Dr. Cesar de Cesar Netto: Weight Bearing CT in Foot & Ankle Evaluation

Dr. Cesar de Cesar Netto, an Orthopedic Surgeon specializing in foot and ankle surgery, discusses the necessity of weight bearing CT in evaluating patients with flatfoot deformity.

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GPU infrastructure
Amberd Moves to the Front of the Line With QumulusAI’s GPU Infrastructure
February 18, 2026

Reliable GPU infrastructure determines how quickly AI companies can execute. Teams developing private LLM platforms depend on consistent high-performance compute. Shared cloud environments often create delays when demand exceeds available capacity Mazda Marvasti, CEO of Amberd, says waiting for GPU capacity did not align with his company’s pace. Amberd required guaranteed availability to support…

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private LLM
QumulusAI Secures Priority GPU Infrastructure Amid AWS Capacity Constraints on Private LLM Development
February 18, 2026

Developing a private large language model(LLM) on AWS can expose infrastructure constraints, particularly around GPU access. For smaller companies, securing consistent access to high-performance computing often proves difficult when competing with larger cloud customers. Mazda Marvasti, CEO of Amberd AI,  encountered these challenges while scaling his company’s AI platform. Because Amberd operates its own…

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custom AI chips
Custom AI Chips Signal Segmentation for AI Teams, While NVIDIA Sets the Performance Ceiling for Cutting-Edge AI
February 18, 2026

Microsoft’s introduction of the Maia 200 adds to a growing list of hyperscaler-developed processors, alongside offerings from AWS and Google. These custom AI chips are largely designed to improve inference efficiency and optimize internal cost structures, though some platforms also support large-scale training. Google’s offering is currently the most mature, with a longer production…

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GPUs
OpenAI–Cerebras Deal Signals Selective Inference Optimization, Not Replacement of GPUs
February 18, 2026

OpenAI’s partnership with Cerebras has raised questions about the future of GPUs in inference workloads. Cerebras uses a wafer-scale architecture that places an entire cluster onto a single silicon chip. This design reduces communication overhead and is built to improve latency and throughput for large-scale inference. Mark Jackson, Senior Product Manager at QumulusAI, says…

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