NVIDIA’s Ada Lovelace architecture has been on the market for a few months now, and the first notebook graphics solutions based on it have recently debuted. At the moment, the green giant only sells the GeForce RTX 4080 and 4090 Mobile, which are two high-end models designed for professionals who want unite play and work in a single team.
For those who want to prioritize their professional side, the series NVIDIA RTX AX000formerly known as NVIDIA Quadro, are the ideal option, and it seems that their launch is just around the corner, since according to new information four specific models have already been identified that, except for surprise, will hit the market sometime in March. This fits perfectly with one of the company’s most important events, the GTC, which is scheduled to take place on March 20.
The models that we have been able to identify are the following: (ordered from lowest to highest power):
- NVIDIA RTX 2000: it will be based on the AD107 graphics core, will have between 4 and 8 GB of graphics memory and will have a 128-bit bus. It will be the entry range, unless the company decides to launch an RTX 1000.
- NVIDIA RTX 3000: It will use the AD106 graphics core, which means that we are dealing with a mid-range model that will have 8 GB of graphics memory and a 128-bit bus.
- NVIDIA RTX 3500: a solution that will have an AD104 GPU, and that will therefore position itself in the high range. It will have 12 GB of graphics memory and a 192-bit bus.
- NVIDIA RTX 5000: which will be the top of the range. It will come with an AD103 GPU, will have a 256-bit bus, and will have 16 GB of graphics memory.
All these graphics cards for laptops They will come with the key innovations that Ada Lovelace architecture has introduced: 3rd generation RT cores, 4th generation tensor cores, improved shaders, next generation Optical Flow Accelerator supporting DLSS 3 and frame generation, and will be built on TSMC’s 5nm node.
They will also use GDDR6 memory with error correction technology (ECC for its acronym in English), which means that they will be viable to carry out workloads and simulations in which precision is essential.
