Author Archives: Crebs Park

A radical leap in compute transparency is reshaping global AI infrastructure—and it’s free to use. Compute Exchange has launched the world’s first GPU Pricing Intelligence Calculator (PIC), a groundbreaking tool that provides real-time, historical, and forecasted GPU pricing data across global markets. The tool enhances transparency in AI infrastructure procurement, allowing users to compare hardware,Continue reading “Secrets of GPU Pricing: First-Ever AI Market Calculator Unleashed”

Get serious compute without draining your wallet — here are the lowest-cost GPU cloud providers this year. 💡 Introduction If you’re building AI models, training LLMs, running diffusion tools, or just tinkering with fine-tuning, one thing becomes clear fast: compute isn’t cheap. But it doesn’t have to be overpriced either. There’s a growing wave ofContinue reading “Top 10 Cheapest GPU Providers for AI Projects in 2025”

A quiet shift in the PC chip hierarchy could sideline GPUs — and AMD is poised to strike. AMD is exploring the development of a discrete neural processing unit (NPU) for PCs as an energy-efficient alternative to standalone GPUs, with executive Rahul Tikoo confirming ongoing discussions with OEMs and customers. While details remain under NDA,Continue reading “AMD Eyes Discrete NPU Revolution to Rival GPUs”

Europe’s frozen north is heating up with AI arms race energy. OpenAI is partnering with Nscale and Aker ASA to build a massive 100,000-GPU compute cluster in Kvandal, Norway by 2026, as part of its Stargate initiative. The Arctic-based facility will start with a $1 billion, 20-megawatt deployment — powered by local hydroelectric energy andContinue reading “Inside OpenAI’s Arctic Supercluster: 100,000 GPUs by 2026”

Not all GPU clouds are created equal. Here’s how to match your model, budget, and goals to the best compute provider. Find the best compute provider for your AI product The rise of large AI models and open-source LLMs has made compute one of the most valuable resources in tech. But most people still wasteContinue reading “How to Choose the Right GPU Compute Provider for Your AI Workload”

🔍 Overview This resource helps developers, startups, and enterprises compare and evaluate the top centralized GPU compute providers for AI workloads in 2025. It emphasizes performance, pricing, hardware specs, global reach, and ideal use cases. 1. Why Your Choice of Compute Provider Matters 2. Top Centralized GPU Compute Providers in 2025 Provider GPUs Offered PricingContinue reading “The Best Centralized Compute Providers for AI in 2025: How to Choose”

Built from scratch, Lisuan’s 6nm GPUs target gaming, AI, and metaverse dominance—with specs to back the ambition. Lisuan Tech has launched its first consumer and professional GPUs, the 7G106 and 7G105, powered by a fully homegrown TrueGPU architecture built on TSMC’s 6nm process. Aimed at gaming, AI, and metaverse workloads, the GPUs feature advanced specs,Continue reading “China’s TrueGPU Breakthrough: Lisuan Declares War on Nvidia”

Phison vs. Sandisk: Two radical paths to break AI’s memory bottleneck. GPU memory can’t keep up with AI model growth, so Phison and Sandisk offer two very different solutions. Phison’s aiDAPTIV+ is middleware that builds a virtual memory pool from GPU RAM, CPU DRAM, and fast SSDs, letting cheaper GPUs run models up to 70BContinue reading “The Secret War to Expand GPU Memory Limits”