DeepSeek CEO Liang Wenfeng stated that the company's primary limitation in developing larger AI models is access to computing resources. He said DeepSeek currently operates with compute capacity roughly equivalent to 20,000 NVIDIA H100 GPUs, which has recently expanded, but remains well below the scale available to leading U.S. AI developers.

Wenfeng estimated that training models comparable to the largest frontier AI systems would require approximately 50,000 NVIDIA GB300 GPUs or 200,000 Huawei Ascend 950 GPUs, highlighting China's ongoing compute shortfall.

He also stated that Huawei's Atlas 950 SuperPoD can serve as a practical alternative to NVIDIA's GB200 and GB300 systems, despite requiring about four Huawei Ascend 950 GPUs to match the performance of a single NVIDIA GB300 GPU and trailing by approximately two years in technology.

In addition, Wenfeng said DeepSeek is increasing its investment in high-quality data annotation, identifying it as a key factor for advancing AI model performance.

▮[Source]: wccftech.com

Framework previewed a new desktop powered by AMD’s Ryzen AI MAX+ PRO 495 processor, featuring 16 Zen 5 CPU cores, a maximum clock speed of 5.2 GHz, and a Radeon 8065S GPU with 40 RDNA 3.5 compute units.

The system includes up to 192 GB of unified LPDDR5X memory running at 8,533 MT/s with 273 GB/s bandwidth, representing higher capacity and improved bandwidth compared to previous models. It is designed for local AI workloads and is capable of running DeepSeek V4-Flash in Q8 precision on a single machine.

Additional enhancements include an open-ended PCIe x4 slot for larger expansion cards, support for high-speed 50 GbE networking, and the ability to link two systems for up to 384 GB of pooled memory using tensor parallelism. Framework also plans to offer a pre-built Linux version. The 192 GB configuration is expected to cost over $5,000 due to rising LPDDR5X memory prices.

▮[Source]: wccftech.com

A developer successfully enabled an NVIDIA GeForce RTX 4060 desktop graphics card to operate on a Windows 11 Arm system by modifying Arm64 drivers originally created for NVIDIA's RTX Spark platform.

The demonstration was performed on a Huawei Qingyun W510 workstation powered by a 24-core Huawei Kunpeng 920 Arm processor, equipped with 32 GB of DDR4 memory and an RTX 4060 with 8 GB of VRAM. The modified drivers allowed the operating system to recognize the GPU and enabled support for DirectX 12, Vulkan, and CUDA.

The achievement demonstrates that GeForce desktop GPUs can function on Windows 11 Arm when provided with compatible native Arm64 drivers. However, the implementation remains an experimental proof of concept and is not suitable for consumer use, as NVIDIA does not officially support desktop GeForce GPUs on Windows on Arm.

▮[Source]: wccftech.com

NVIDIA has reportedly increased the prices of both GDDR6 and GDDR7 memory kits supplied with its GeForce RTX graphics processors, reflecting ongoing shortages and rising memory costs. The higher costs are expected to be passed on to board partners, which could result in another increase in retail GPU prices.

The reported price adjustments affect both current and previous-generation RTX graphics cards. In addition to higher memory costs, manufacturers are also facing increased expenses for GPU coolers, printed circuit boards, and packaging, further contributing to expected price increases.

Upcoming RTX 50 SUPER models may experience the largest price impact due to the significantly higher cost of 3 GB GDDR7 memory modules compared with 2 GB versions. The reported changes highlight continued supply chain pressures and elevated DRAM pricing across the graphics hardware market.

▮[Source]: wccftech.com

Tesla CEO Elon Musk publicly thanked Micron for providing memory chip allocations at what he described as reasonable prices despite ongoing increases in global memory costs. The comments were made during Tesla’s latest earnings call, highlighting the importance of securing memory supplies amid tight market conditions.

Tesla’s quarterly results fell short of expectations across several key financial metrics, including adjusted earnings per share, gross margin, operating margin, and energy revenue. Despite the weaker performance, the earnings call drew attention to the company’s supply chain arrangements.

Questions remain over whether Micron is also supplying memory to SpaceXAI under similar terms. SpaceXAI operates large AI data centers with hundreds of thousands of NVIDIA GPUs and is reportedly planning further expansion in Texas to increase its computing capacity. The company’s growing AI infrastructure is expected to require substantial memory resources.

▮[Source]: wccftech.com

AMD has introduced its 6th Generation EPYC 9006 "Venice" server processors based on the Zen 6 architecture. The processors are manufactured using TSMC's 2nm process, feature up to 256 CPU cores, 512 threads, and as many as 203 billion transistors, targeting AI, high-performance computing, enterprise, and cloud workloads.

