The Hot Take: It appears that Nvidia is playing all the ISA's against each other.
In some funding rounds, the amount alone isnāt enough to tell the whole story. The $400 million that SiFive raised on April 9, 2026, is therefore only half the story. The other half is who is involved and what the money is intended for. Reuters and SiFive itself speak of funding for the expansion of [ā¦]
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The Hot Take: Mid-range is the target and your new standard.
We already knew the NVIDIA N1 was a thing; NVIDIA CEO Jensen Huang told the world straight up that his company was working with Mediatek on SoCs for AI PCs, and he also confirmed that the N1 and the GB10 Superchip in the DGX Spark are one and the same. However, this is the first time we've really seen anything like an end-user device sporting
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The Hot Take: More GPU security issues, #FUN.
Two new Rowhammer attacks for GPUs have been discovered that can cause bit flips in VRAM to gain arbitrary read/write access over it. These attacks target page files and the page directory that are otherwise protected from electrical disturbance by the driver. By "massaging" these data structures into vulnerable regions where a bit flip can occur, the attacker can access even the CPU memory.
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The Hot Take: Interesting.
Nvidia has just demoed its Neural Texture Compression technique again at a GTC talk, where it showed VRAM usage dropping from 6.5 GB to just 970 MB in a scene. NTC uses a neural network to decompress textures instead of standard block-based compression, reducing texture size and VRAM usage while also improving final image quality.
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The Hot Take: Following intels steps on the Arc? Also, how much space are the pre-compiled shaders going to consume of diskspace?
NVIDIA has introduced a new beta feature called Auto Shader Compilation, or ASC, through the latest NVIDIA App update, and it targets a familiar pain point in modern PC gaming: long initial loading phases and shader compilation stutter in DirectX 12 titles.
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The Hot Take: Let's milk the architecture untit the pleebs scream, beg and plead for a new architecture... All while ringing out as much cash from the Ai market......
Thereās an easier way: A manufacturer could simply release the most expensive gaming graphics card in the series, and the market would eventually settle down. For NVIDIA, however, that moment seems to be a long time coming. Since early February, reports have been circulating that an even more powerful Blackwell modelāpositioned above the GeForce RTX [ā¦]
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The Hot Take: You will get mid-range only and love it.... Probably all while renting it I assume.
Nvidia wants a slice of every laptop sold, not just the ones with a chunky discrete GPU.
The firm is lining up āexclusiveā laptop system-on-chips for consumers this year, barging into a market long owned by Intel and AMD while trying to cash in on the AI PC hype.
The pitch is that Nvidia has ignored the huge integrated CPU-and-GPU segment, even though it ships bucketloads of graphics chips for gaming and workstations.
Nvidia chief executive Jensen Huang said: āThereās 150 million laptops sold per year, and Nvidiaās market largely targetsā¦
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The Hot Take: I'm glad, but will be actually be able to afford or get any in our hands? Also what games are we going to need this for, as game releases have definitely stagnated along with the market.
NVIDIA's GeForce RTX 60 Series GPUs will be powered by the Rubin architecture, which exists only for AI and data center use thus far. The Rubin CPX, for example, is built around NVIDIA's GR212 chips, but new information shared with YouTuber RedGamingTech claims the RTX 60 Series chips will be the GR202 (RTX 6090), GR203 (RTX 6080), and GR205
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The Hot Take: Uh oh, Ai king looks to be in trouble.
U.S. senators Elizabeth Warren (D-Mass.) and Jim Banks (R-Ind.) told Commerce Secretary Howard Lutnick that he should suspend all active export licenses to China for Nvidia AI chips, saying that Nvidia's most advanced AI GPUs are being diverted into the country despite Jensen Huang's assurances.
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The Hot Take: Nvidia starting to feel the heat of competition and see those $ evaporate as they try other vendors.
Nvidia is preparing to launch a new chip designed to speed up AI responses, breaking with its long-running habit of flogging the same processor for every job.
Nvidia chief executive Jensen Huang is expected to unveil a chip focused on āinferenceā, meaning running models rather than training them.
According to people familiar with the plans for GTC next week, the chip is the first new product to emerge from Decemberās $20bn deal to hire the founders of Groq, a start-up building ālanguage processing unitsā tuned for high-speed answers toā¦
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