Announced that the NVIDIA Spectrum-X™ Ethernet networking platform for AI will be integrated into servers from Dell Technologies, Hewlett Packard Enterprise and Lenovo in the first quarter of next year.Introduced an AI foundry service - with NVIDIA AI Foundation Models, NVIDIA NeMo™ framework and NVIDIA DGX™ Cloud AI supercomputing - to accelerate the development and tuning of custom generative AI applications, first available on Microsoft Azure, with SAP and Amdocs among the first customers.Announced NVIDIA HGX™ H200 with the new NVIDIA H200 Tensor Core GPU, the first GPU with HBM3e memory, with systems expected to be available in the second quarter of next year.Third-quarter revenue was a record $14.51 billion, up 41% from the previous quarter and up 279% from a year ago.NVIDIA achieved progress since its previous earnings announcement in these areas: GAAP and non-GAAP tax rates are expected to be 15.0%, plus or minus 1%, excluding any discrete items.GAAP and non-GAAP other income and expense are expected to be an income of approximately $200 million, excluding gains and losses from non-affiliated investments.GAAP and non-GAAP operating expenses are expected to be approximately $3.17 billion and $2.20 billion, respectively.GAAP and non-GAAP gross margins are expected to be 74.5% and 75.5%, respectively, plus or minus 50 basis points.Revenue is expected to be $20.00 billion, plus or minus 2%.NVIDIA’s outlook for the fourth quarter of fiscal 2024 is as follows: NVIDIA will pay its next quarterly cash dividend of $0.04 per share on December 28, 2023, to all shareholders of record on December 6, 2023. The era of generative AI is taking off,” he said. “NVIDIA GPUs, CPUs, networking, AI foundry services and NVIDIA AI Enterprise software are all growth engines in full throttle. Nations and regional CSPs are investing in AI clouds to serve local demand, enterprise software companies are adding AI copilots and assistants to their platforms, and enterprises are creating custom AI to automate the world’s largest industries. “Large language model startups, consumer internet companies and global cloud service providers were the first movers, and the next waves are starting to build. “Our strong growth reflects the broad industry platform transition from general-purpose to accelerated computing and generative AI,” said Jensen Huang, founder and CEO of NVIDIA. Non-GAAP earnings per diluted share were $4.02, up nearly 6x from a year ago and up 49% from the previous quarter. GAAP earnings per diluted share for the quarter were $3.71, up more than 12x from a year ago and up 50% from the previous quarter. NVIDIA (NASDAQ: NVDA) today reported revenue for the third quarter ended October 29, 2023, of $18.12 billion, up 206% from a year ago and up 34% from the previous quarter. Record Data Center revenue of $14.51 billion, up 41% from Q2, up 279% from year ago.Record revenue of $18.12 billion, up 34% from Q2, up 206% from year ago.NVIDIA CUDA Toolkit has not been rated by our users yet. NVIDIA CUDA Toolkit runs on the following operating systems: Windows. It was initially added to our database on. The latest version of NVIDIA CUDA Toolkit is 0.80.0, released on. It was checked for updates 94 times by the users of our client application UpdateStar during the last month. NVIDIA CUDA Toolkit is a Shareware software in the category Education developed by NVIDIA Corporation. For more information on system requirements and getting started with the toolkit, refer to NVIDIA's documentation. Note that in order to use the CUDA Toolkit, a compatible NVIDIA GPU is required. Whether a user is looking to accelerate an existing application or create a new one from scratch, the NVIDIA CUDA Toolkit provides the necessary tools to take advantage of GPU acceleration. Provides performance analysis tools for optimizing GPU usage.Includes samples and documentation to help users get started.Supports Linux, Windows, and macOS operating systems.Developers can also use their preferred third-party libraries and frameworks with the toolkit. The NVIDIA CUDA Toolkit supports C, C++, and Fortran programming languages, as well as APIs such as cuBLAS, cuFFT, and cuRAND for fast linear algebra, fast Fourier transforms, and random number generation, respectively. The toolkit includes a compiler, libraries, and tools for accelerating scientific simulations, video and image processing, machine learning, and more. The NVIDIA CUDA Toolkit is a software development kit created by NVIDIA Corporation for developers who want to harness the power of GPUs for their applications.
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