macOS and SYCL on Windows remain inactive, this update reinforces llama.cpp's role as a flexible inference runtime across various systems. Although no new models are introduced, the release focuses on strengthening the existing infrastructure, making it more adaptable for developers working with different hardware setups. This ongoing expansion of capabilities ensures that llama.cpp remains a vital tool for AI inference across a broad spectrum of environments.
llama.cpp Releases
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llama.cpp b9562 adds video input support
The latest b9562 release of llama.cpp introduces video input support, marking a significant step in expanding its capabilities. This update includes a new mtmd_helper_video feature and allows video input on servers via base64 encoding. The CLI has been updated to support video arguments, enhancing user interaction. While the release doesn't introduce new models, it broadens the scope of llama.cpp by integrating video processing, making it more versatile for developers working with multimedia inputs.
