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From Silicon to Token
The world of large‑language‑model inference moves fast. Meta’s Llama 4 and DeepSeek's range of models turns yesterday’s “good enough” hardware into today’s bottleneck, so picking the right platform is more strategic than ever. I compared eight options that keep popping up in various engineering and sales conversations, including consumer RTX GPUs, Apple Silicon, NVIDIA’s H‑series, Groq’s purpose‑built LPU, Cerebras’ wafer‑scale engine, and turnkey DGX workstations. Each proves valuable in th
GTC 2025: NVIDIA’s Big Moves and Bigger Questions
Explore NVIDIA's GTC 2025 reveals, from Hopper racks to Silicon Photonics. What challenges and surprises await digital infrastructure's future?
Behind the Curtain: AWS re:Invent 2024 Highlights
Expanding on my post from last week, it was great to see AWS leaning back into their engineering roots at re:Invent this year. They really pulled back the curtain to show us how they’re solving problems at a scale most of us can’t even imagine. It also brought back memories of my own work at re:Invent in 2018, working behind the scenes on level-400 (expert) break-out sessions, workshops and demos. Those experiences gave me a front-row seat to the kind of engineering depth AWS brings to the tabl
OCP Global Summit 2024 Series (part 4)
For the final piece of the Global Summit wrap up, I focus on Networking, both inside the server and between racks, and the crystal ball state of AI. Networking In the area of networking, the conference shed light on some fantastic initiatives that are set to redefine how we connect and scale AI systems. These are set to give users viable alternatives and real choice, providing some well needed competition in the space, and reduce reliance and supply-chain risks. SCALE UP with UALink (Ultra A