The AI economy just got a lot more serious—and a lot more complicated. One of the biggest stories this week is Anthropic’s blockbuster deal with SpaceX, leasing over 220,000 NVIDIA GPUs and 300 megawatts of power at a cost estimated around $5 billion annually. This move isn’t just about scaling—it signals a shift where compute
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All posts tagged in GPU Computing
AMD has announced that its latest FSR 4.1 upscaling technology will soon work on older Radeon RX graphics cards. This update will start rolling out in July, initially supporting RDNA 3 GPUs. Until now, FSR 4.1 was only available on the latest Radeon RX 9000 series cards, which have specialized hardware to run the tech.
Building and running large foundation models require powerful infrastructure and a well-coordinated software ecosystem. On AWS, this involves combining hardware, resource management, and open-source tools to support everything from training to inference. Understanding how these pieces fit together helps teams optimize performance and scale effectively. Core Infrastructure: Compute, Networking, and Storage At the heart of
Managing large GPU fleets in data centers is becoming more complex as organizations push for higher performance and efficiency. With thousands of GPUs running diverse workloads, it’s crucial to have clear visibility into their operational state. NVIDIA Fleet Intelligence offers a new way to monitor and optimize these fleets in real time, helping teams catch
Nvidia has built a powerful advantage that’s not about hardware alone. Instead, it’s about a software called CUDA. This technology has become the secret weapon that keeps Nvidia at the forefront of artificial intelligence and high-performance computing. The Concept of a Digital Moat In business talk, a “moat” is a barrier that protects a company
Recently, xAI announced a major deal with Anthropic that has many industry watchers feeling cautious. Instead of focusing solely on developing new AI models, xAI will now provide all the computing power for Anthropic’s AI products. The arrangement involves Anthropic purchasing all the compute capacity at xAI’s Colossus 1 data center in Tennessee. This shift
NVIDIA has introduced an experimental tool called cuda-oxide that aims to make writing GPU code in Rust easier. This new compiler backend allows developers to write CUDA kernels directly in Rust and compile them into PTX, the low-level language NVIDIA GPUs understand. The project is still in early stages but shows promise for integrating Rust
With the latest advancements in GPU cluster design, NVIDIA’s GB200 NVL72 introduces a new way to build high-performance systems. It extends NVLink coherence across an entire rack, connecting 72 GPUs with unprecedented bandwidth. This setup offers exascale capabilities but also demands smarter scheduling strategies to maintain peak performance. Understanding the Unique Architecture of NVIDIA GB200
Anthropic has announced a significant increase in usage limits for its Claude Code platform. The move comes after sealing a new deal with SpaceX to access the company’s massive data center in Memphis, Tennessee. This partnership aims to support the rising demand for Anthropic’s AI models, especially among professional developers and enterprise users. New Compute
An OpenAI executive revealed in court that the company expects to spend around $50 billion on computing power before the end of 2026. The statement was made during a legal hearing involving the company and Elon Musk. This staggering figure highlights the immense costs involved in developing advanced artificial intelligence models today. The Scale of
