Speculation Surrounds High-Capacity VRAM for Next-Generation GPUs

Reports from a U.S.-based GPU repair technician have surfaced regarding potential video memory (VRAM) configurations for the upcoming NVIDIA RTX 5090 series. According to unverified claims circulating on Reddit, the hardware may feature capacities of either 64GB or 96GB of VRAM.

While these figures lack independent confirmation from NVIDIA, industry observers suggest that such high-capacity configurations would position the consumer-grade hardware as a viable alternative for AI inference tasks, potentially offering a lower-cost entry point compared to professional-grade enterprise cards like the NVIDIA 6000 series.

Technical discussions regarding the RTX 50 series also touched upon software-level memory segmentation. While previous generations, including the RTX 20, 30, and 40 series, allowed for certain memory unlocking, current indications suggest that software locks on the RTX 50 series may remain in place for the time being.

Prototype AMD Multi-GPU Board Discovered

In a separate development involving ADVANCED MICRO DEVICES hardware, a prototype graphics card featuring four integrated AMD Radeon RX 470 GPUs has been identified. The device, described by Videocardz as a massive PCIe-based board, represents a unique approach to multi-GPU architecture.

Technical analysis of the RX 470 architecture indicates that its memory bandwidth is comparable to that of an Apple M1 Pro chip. While the hardware is capable of running dense models that fit within its 8GB memory limit, performance benchmarks—specifically Vulkan prefill numbers—suggest that the processing speed is relatively low, with some observers comparing the prefill performance to that of a CPU.

Despite these performance limitations, some users have noted that older Polaris-based cards can still execute Stable Diffusion 1.5 at functional speeds when utilizing patched versions of ROCm. The discovery of such a large-scale prototype highlights ongoing experimentation in hardware design, even as the industry moves toward more integrated, unified memory systems.