Computing

TurboQuant: Inner Workings and Implications

Google's year old research resurfaced in a recent blog post and spooked memory investors.

Mar 26 • Vikram Sekar

Beyond GTC: A Deep Dive into Compute, LPX, and the Untold Story of SpecDec

Analyzing the CPU, GPU, and LPU chip ratios unveiled at the Nvidia GTC keynote, the impact of the Groq LPX chip on disaggregated decoding, and its…

Mar 18 • Vikram Sekar

GTC 2026 Preview | Implications of Nvidia's SRAM-Decode Hardware on the Inference Market

The case for dedicated decode hardware and what it means for AMD, HBM, and the SRAM startup market.

Mar 4 • Vikram Sekar

The AI Datacenter CPU Yellow Pages

Grace, Vera, Venice, Turin, Diamond/Granite Rapids, Clearwater/Sierra Forest, Graviton, Cobalt, Phoenix, AmpereOne.

Feb 24 • Vikram Sekar

The CPU Bottleneck in Agentic AI and Why Server CPUs Matter More Than Ever

How agent orchestration shifts the CPU-GPU ratio, a framework for scoring server CPUs across reasoning and action workloads, applied to 17 datacenter…

Feb 17 • Vikram Sekar

How d-Matrix's In-Memory Compute Tackles AI Inference Economics

A deep look into the architecture from chip construction to rack-scale deployments, performance metrics, and end applications.

Dec 9, 2025 • Vikram Sekar

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