NVIDIA BlueField-4 Powers a New Class of AI; understand

Continuing with its plans to enable innovative technologies, NVIDIA BlueField-4 Powers a New Class of AI-Native Storage Infrastructure

Time Verde revealed the platform NVIDIA Inference Context Memory Storagea specific storage infrastructure for artificial intelligence (AI) applications.

The system is equipped with data processor NVIDIA BlueField-4 and responds to a growing demand: need to manage absurd volumes of data context generated by advanced language models.

These models, which operate with trillions of parameters and perform complex reasoning, produce a key-value cache.

This information is essential for maintain accuracy and continuity in interactionsbut its location on GPUs becomes an obstacle for real-time inference, especially in systems with multiple agents.

How Context Memory Accelerates AI Inference

The presented solution creates an iscalable infrastructure that expands the memory capacity of GPUs. It allows the fast data sharing between different processing nodes.

According to the NVIDIAthis approach can increase the number of tokens processed per second in aup to five timesin addition to offering a gain in energy efficiency in the same proportion compared to traditional storage methods.

Jensen Huangfounder and chief executive of NVIDIA and known for his famous leather jacket, commented that the intelligence artificial It is transforming every layer of computing, including storage.

He noted that the Today’s AI acts as a collaborator that understands contextsreasons in the long term and maintains memories, therefore requiring a new technology stack.

Key Technical Capabilities of BlueField-4 for AI

a platforma increases key-value cache capacity em clusters large-scale and speeds up context sharing. This results in a improvement in response time and supporting the efficient expansion of multi-agent systems.

Among the features enabled by BlueField-4 is the hardware-managed cache placementwhich reduces metadata overhead and ensures isolated and protected access.

Efficient data sharing is enabled by the network structure NVIDIA Spectrum-X Ethernetwhich allows direct access to memory.

Integration with software such as NVIDIA NIXL library and the NVIDIA Dynamo aims to maximize processing speed and reduce latency at the beginning of responses.

read more

NVIDIA BlueField-4 Powers a New Class of AI-Native Storage Infrastructure; conclusions

Marcio Aguiardirector of NVIDIA’s Enterprise division for Latin America, explained that BlueField-4 was developed to meet the demand for models with extensive context and continuous inference, in which storage becomes an acceleration component.

Several companies in the sector have already started developing products based on this technology.

Manufacturers like AIC, Cloudian, Fire, Dell Technologies, HPE, Hitachi Vantara, IBM, Nutanix, Pure Storage, Supermicro, VAST Data e WEKA are among the first to create next-generation storage platforms with BlueField-4. The expected launch date for the market is second half of 2026.

And there? What did you think of the news? Share your point of view in this post and continue following Adrenaline!

Source: Official website