Nvidia has unveiled the RTX Pro 5500, a high-performance workstation graphics card designed for professional environments such as 3D rendering, AI development, and scientific computing. The card features an impressive 84 GB of GDDR7 memory and 21,760 CUDA cores, which are processing units that handle parallel computing tasks. This makes it one of the most powerful workstation GPUs currently available, though it falls just below Nvidia's flagship RTX Pro 6000 model. One of the standout features of the RTX Pro 5500 is its memory configuration. Instead of the traditional single-sided design, the card uses a two-sided layout with 14 GDDR7 memory modules on the front and another 14 on the back. This allows for 28 total memory chips to be packed onto a single card. Each memory chip operates at around 27 gigabits per second per pin, contributing to a 416-bit memory interface and a total bandwidth of about 1,398 GB/s. This interface includes 13 separate 32-bit memory channels, which is an unusual setup compared to the more common even-numbered channel configurations found in most modern graphics cards. The RTX Pro 5500 is designed for use in rack-mounted workstations rather than standard desktop towers. It has a power draw of 600 watts and is available in both air-cooled and liquid-cooled versions to accommodate different cooling needs in professional environments. In terms of performance, the RTX Pro 5500 outperforms the RTX Pro 5000, which has fewer CUDA cores (14,080) and less memory (up to 72 GB). However, it is positioned just below the RTX Pro 6000, which has 24,064 CUDA cores and 96 GB of memory. The card also supports multi-instance partitioning, allowing users to configure it as either a single 84 GB block of memory or two separate 42 GB segments. This feature can be useful for environments where multiple users or tasks need access to the GPU’s resources. As of now, there is no official price or launch date for the RTX Pro 5500, but industry analysts expect it to be quite expensive. Given its high power consumption and likely cost, the primary target audience for this card is expected to be enterprise customers, such as large corporations or research institutions that require top-tier computing power.