GeForce RTX 3050
LHR: Low Hash Rate as an Anti-Mining Measure
In response to the boom in cryptocurrencies and their impact on availability for gamers, NVIDIA has throttled its gaming graphics cards to limit cryptocurrency mining. The performance in normal operation, especially in gaming, is not affected. An up-to-date version of the NVIDIA driver is required for operation.Corresponding graphics card models that have been retrofitted with a mining lock are marked with an addition to the name, such as "V2" or "LHR", depending on the series and model. Some graphics card series have been equipped with a mining lock since their introduction and therefore do not have the name suffix.
NVIDIA's GeForce RTX 3050, with 8 GB of VRAM, is designed to provide you with a smooth gaming experience in Full HD resolution, including ray tracing effects. The GA106-150 graphics processor offers 2,560 FP32 shaders and a memory interface of 128 bits, placing it significantly above the predecessor models NVIDIA GeForce GTX 1650 and GTX 1050 in the performance spectrum.
The NVIDIA GeForce RTX 3050 was introduced at a digital press conference during the CES show in early 2022. With this pixel accelerator, NVIDIA releases the first graphics card in the XX50 product series, bringing all the features of the Ampere architecture, such as hardware-accelerated ray tracing and NVIDIA's gaming technologies, to the entry-level segment. NVIDIA's GeForce RTX 3050 is based on the GA106-150 graphics chip, which is manufactured using the already known 8-nm manufacturing process of the Ampere architecture.
In addition to the revised SMs (Streaming Multiprocessors) with double FP32 throughput, the Ampere architecture includes 2nd generation ray tracing cores and 3rd generation tensor cores, each with up to double the data throughput. In addition to these architectural optimizations, numerous other features such as AI-accelerated DLSS, NVIDIA Reflex, NVIDIA Broadcast, and NVIDIA Omniverse Machinima are employed.
Performance Data of the NVIDIA GeForce RTX 3050 Graphics Card (Reference Model):
- Compute Performance (FP32): approx. 9.64 TFLOPS
- CUDA Cores (Shaders): 2,560
- RT Cores: 20
- Tensor Cores: 80
- GPU Base Clock: 1,552 MHz
- GPU Boost Clock: 1,777 MHz
- Graphics Memory: 8 GB GDDR6
- Memory Clock: 1,750 MHz (effective 14,000 Mbps)
- Memory Interface: 128 Bit
- Memory Bandwidth: 224 GB/s
- TDP: 130 Watts
- Power Connector: 1x 8-Pin PCIe
- Video Outputs: 2x DP 1.4a, HDMI 2.1
GeForce RTX 3050: The Ampere GPU Architecture
The Ampere GPU architecture offers several optimizations over Turing. The number of CUDA cores per SM (Streaming Multiprocessors) has roughly doubled. An Ampere SM can perform either 128 FP32 calculations or 64 FP32 and 64 INT32 calculations depending on the workload. With Turing, it was 64 FP32 and 64 INT32 calculations. Each SM thus consists of four blocks with 16 FP32 ALUs and FP32/INT32 ALUs each. Like Turing, each SM has a ray tracing calculation core.With 20 SMs, the RTX 3050 thus has 2,560 CUDA cores (1,280 FP32 and FP32/INT32 ALUs each) and 20 ray tracing cores. The 20 SMs on the RTX 3050 are divided into 3 GPCs (Graphics Processing Clusters), and each SM has 4 tensor cores - half as many as with Turing. However, the tensor cores on Ampere GPUs are significantly more powerful than on Turing.
Ray Tracing
Ray tracing combines all these effects to represent the final color of a pixel on the monitor. Previously, ray tracing was primarily used in movies to create special effects. Render farms are often used for these scenes, and computing complex 3D animations and special effects for feature films can take several weeks. Due to the complexity of ray tracing, PC applications such as computer games have typically been filled with 3D objects based on a raster model. Rasterization involves modeling 3D objects from a network of triangles or polygons. In the rendering pipeline, these triangles of the 3D model are individually converted into pixels on a 2D surface. The pixels can then be further processed ("shaded").
Tensor & DLSS
These matrix-based computational cores are equipped with special data paths for optimized floating-point calculation throughput and also offer increased energy efficiency. The "training" and "inference" aspects of deep learning benefit particularly from the tensor cores. Training, which involves learning new skills based on existing data, is expected to occur with up to twelve times higher TFLOP performance using tensor cores compared to Pascal, the predecessor of the Volta GPU architecture. Inference in deep learning is the application of the skills learned during training and is expected to occur with up to six times higher peak TFLOP performance with Volta compared to Pascal.
The Current NVIDIA GeForce RTX 30 Graphics Cards Overview:
Do you want to know which NVIDIA graphics card is right for you? The following list includes all current models of the Ampere generation, sorted by performance starting with the most powerful graphics card.