How GPUs could shape the future of blockchain and blockchain could shape the future of GPUs
Jensen Huang's keynote at GTC 2025 has again been a real show. It gave insights on the future of AI, quantum computing, self-driving cars, etc. But I couldn't help but notice one big absence though: blockchain.
AI, especially with the advent of Large Language Models (LLMs) has driven a massive demand for GPUs. Real-time processing in self-driving cars is also very demanding, so those are areas where GPUs can play a critical role. However, while GPUs have historically been used for cryptocurrency mining, it seems like Nvidia has been cautious about blockchain as a focus area in recent years. This might be due to the volatility of the market, regulatory concerns, or a shift in the overall blockchain landscape -- especially with Ethereum's shift from proof-of-work to proof-of-stake, which reduces the need for traditional mining hardware.
Updated platform helps developer and data science teams use GPUs to embrace AI
Platform-as-a-Service (PaaS) provider Rafay Systems is launching new capabilities for its enterprise PaaS for modern infrastructure to support graphics processing unit- (GPU-) based workloads.
This makes compute resources for AI instantly usale by developers and data scientists but still with the enterprise-grade protections.
Unlock superior machine learning performance on Ubuntu Linux with AMD ROCm 5.7 and RDNA 3
The landscape of Machine Learning (ML) is constantly evolving, and the tools that power this tech revolution are accelerating at an equal pace. AMD has recently unveiled its ROCm 5.7 platform on Ubuntu Linux, marking a significant stride towards empowering ML practitioners with robust resources.
This latest update is designed to harness the parallel computing prowess of the newly introduced Radeon RX 7900 XTX and Radeon PRO W7900 graphics cards, both of which are built on the advanced AMD RDNA 3 GPU architecture.