Surely many people still remember the "scandal" of exploding Nvidia RTX 40-series graphics cards. The root cause of this mess is due to a "flaw" in the design of the new 16-pin 12VHPWR connector, which can easily melt or burn, leading to serious component damage.
Further investigation confirmed that the issue was related to improperly inserting or plugging power cables into GPU power slots, and this prompted companies to innovate designs to create ways to prevent similar types of issues from occurring.
For example, MSI has developed a bright yellow connector plug that makes it easy for users to know whether the cable is fully and properly plugged in. Meanwhile, Seasonic has created an L-shaped design to solve a similar problem. Or in the case of Asus, it has been praised for its “hidden connector” BTF design to eliminate 12VHPWR.
However, despite the improvements, concerns around overheating or power connector fires still haunt many Nvidia fans, especially considering the fact that the upcoming RTX 5090 will likely also have a TDP of 175 watts or ~27.78% higher than the RTX 4090.
At the recent GeForce Update Editor 2025 media event, during a Q&A session, Nvidia said it doesn't "expect" to see a similar situation with the RTX 5090 or 5080 graphics cards when it introduces the newer "12V-2×6 12VHPWR PCIe connector."
When you launched the RTX 40 series, you changed the auxiliary power to a new 12+4 pin specification. With this new specification, especially on the RTX 4090, there were issues with connectors melting due to overheating. Has this issue been completely resolved on the RTX 5090?
We (Nvidia) did not expect that issue to occur again with the RTX 50 series. We made some changes to the connector design to address the issue at that time, and now, two years later, we have not seen any similar issues again.
The 12V-2×6 PCIe 12VHPWR connector has shown promise in testing, performing relatively well when not fully or properly plugged in. However, users should still proceed with caution and ensure the cable is properly plugged in, snug, and not bent or too steep, loose
NVIDIA's next flagship graphics card, the GeForce RTX 5060 Ti, will come in 16GB and 8GB versions and is expected to launch in mid-April.
In January this year, Nvidia launched the latest generation of RTX 50 series graphics cards, and introduced the fourth version of Deep Learning Super Sampling (DLSS) technology to users.
Nvidia has yet to provide any official information about its plans to commercially produce its next-generation high-end RTX GPU, which is expected to be called the RTX 5070 Ti.
Cerebras Systems has just officially announced Cerebras Inference, which is considered the world's fastest AI inference solution.
If you haven’t updated your Nvidia GPU in a while, now’s a good time. The company’s latest driver update addresses a number of long-standing bugs while also delivering significant performance gains.
Even though the product has only been released for a short time, Nvidia RTX 5080 and RTX 5090 graphics card owners are complaining about a series of problems.
The concept of artificial intelligence - AI is becoming more and more popular, which means that this superior technology is gradually being effectively deployed in many fields as well as in all aspects of modern life.
In June 2024, Nvidia announced the full open source GPU code for its flagship physics simulation engine, PhysX SDK, including previously unreleased GPU simulation cores. The move is expected to spur innovation in GPU-accelerated computing.
It seems like AMD is trying to raise market expectations for the upcoming MI325X processor.
Meta is developing its first in-house AI training processor. The company has begun pilot testing a small batch of the new AI training chip and will order more if the testing phase produces positive results, Reuters reported.
At this year's CES 2025 event, AMD refrained from revealing long-awaited details about its new flagship Radeon RX 9070 XT GPU, which is built on the RDNA 4 architecture.
Nvidia has just announced the release of an open-source large language model (LLM) that is said to perform on par with leading proprietary models from OpenAI, Anthropic, Meta, and Google.
General Motors (GM) and Nvidia have expanded their partnership to deploy artificial intelligence (AI)-based technology in next-generation vehicles.
Surely many people still haven't forgotten the "explosion" scandal on the Nvidia RTX 40-series graphics card line.
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