The post NVIDIA Enhances AI Scalability with NIM Operator 3.0.0 Release appeared on BitcoinEthereumNews.com. Darius Baruo Sep 10, 2025 17:33 NVIDIA’s NIM Operator 3.0.0 introduces advanced features for scalable AI inference, enhancing Kubernetes deployments with multi-LLM and multi-node capabilities, and efficient GPU utilization. NVIDIA has unveiled the latest iteration of its NIM Operator, version 3.0.0, aimed at bolstering the scalability and efficiency of AI inference deployments. This release, as detailed in a recent NVIDIA blog post, introduces a suite of enhancements designed to optimize the deployment and management of AI inference pipelines within Kubernetes environments. Advanced Deployment Capabilities The NIM Operator 3.0.0 facilitates the deployment of NVIDIA NIM microservices, which cater to the latest large language models (LLMs) and multimodal AI models. These include applications across reasoning, retrieval, vision, and speech domains. The update supports multi-LLM compatibility, allowing the deployment of diverse models with custom weights from various sources, and multi-node capabilities, addressing the challenges of deploying massive LLMs across multiple GPUs and nodes. Collaboration with Red Hat An important facet of this release is NVIDIA’s collaboration with Red Hat, which has enhanced the NIM Operator’s deployment on KServe. This integration leverages KServe lifecycle management, simplifying scalable NIM deployments and offering features such as model caching and NeMo Guardrails, which are essential for building trusted AI systems. Efficient GPU Utilization The release also marks the introduction of Kubernetes’ Dynamic Resource Allocation (DRA) to the NIM Operator. DRA simplifies GPU management by allowing users to define GPU device classes and request resources based on specific workload requirements. This feature, although currently under technology preview, promises full GPU and MIG usage, as well as GPU sharing through time slicing. Seamless Integration with KServe NVIDIA’s NIM Operator 3.0.0 supports both raw and serverless deployments on KServe, enhancing inference service management through intelligent caching and NeMo microservices support. This integration… The post NVIDIA Enhances AI Scalability with NIM Operator 3.0.0 Release appeared on BitcoinEthereumNews.com. Darius Baruo Sep 10, 2025 17:33 NVIDIA’s NIM Operator 3.0.0 introduces advanced features for scalable AI inference, enhancing Kubernetes deployments with multi-LLM and multi-node capabilities, and efficient GPU utilization. NVIDIA has unveiled the latest iteration of its NIM Operator, version 3.0.0, aimed at bolstering the scalability and efficiency of AI inference deployments. This release, as detailed in a recent NVIDIA blog post, introduces a suite of enhancements designed to optimize the deployment and management of AI inference pipelines within Kubernetes environments. Advanced Deployment Capabilities The NIM Operator 3.0.0 facilitates the deployment of NVIDIA NIM microservices, which cater to the latest large language models (LLMs) and multimodal AI models. These include applications across reasoning, retrieval, vision, and speech domains. The update supports multi-LLM compatibility, allowing the deployment of diverse models with custom weights from various sources, and multi-node capabilities, addressing the challenges of deploying massive LLMs across multiple GPUs and nodes. Collaboration with Red Hat An important facet of this release is NVIDIA’s collaboration with Red Hat, which has enhanced the NIM Operator’s deployment on KServe. This integration leverages KServe lifecycle management, simplifying scalable NIM deployments and offering features such as model caching and NeMo Guardrails, which are essential for building trusted AI systems. Efficient GPU Utilization The release also marks the introduction of Kubernetes’ Dynamic Resource Allocation (DRA) to the NIM Operator. DRA simplifies GPU management by allowing users to define GPU device classes and request resources based on specific workload requirements. This feature, although currently under technology preview, promises full GPU and MIG usage, as well as GPU sharing through time slicing. Seamless Integration with KServe NVIDIA’s NIM Operator 3.0.0 supports both raw and serverless deployments on KServe, enhancing inference service management through intelligent caching and NeMo microservices support. This integration…

        Highlights:  The BNB price is down 2% to $1111.46, despite the trading volume spiking 26%. The BNB on-chain demand has slipped, with the open interest plummeting 3% showing a drop in demand.  The technical outlook shows a tight tug-of-war, with the bulls attempting to overcome resistance zones.   The BNB price is down 2% today, to trade at $1111.46. Despite the plunge, the daily trading volume has soared 26% showing increased market activity among traders. However, BNB Chain has seen declining network activity, with the open interest plummeting, signaling a drop in demand.  On Chain Demand on BNB Cools Off The BNB Chain is in a state of cooldown of network activity, which indicates low on-chain demand. In most instances, when a network fails to ensure large volumes or revenues, it means that there is low demand or outflows to other networks.  BNB DeFi Data: DeFiLlama According to DeFiLlama data, the volume of the Decentralized Exchanges (DEXs) is down to at least $2.12 billion in comparison to the high of $6.313 billion on October 8, which also means low on-chain liquidity.  On the other hand, Coinglass data shows that the volume of BNB has grown by 3.97% to reach $4.95 billion. However, the open interest in BNB futures has dropped by 3.36% to reach $1.74 billion. This reduction in open interest is an indication of a conservative stance by investors since the number of new positions being opened is low. This could be an indication that investors are not so sure about the short-term price outlook. BNB Derivatives Data: CoinGlass Meanwhile, the long-to-short ratio is sitting at 0.9091. This shows that the traders are undecided on BNB price’s next move, as it sits below 1.  BNB Price Moves Into Consolidation The chart displays the BNB/USD price action on a 4-hour timeframe, with the token currently hovering around $1111.46. The 50-day Simple Moving Average (SMA) is at $1113, while the 200-day SMA sits at $1129, cushioning the bulls against upside movement. The price has mostly been trending below both SMAs, indicating that the bears are having the upper hand.  The BNB trading volume is up, soaring 26%, signaling the momentum is real. On the 4-hour chart, BNB is trading within a consolidation channel. In such a case, this pattern may act as an accumulation period, giving the bulls hind wings to break above resistance zones.  BNB/USD 4-hour chart: TradingView Zooming in, the Relative Strength Index (RSI) sits at 44.15, below the 50 level. This shows weakening momentum in the BNB market, and might lead to the RSI plunging to the oversold region if the bulls don’t regain control. In the short term, the BNB price could move up to $1113 resistance and flip it into support. A close above this zone will see the bulls target $1126 resistance, giving the bulls strength to reclaim the $1230 mark.  Conversely, if the resistance zones prove too strong, a dip towards $1012 could be plausible. In such a case, this could be a prime buy zone for the risk-takers. In the long term, if the token keeps the hype alive, the bulls may reclaim the $1375 high or higher.    eToro Platform    Best Crypto Exchange   Over 90 top cryptos to trade Regulated by top-tier entities User-friendly trading app 30+ million users    9.9   Visit eToro eToro is a multi-asset investment platform. The value of your investments may go up or down. Your capital is at risk. Don’t invest unless you’re prepared to lose all the money you invest. This is a high-risk investment, and you should not expect to be protected if something goes wrong.