
NVIDIA's Secret Chip Fuses GPU and Groq for OpenAI
NVIDIA will unveil a new inference processor built on Groq's LPU architecture at GTC 2026, with OpenAI as its first major customer allocating 3 GW of dedicated capacity.
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NVIDIA will unveil a new inference processor built on Groq's LPU architecture at GTC 2026, with OpenAI as its first major customer allocating 3 GW of dedicated capacity.

Alibaba unveils Qwen-branded AI smart glasses at MWC Barcelona with pre-orders starting March 2, challenging Meta's dominance in a wearable AI market that tripled last year.

Awesome Agents launches a dedicated Hardware section with detailed spec pages for 21 GPUs, TPUs, and AI accelerators - from datacenter flagships to home lab favorites.

Two very different approaches to desktop AI hardware - a 32 GB eGPU with 1,792 GB/s bandwidth versus a 128 GB unified memory mini PC with full CUDA. Which one should you buy?

A review of the Gigabyte AORUS RTX 5090 AI BOX - a liquid-cooled eGPU packing a full desktop RTX 5090 with 32 GB GDDR7, connecting to any laptop over Thunderbolt 5 for $2,999.

A hands-on review of the NVIDIA DGX Spark - a 128 GB Grace Blackwell mini PC that promises 1 petaflop of AI performance on your desk for $4,699.

A complete guide to setting up the NVIDIA DGX Spark - from unboxing and first boot to running LLM inference, fine-tuning models, and optimizing performance.

Groq's LPU chips deliver inference speeds that make GPUs look slow - 1,200+ tokens per second on Llama 4. We benchmark latency, throughput, model availability, and pricing against the GPU-based competition.

People are spending $2,200 on Mac Minis to run OpenClaw - an agent that calls Claude and OpenAI APIs remotely. The Mac Mini's GPU sits idle. Any old laptop, desktop, or even an Android phone can make HTTP requests just as well.

LLMfit is a Rust-based terminal tool that scans your hardware and scores 157 LLMs across 30 providers for compatibility, speed, and quality. Here is why it matters.

Toronto startup Taalas raises $169M to build custom chips that permanently etch AI model weights into transistors, claiming 73x faster inference than Nvidia's H200 at a fraction of the power.