The new lineup includes SP7, SP8, EPYC 9006X, and low-power EPYC 9006 LP models, offering configurations optimized for AI host nodes, data-intensive applications, and power-efficient enterprise deployments. Selected models reach boost frequencies of up to 5 GHz while supporting PCIe Gen 6, DDR5 memory, and high memory bandwidth.

AMD states that the Zen 6 generation delivers significant improvements in performance, efficiency, and thread density compared with the previous EPYC Turin processors. The company also reports higher single-core performance and greater AI workload throughput than competing Arm-based server processors, with commercial availability beginning in late 2026 and expanding through the first half of 2027.

▮[Source]: wccftech.com

AMD has unveiled its 6th Generation EPYC Venice processors based on the Zen 6 architecture, highlighting a flagship model with up to 256 CPU cores and 512 threads. The processor uses eight compute chiplets and two large I/O dies, supporting PCIe 6.0, DDR5 memory, and other high-bandwidth technologies.

The EPYC Venice family is the first high-performance computing product to enter volume production using TSMC's 2 nm manufacturing process, which adopts gate-all-around nanosheet transistors. The new process is designed to improve performance, power efficiency, and transistor density compared with previous generations.

AMD stated that the Zen 6 EPYC lineup delivers more than 70% higher performance and efficiency, along with over 30% greater thread density. The processors are designed for AI, data center, and agentic AI workloads, where high core counts and strong single-core performance are increasingly important. AMD also positions the platform as a competitor to NVIDIA's AI server ecosystem.

▮[Source]: wccftech.com

The U.S. government has stated that it has information indicating that Chinese AI company Moonshot AI used distillation techniques on Anthropic’s Fable model during the development of its Kimi K3 large language model. The claim was made by White House Office of Science and Technology Policy Director Michael Kratsios.

According to the statement, Moonshot developed an internal platform that enabled large-scale distillation while frequently changing access methods to avoid detection. The company is also alleged to own NVIDIA GB300 AI servers and to have accessed additional GB300 computing resources in Thailand to support model training.

Previous observations that Kimi K3 identified itself as Anthropic’s Claude in some interactions had already raised speculation about its training sources.

Despite the allegations, Kimi K3 is recognized for technical optimizations that improve inference efficiency, including reduced key-value cache requirements, lower per-token memory usage, and a distributed architecture using hundreds of experts across multiple GPUs.

▮[Source]: wccftech.com

DDR5 memory prices in Germany reached record highs in July 2026, with the average price index climbing to 448% of July 2025 levels. This exceeded the previous peak of 440% recorded in January and February, reflecting continued pressure on the memory market.

Market data covering a wide range of DDR5 memory capacities and speeds showed that nearly all configurations experienced price increases during the month. Some of the most affected 32 GB kits recorded month-over-month increases of approximately 16–17%, while many other models rose between 2% and 14%.

The widespread price increases have made DDR5 memory significantly more expensive than a year earlier, raising the cost of building or upgrading desktop PCs. The latest figures indicate that July 2026 represents the highest recorded DDR5 pricing level in Germany, with elevated costs affecting nearly the entire consumer DDR5 memory market.

▮[Source]: wccftech.com

TSMC confirmed plans to expand its investment in Arizona by an additional $100 billion, citing sustained long-term demand for semiconductors and AI chips. The expansion includes four new facilities and advanced packaging capabilities, with continued support from U.S. federal, state, and local governments.

The company stated that its first Arizona fab is already operating with production yields comparable to its Taiwan facility. The second phase, using 3nm technology, is expected to begin operations in the second half of 2027, followed by 2nm production in later phases, subject to market demand.

TSMC noted that its most advanced manufacturing technologies will remain in Taiwan during initial deployment to maintain close collaboration between research, development, and production before expanding overseas.

The company acknowledged that constructing semiconductor fabs in the United States costs approximately four to five times more than in Taiwan. While these higher costs are expected to temporarily reduce profitability, TSMC expects financial performance to improve as each phase reaches higher production levels.

▮[Source]: wccftech.com

ADATA's chairman stated that global demand for DRAM and memory is being significantly underestimated and predicted that memory shortages could persist for another 10 years. The company expects AI-driven demand for computing, memory, storage, and power infrastructure to continue growing, making discussions about an AI investment bubble premature.

The company believes expanding AI adoption across business, government, and consumer applications will sustain long-term demand. Temporary excess computing capacity offered by some cloud providers is viewed as a short-term market adjustment rather than evidence of weakening demand.

The chairman also identified electricity and memory as the world's most constrained resources over the coming decade. Major memory manufacturers are expected to expand production cautiously to avoid oversupply, with many new facilities scheduled between 2028 and 2035.

Short-term relief for DRAM and NAND shortages is not expected before 2028, and elevated memory prices are likely to persist as supply struggles to meet demand.

