In his recent interview, Jensen Huang presented a unique type processor and potent software development tools for DOCA, DPU, as well as a plan of 3 years for these AI-based advancements. The NVIDIA DPU is the first chip-based data center infrastructure that is tailored to today's industry data hubs. DOCA containers are essential for the DPU's ability to unload, rev, and separate data hub services, allowing business & AI apps to reach higher stages of arrangement, surveillance, and trust. DOCA has been specially designed to allow you to provide a wide variety of software networking, security, storage & management services on both current & future DPUs.
Bluefield-2X, the world's first AI-Powered GPU, combines all of Bluefield-2's features with the NVIDIA GPU technology. Furthermore, DOCA now supports Bluefield-2X, creating AI-driven management & cybersecurity apps.
DOCA & Bluefield DPU series, NVIDIA is recreating the business data hub stack, helping in building safe and fast infrastructure services. It is the GPU counterpart of CUDA. Similar to how CUDA allows you to develop fast computing apps, the DOCA allows you to design data processing acceleration for transporting data in & outside the servers, virtual machines, and containers. It works in conjunction with CUDA to give consumers access to the complete variety of NVIDIA AI apps in a safe, paced data hub.
DOCA is only available to a select group of early adopters. Drivers, equipment, quick libraries, & support for a range of operating systems are all included in Bluefield-2, which is presently available for testing.
We'll go through the advantages that DOCA offers and the Application Programming Interfaces that make it a robust development software for boosting server presentation, effectiveness, and safety from the data hub to the edge.
Demystifying the Problems of a software-defined world
"Software is engulfing the globe," Marc Andreessen said in one very well-known publication of 2011. Take a look at the year 2020. For the past 15 years, hardware devices that dominated commercial data hubs have been replaced by virtualized software gadgets that run on every server. Modern business data hubs are software-defined, completely programmable, and engineered to service distributed system application workloads across cloud, core, and edge environments. Additionally, they are designed to serve distributed system workload across cloud, core, and edge settings.
While delivering cloud storage flexibility and agility, this software-defined data hub demands a large number of cores. The technology "performance tax" redirects Cpu cycles away from business apps or tenants, lowering server & data center efficiency.
DOCA enables application developers and NVIDIA technology partners to deploy services on the GPU within each data center node, effectively transforming the GPU into a secure and isolated services domain for networking, security, storage, and infrastructure management. The GPU accelerates all-important data center infrastructure services and runs control-plane software such as SDN controllers, distributed storage software, and next-generation firewall agents on its programmable Arm cores.
Time-to-market and infrastructure services are being accelerated.
DOCA is a software development kit (SDK) for activating the GPU's acceleration, security, and virtualization features. It comprises APIs, libraries, example code, & packed containers. DOCA provides a standardized set of trustworthy tools for creating critical data warehouse services that run on the GPU and handle a wide range of activities involving the processing of data. Manage network traffic, virtualize and compress storage, encrypt and decrypt data, check for security problems, integrate with online management tools, and execute control plane programs on Arm cores are just a few of the responsibilities. These unload & accelerators may be built to run alone or in combination with NVIDIA AI software made for the GPUs, and they can be integrated with them.
DOCA gives app makers, device makers, & NVIDIA software suppliers a single SDK to implement every one of these GPU functions. Endpoints exist for a wide range of purposes, both in low-level APIs and high-level programming languages. GPUs are used to power these services.
Due to new and updated accelerators, future Bluefield GPU versions will have much higher processing power. DOCA takes advantage of new APIs to ensure future GPU interoperability with new features. NVIDIA is dedicated to improving performance by using design process devices and system innovation. We continue to improve performance and capabilities across cloud, core, and edge settings and application workloads.
Try DOCA now
You may experience DOCA right now with the GPU software bundle, which includes DOCA runtime accelerated libraries for networking, storage, and security. You may use the libraries to program your GPU-based data center infrastructure.
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