Tech • IA • Crypto
50 articles analyzed by AI / 393 total
AMD and Anthropic announced a $5 billion partnership to expand AI computing capacity, with Anthropic deploying up to 2 gigawatts of AMD Instinct MI450 GPUs using Helios technology. This large-scale infrastructure deal showcases a significant architectural investment aimed at scaling AI models with specialized GPU accelerators.
Alphabet’s cloud revenue grew 82% year-over-year, driven by a doubling of AI infrastructure investment, highlighting the commercial scaling of AI cloud services. The growth underscores enterprise demand for AI-ready scalable cloud infrastructure supporting model training and inference at scale.
Mirantis achieved CNCF certified Kubernetes AI conformance for its k0s and k0rdent distributions, validating enterprise-ready AI infrastructure management from cluster to fleet scale. This certification supports robust, scalable orchestration patterns essential for deploying production AI workloads in Kubernetes environments.
Hut 8 fully leased its upcoming 1-gigawatt AI campus prior to launch, illustrating robust demand for large-scale AI infrastructure from enterprise customers. The pre-leasing success signals a trend toward early-stage customer commitment for AI data center capacity.
Weka launched NeuralMesh 6 and WEKApod products designed to enhance AI inference infrastructure, pushing scalability and performance limits. These products target optimized AI serving pipelines for large-scale models, focusing on low-latency inference in demanding production environments.
Mirantis’ k0s and k0rdent received CNCF certification confirming their readiness for enterprise AI infrastructure deployments, emphasizing compliance and stability for managing AI workloads on Kubernetes at scale. This milestone facilitates production-grade AI orchestration for organizations adopting containerized AI systems.
This article provides a detailed technical guide to building a lightweight LLM inference runtime from scratch using an NVIDIA H100 GPU. It covers CUDA graph optimization, debugging techniques, and performance tuning, offering actionable insights into custom LLM runtime development at the hardware acceleration level.
The article outlines a practical walkthrough for building an LLM agent capable of writing and executing code, leveraging the OpenAI Agents SDK and Docker for containerized deployment. It provides step-by-step engineering details on integration and operationalizing coding agents in software stacks.
Hut 8 secured a $9.8 billion AI infrastructure deal in Texas for large-scale data center and AI hardware deployment. This investment illustrates the scale and financial commitment required to build hyperscale AI compute environments powering production AI systems.
Axe Compute surpassed its 2026 goal by securing $1.3 billion in AI infrastructure contracts in 2023, demonstrating rapid market growth and strong demand for AI hardware worldwide. Their deployment pipelines emphasize scalable GPU provisioning and AI workload acceleration.