DataBloomNVIDIA and Google Cloud are creating a bridge linking the tools of data science to the muscle of the cloud with one click. Most data scientists work in Jupyter Notebooks, open-source development environments that can run code, show visualizations and display text notes, too. But it can take many complex steps to move this rich Read article >
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To better expose the 9,000+ members of NVIDIA Inception to venture capital funding, we’ve introduced a new program benefit to connect these startups with our rapidly growing community of 200 VCs and investors. The NVIDIA Inception VC Alliance will open new paths for startups to engage, create introductions and accelerate potential funding, which will facilitate Read article >
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With NVIDIA Omniverse, millions of developers around the world can now take their workflows to the next level. At GTC, we introduced exclusive events, sessions and other resources to showcase how we’re expanding Omniverse, the multi-GPU, real-time simulation, and reference development platform for 3D workflows. Our dedicated Developer Day was an exclusive event that offered Read article >
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NVIDIA GTC is live and bustling, bringing together the world’s most brilliant and creative minds who shape our world with the power of AI, computer graphics and more. At the show, we announced new features for NVIDIA Omniverse, our real-time digital-twin simulation and collaboration platform for 3D workflows. These include Omniverse VR, Remote and Showroom, Read article >
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Researchers tackling the challenge of visual misinformation — think the TikTok video of Tom Cruise supposedly golfing in Italy during the pandemic — must continuously advance their tools to identify AI-generated images. NVIDIA is furthering this effort by collaborating with researchers to support the development and testing of detector algorithms on our state-of-the-art image-generation models. Read article >
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This week’s GFN Thursday packs a prehistoric punch with the release of Jurassic World Evolution 2. It also gets infinitely brighter with the release of Bright Memory: Infinite. Both games feature NVIDIA RTX technologies and are part of the six titles joining the GeForce NOW library this week. GeForce NOW RTX 3080 members will get Read article >
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For millions of professionals around the world, 3D workflows are essential. Everything they build, from cars to products to buildings, must first be designed or simulated in a virtual world. At the same time, more organizations are tackling complex designs while adjusting to a hybrid work environment. As a result, design teams need a solution Read article >
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The earth is warming. The past seven years are on track to be the seven warmest on record. The emissions of greenhouse gases from human activities are responsible for approximately 1.1°C of average warming since the period 1850-1900. What we’re experiencing is very different from the global average. We experience extreme weather — historic droughts, Read article >
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The appetite for AI and data science is increasing, and nowhere is that more prevalent than in emerging markets. Registrations for this week’s GTC from African nations tripled compared with the spring edition of the event. Indeed, Nigeria had the third most registered attendees for countries in the EMEA region, ahead of France, Italy and Read article >
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Introducing the first GPU+DPU in a single package.
The modern data center is becoming increasingly difficult to manage. There are billions of possible connection paths between applications and petabytes of log data. Static rules are insufficient to enforce security policies for dynamic microservices, and the sheer magnitude of log data is impossible for any human to analyze.
AI provides the only path to the secure and self-managed data center of the future.
The NVIDIA converged accelerator is the world’s first AI-enhanced DPU. It combines the computational power of GPUs with the network acceleration and security benefits of DPUs, creating a single platform for AI-enhanced data center management. Converged accelerators can apply AI-generated rules to every packet in the data center network, creating new possibilities for real-time security and management.
At NVIDIA GTC, we are introducing two new converged accelerators. The A100X combines an A100 Tensor Core GPU with a NVIDIA BlueField-2 data processing unit on a single module. The A30X combines an A30 Tensor Core GPU with the same BlueField-2 DPU. The converged cards have the unique ability to extend the BlueField-2 capabilities of offloading, isolating, and accelerating the network to include AI inference and training.
Both accelerators feature an integrated PCIe switch between the DPU and GPU. The integrated switch eliminates contention for host resources, enabling line-rate GPUDirect RDMA performance. The integrated switch also improves security by isolating data movement between the GPU and NIC.
The converged accelerators support two modes of operation:
In BlueField-X mode, the GPU is dedicated exclusively to the operating system running on the DPU. BlueField-X mode creates a new class of accelerator never before seen in the industry: a GPU-accelerated DPU.
In BlueField-X mode, the GPU can run AI models on the data flowing through the DPU as a “bump in the wire.” There is no performance overhead and no compromise on security. The AI model is fully accelerated without consuming host resources.
BlueField-X unlocks novel use cases for cybersecurity, data center management, and I/O acceleration. For example, the Morpheus Cybersecurity framework uses machine learning to take action on security threats that were previously impossible to identify. Morpheus uses DPUs to harvest telemetry from every server in the data center and send it to GPU-equipped servers for analysis.
With BlueField-X, the AI models can run locally on the converged accelerator in each server. This allows Morpheus to analyze more data, faster, while simultaneously eliminating costly data movement and reducing the attack surface for malicious actors. Malware detection, data exfiltration prevention, and dynamic firewall rule creation are Morpheus use cases enabled by BlueField-X.
The Morpheus example only scratches the surface of what is possible with BlueField-X. Our customers routinely share ideas that we had not yet considered. To enable more creative exploration of AI-enabled networks, we are introducing the NVIDIA Converged Accelerator Developer Kit.
With this developer kit, we provide early access to A30X accelerators for select customers and partners building the next generation of accelerated AI network applications. Discover new applications for BlueField-X in edge computing or data center management. Some ideas to help get you started include:
The NVIDIA Converged Accelerator Developer Kit contains sample applications that combine CUDA and NVIDIA DOCA, and documentation to help you install, configure your new converged accelerator. Most importantly, we provide access to an A30X and usage support in exchange for feedback.
To get started, simply register your interest on the NVIDIA Converged Accelerator Developer Kit webpage. If approved, we will contact you once the hardware is ready to ship and you can start building the next generation of accelerated applications.
We hope that you share our excitement for building a new class of real-time AI applications for data center management and edge computing. Let the discovery begin.