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DeepSeek V4.1 Flash Beats OpenAI’s GPT-5.6 Sol And Anthropic’s Opus 5 On Coding And Cybersecurity At An ~86x Lower Cost, While Reducing HBM Requirements By 3.8x And SSD Ones By 8x

10 September 2026 at 16:50

A digital illustration showcases the 'DeepSeek V4.1 Flash' large language model, highlighting features like 'Ultra-Fast & Advanced,' 'Lightning Speed,' 'High Efficiency,' and 'Versatile Applications' with a neural network theme and dynamic graphics.

DeepSeek's engineers are a marvel, excelling in extracting every ounce of efficiency from the architectural constraints that characterize contemporary LLMs, as they appear to have done with the just-released V4.1 Flash, which is phenomenally competitive with the likes of OpenAI's GPT-5.6 Sol and Anthropic's Claude Opus 5 on coding and cybersecurity, while entailing just a fraction of their costs! The novel architecture of DeepSeek's V4.1 Flash model DeepSeek's V4.1 Flash model sports a fairly novel architecture. Given the inherent complexity, we'll try to explain the model's main architectural elements using easy-to-understand analogies. The V4.1 Flash is a multimodal Mixture of […]

Read full article at https://wccftech.com/deepseek-v4-1-flash-beats-openais-gpt-5-6-sol-and-anthropics-opus-5-on-coding-and-cybersecurity-at-an-86x-lower-cost-while-reducing-hbm-requirements-by-3-8x-and-ssd-ones-by-8x/

SanDisk Takes β€˜Finance Bros’ For A Ride: Cherry-Picks BF16 Quantization And Outdated HBM Specs, While Completely Glossing Over HBF’s Write Endurance Issues

14 August 2026 at 16:42

A diagram of a GPU structure labeled 'GPU With HBF,' showing sections HBF 1 to HBF 8.

SanDisk held an Investor Day presentation earlier this week. Ordinarily, that would be considered par for the course. However, then some of the presentation slides - laden with supposed inaccuracies and key omissions - started doing the rounds on the social media, leading to a backlash from the tech-savvy community. SanDisk fixes HBM capacity per GPU at 192GB, replete with a chronically understated bandwidth of 12.8 TB/s, and omits any pointers on HBF's write endurance An AI model basically consists of a series of transformer blocks that are made up of two key elements: Currently, both the model weights and […]

Read full article at https://wccftech.com/sandisk-takes-finance-bros-for-a-ride-cherry-picks-bf16-quantization-and-outdated-hbm-specs-while-completely-glossing-over-hbfs-write-endurance-issues/

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