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NVIDIA's NVLink Fusion: True Innovation or Strategic Lock-in?
NVIDIA's NVLink Fusion True Innovation or Strategic Lock-in? Earlier this week at Computex, Jensen Huang introduced NVLink Fusion, positioning it as a means to "democratize scale-up" by allowing customers to mix and match compute architectures. On the surface, this suggests flexibility: integrating CPUs, GPUs, and specialized silicon, all interconnected via NVIDIA's high-performance NVLink. However, upon closer examination, this appears to be more of an illusion of choice.
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
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The IPv4 Crisis That Almost Broke Our Scaling Plans
During my deployment engineering days at Amazon, we were in the middle of what felt like controlled chaos. New AWS regions launching monthly, services expanding globally, data centers coming online faster than anyone thought possible.
NVIDIA's NVLink Fusion: True Innovation or Strategic Lock-in?
NVIDIA's NVLink Fusion True Innovation or Strategic Lock-in? Earlier this week at Computex, Jensen Huang introduced NVLink Fusion, positioning it as a means to "democratize scale-up" by allowing customers to mix and match compute architectures. On the surface, this suggests flexibility: integrating CPUs, GPUs, and specialized silicon, all interconnected via NVIDIA's high-performance NVLink. However, upon closer examination, this appears to be more of an illusion of choice.
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?