News from the AI & ML world
DeeperML
@blogs.nvidia.com
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NVIDIA is pushing the boundaries of artificial intelligence through advancements in its RTX AI platform and open-source AI models. The RTX AI platform now accelerates the performance of FLUX.1 Kontext, a groundbreaking image generation model developed by Black Forest Labs. This model allows users to guide and refine the image generation process with natural language, simplifying complex workflows that previously required multiple AI models. By optimizing FLUX.1 Kontext for NVIDIA RTX GPUs using the TensorRT software development kit, NVIDIA has enabled faster inference and reduced VRAM requirements for creators and developers.
The company is also expanding its open-source AI offerings, including the reasoning-focused Nemotron models and the Parakeet speech model. Nemotron, built on top of Llama, delivers groundbreaking reasoning accuracy, while the Parakeet model offers blazing-fast speech capabilities. These open-source tools provide enterprises with valuable resources for deploying multi-model AI strategies and leveraging the power of reasoning in real-world applications. According to Joey Conway, Senior Director of Product Management for AI Models at NVIDIA, reasoning is becoming the key differentiator in AI.
In addition to software advancements, NVIDIA is enhancing AI supercomputing capabilities through collaborations with partners like CoreWeave and Dell. CoreWeave has deployed the first Dell GB300 cluster, utilizing the Grace Blackwell Ultra Superchip. Each rack delivers 1.1 ExaFLOPS of AI inference performance and 0.36 ExaFLOPS of FP8 training performance, along with 20 TB of HBM3E and 40 TB of total RAM. This deployment marks a significant step forward in AI infrastructure, enabling unprecedented speed and scale for AI workloads.
ImgSrc: blogs.nvidia.co
References :
The company is also expanding its open-source AI offerings, including the reasoning-focused Nemotron models and the Parakeet speech model. Nemotron, built on top of Llama, delivers groundbreaking reasoning accuracy, while the Parakeet model offers blazing-fast speech capabilities. These open-source tools provide enterprises with valuable resources for deploying multi-model AI strategies and leveraging the power of reasoning in real-world applications. According to Joey Conway, Senior Director of Product Management for AI Models at NVIDIA, reasoning is becoming the key differentiator in AI.
In addition to software advancements, NVIDIA is enhancing AI supercomputing capabilities through collaborations with partners like CoreWeave and Dell. CoreWeave has deployed the first Dell GB300 cluster, utilizing the Grace Blackwell Ultra Superchip. Each rack delivers 1.1 ExaFLOPS of AI inference performance and 0.36 ExaFLOPS of FP8 training performance, along with 20 TB of HBM3E and 40 TB of total RAM. This deployment marks a significant step forward in AI infrastructure, enabling unprecedented speed and scale for AI workloads.
ImgSrc: blogs.nvidia.co
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References :
- NVIDIA Newsroom: Black Forest Labs, one of the world’s leading AI research labs, just changed the game for image generation.
- www.tomshardware.com: CoreWeave deploys first Dell GB300 cluster with Switch: Up to 1.1 ExaFLOPS of AI inference performance per rack.
Classification:
- HashTags: #NVIDIAAI #RTXAI #Supercomputing
- Company: NVIDIA
- Target: Developers, Enterprises
- Product: RTX AI
- Feature: AI Acceleration
- Type: AI
- Severity: Informative