Nvidia Gpus
PulseAugur coverage of Nvidia Gpus — every cluster mentioning Nvidia Gpus across labs, papers, and developer communities, ranked by signal.
7 day(s) with sentiment data
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Supermicro to integrate SambaNova SN50 chips with Nvidia GPUs for AI inference systems
Supermicro is set to offer AI inference systems that integrate SambaNova SN50 chips with Nvidia GPUs. This collaboration aims to provide specialized hardware for AI workloads. The announcement was reported by The Next Web.
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Inception Labs' Mercury 3 diffusion LLM hits 1,000 tokens/sec
Inception Labs has released Mercury 3, a diffusion-based large language model that achieves significantly higher throughput than traditional autoregressive models. This new model can generate approximately 1,068 tokens …
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NVIDIA powers European retailers with open AI models for cost savings and efficiency
NVIDIA is enabling European retailers to leverage open AI models and physical intelligence for various applications. Companies like Shopify are fine-tuning open models to achieve high accuracy and significantly reduce i…
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Inception Labs launches Mercury 3 diffusion model, claiming 1,068 tokens/sec speed
Inception Labs has released Mercury 3, a diffusion language model that generates entire responses in parallel rather than token by token. This approach allows for a claimed speed of 1,068 tokens per second on NVIDIA GPU…
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NVIDIA AI platforms boost European industrial productivity and innovation
NVIDIA is enabling European industrial leaders to enhance productivity and innovation through its AI and simulation technologies. The company has released the NVIDIA Factory Operations Blueprint (FOX) for early access, …
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Inception Labs unveils Mercury 3 diffusion LLM for faster AI agents
Inception Labs has introduced Mercury 3, a new diffusion-based language model designed to address latency issues in AI agent workflows. Unlike traditional autoregressive models that generate text token by token, Mercury…
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Inception Labs launches Mercury 3 diffusion LLM at 1,068 tokens/sec · 2 sources tracked
Inception Labs has launched Mercury 3, a diffusion-based LLM that achieves 1,068 tokens per second on NVIDIA GPUs, significantly outperforming autoregressive models in speed. This new architecture allows for parallel re…
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Anthropic's Claude AI degraded by routing bugs, checks failed to detect
Anthropic experienced significant degradation in its Claude AI model between August and early September 2025 due to three infrastructure bugs. These issues primarily affected request routing, leading to incorrect server…
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Inception launches Mercury 3 diffusion LLM with 1M context, 1000+ tok/s speed
Inception has launched Mercury 3, a diffusion-based large language model that processes information in parallel rather than sequentially. The company claims it achieves a speed of 1,068 tokens per second on NVIDIA GPUs …
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Meta optimizes AI training for AMD GPUs with co-design approach
Meta has developed an end-to-end co-design approach to optimize AI training performance across diverse hardware, specifically focusing on AMD GPUs alongside their existing NVIDIA fleet and proprietary accelerators. This…
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User experiments with REFMOD for custom AI image generation
A Reddit user has shared their experimentation with REFMOD, a tool that allows for the creation of custom image generation models without the need for reference images. The user utilized a dataset of Linus Tech Tips to …
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GLM-5.3-Flash unveiled, serving 100T tokens/day on Chinese chips
A new model, Ox Alpha, has been unveiled as GLM-5.3-Flash, capable of processing 100 trillion tokens per day. Notably, this immense capacity is reportedly served using Chinese chips, achieving hardware efficiency and pe…
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Cohere expands North Micro Vision model support with MLX, Axolotl, and NVIDIA integrations
Cohere has announced expanded support for its North Micro Vision model, enabling fine-tuning and deployment across various platforms. The model now supports MLX for efficient operation on Apple devices and integrates wi…
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AI data centers' massive energy consumption sparks debate · 4 sources tracked
The energy consumption of AI data centers is a growing concern, with one source estimating that a single gigawatt of hyperscale data center capacity, filled with Nvidia GPUs, could rival the power usage of 700,000 to on…
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Mirendil secures $100M+ Google Cloud deal for self-improving AI research · 3 sources tracked
AI startup Mirendil has secured a significant multi-year partnership with Google Cloud, valued at over $100 million. This deal will provide Mirendil with substantial compute capacity, including Google's TPUs and Nvidia …
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AssemblyAI contrasts its speech AI with NVIDIA's models for production use
AssemblyAI has published a comparison of its speech-to-text models against NVIDIA's Parakeet and Canary, highlighting differences between benchmark and production accuracy. While NVIDIA's models excel on standard benchm…
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New LeakyLMs Attack Reveals Gemini Flash 2.5 Architecture via Timing
Researchers have developed a new set of attacks called LeakyLMs that can infer proprietary information about language models, including their architecture and inference optimizations, by analyzing token generation timin…
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OpenAI boosts ChatGPT, SpaceXAI rebrands Grok, SambaNova integrates with Nvidia GPUs
OpenAI has enhanced ChatGPT's conversational abilities with GPT-Live, enabling simultaneous talking, listening, and response formulation. Meanwhile, SpaceXAI, formerly known as X.AI, is rebranding its Grok model to appe…
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VTC framework eliminates data movement in DNN compilation
Researchers have developed VTC, a new deep neural network (DNN) compilation framework designed to eliminate unnecessary data movement. This framework introduces the concept of virtual tensors, which track data movement …
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Valve provides Windows drivers for Steam hardware but offers no support
Valve has released drivers and informational resources to facilitate the installation of Windows on its Steam hardware, including the Steam Deck LCD, Steam Deck OLED, and Steam Machine. While these resources aim to help…