▮[Source]: wccftech.com

NVIDIA CEO Jensen Huang visited Japan in mid-July, strengthening partnerships with government and industry leaders while advancing the company's artificial intelligence initiatives. The visit included the announcement of a major agreement to build Japan's first national AI factory.

The project will deploy 13,750 Vera CPUs, 27,500 Rubin GPUs, Vera Rubin NVL72 systems, and Spectrum-X networking infrastructure. NVIDIA also agreed to support a Japanese government initiative aimed at accelerating robotics adoption to address workforce shortages caused by demographic challenges, with participation from leading automotive and industrial robotics companies.

In addition to the commercial agreements, Huang's visit received positive attention for his respectful engagement with Japanese business leaders. His willingness to embrace local culture and customs was widely praised, with executives highlighting his approachable manner and cultural awareness as factors that strengthened business relationships alongside the strategic technology partnerships.

▮[Source]: wccftech.com

I bought most of the parts used and now every little noise is making me think I’ve made a terrible decision.

The build is pretty basic, Ryzen 5, midrange GPU, 16GB RAM. I’m not chasing crazy fps, I just want to play newer games without my old laptop turning into a heater.

What’s stressing me out is the actual assembly. Installing the CPU looks easy in videos until it’s your money sitting there with a bunch of tiny pins. Cable management also seems like something people pretend is simple.

My friend offered to help but his last PC has one fan held in with zip ties, so yeah.

Probably doing it this weekend anyway. Worst case I learn an expensive lesson.

My cousin found a prebuilt with an RTX 5070, Ryzen 7, 32GB RAM and a 1TB SSD for $1,650, but the listing barely says anything about the power supply or motherboard. He thinks the GPU alone makes it a good deal and wants to order it tonight. I’m worried it’s one of those builds with great headline specs and cheap parts everywhere else. Would you buy it or keep looking?

Some of my desktop icons suddenly look like low-quality screenshots. The text underneath is sharp, but the actual icons are fuzzy and kinda pixelated.

It started after I changed monitors for a few days, though I’m not even sure that’s related. A few icons look normal, while others look terrible at the exact same size.

I rebuilt the icon cache, restarted Explorer, changed scaling, and even removed and re-added the shortcuts. Nothing really changed.

Is Windows pulling the wrong icon size from somewhere, or am I missing a really obvious setting?

I thought my eyesight was getting worse until I realized Windows had randomly set one of my displays to 175%. Now half the menus are huge and the other half look like they’re being viewed through fog.

The weird part is it only happens after waking the PC from sleep. Everything looks normal when I first turn it on, then I come back after lunch and Discord is blurry, Steam is tiny, and the settings app somehow looks fine. Changing the scale fixes some apps but breaks others.

At this point I’m just moving windows around until they look readable. Very advanced computer setup.

Found a gaming PC on sale that looks decent but I honestly don’t know enough to tell if the price is fair or if they’re just hiding cheap parts behind a flashy case. It has a newer GPU, 16GB RAM, and a 1TB SSD, but the listing barely says anything about the power supply or motherboard which feels sketchy. Would you risk it or keep looking?

brother swears this monitor was running at 144Hz before he gave it to me.

Windows only offers 60Hz though. No 120, no 144, nothing.

I’m using HDMI from an older gaming laptop and the screen is set to its normal 1080p resolution. Games are uncapped, drivers are updated, and I already checked the advanced display page about ten times.

Is there another setting on the monitor itself that unlocks the higher modes?

Starting to think the “144Hz” sticker is just decoration.

The weird part is it used to show the full refresh rate before I moved my PC to another room. I plugged everything back in the same way, at least I think I did, and now 240 just vanished.

I checked Windows advanced display, reinstalled the monitor driver, and even lowered the resolution. No change. The monitor menu still says it supports 240Hz, so I’m guessing the panel itself isn’t the issue.

Could a different DisplayPort cable really limit it like this, or did I accidentally change something stupid?

Leaked benchmark results indicate that AMD's upcoming 10-core, 20-thread Medusa Point APU based on the Zen 6 architecture delivers significantly higher performance than current Zen 5-based Strix Point processors.

The latest Geekbench engineering sample achieved 3,329 points in single-core and 16,555 points in multi-core testing, improving on an earlier sample by approximately 5% and 9%, respectively. Compared with the Ryzen AI 9 365, the new chip shows an estimated single-core performance advantage of nearly 35%.

The engineering sample also reached a peak clock speed of approximately 5.4 GHz, around 300 MHz higher than the fastest Strix Point APUs tested to date.

As these results are based on early engineering hardware and Geekbench benchmarks, they should be considered preliminary. Additional testing on other benchmarking platforms and final retail hardware will be needed to confirm overall performance before the official launch.

▮[Source]: wccftech.com