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AI Infrastructure

AI Infrastructure

AI infrastructure startups, data center deployments, and hardware supply chain developments

ai infrastructureJun 25, 20263 min

Beyond the GPU: The 'Jalapeño' ASIC and the Future of Inference Infrastructure

OpenAI and Broadcom have announced a new, specialized ASIC named Jalapeño, designed to optimize large language model inference and improve performance per watt in data centers by the end of 2026.

ai infrastructureJun 25, 20264 min

SoftBank Charts European Sovereign AI Push with €75 Billion French Data Center Expansion

SoftBank's €75 billion expansion into French data centers signals a major pivot in AI infrastructure strategy. Discover how this massive investment leverages sovereign AI and grid capacity.

ai infrastructureJun 24, 20265 min

Intel's Handheld Gaming Ambitions: An Analysis of the New Arc G-Series

A breakdown of Intel's entry into the gaming handheld market with its Arc G3 processors, comparing them against the established AMD Ryzen Z-series.

ai infrastructureJun 21, 20266 min

LLM KV Cache Compression: Quantization, Eviction & Paging Strategies for Cost-Throughput Optimization in 2026

A technical survey of KV cache compression techniques in 2026—quantization (4-bit AWQ/GPTQ/TurboQuant), eviction policies (RL-based KVP, attention-weighted AWE/SLIDE), and paging (PagedAttention)—with benchmarks on memory reduction (55-80%), capacity gains (2.3-3.7x), and throughput-latency tradeoffs for cost optimization.

ai infrastructureJun 18, 20264 min

TensorWave to Use $350 Million Funding to Expand Data Centers with AMD Chips

TensorWave, an AI infrastructure startup positioning itself as an alternative to NVIDIA-focused data centers, has secured $350 million in new funding that will be used to expand its infrastructure with AMD chips.

ai infrastructureJun 18, 20264 min

Google DeepMind releases DiffusionGemma, a model that runs local AI 4x faster

DiffusionGemma represents a paradigm shift in text generation, using diffusion techniques to achieve 4x speed improvements over autoregressive Gemma models while maintaining quality.