NVIDIA GeForce RTX 3090 Hosting
UK Based Servers with a Dedicated GPU
The NVIDIA GeForce RTX 3090 is a beast of a GPU built for AI, deep learning, 3D rendering, and ultra-high-resolution gaming. With 24GB of ultra-fast GDDR6X memory and 10,496 CUDA cores, this GPU dominates the high-performance computing space. Whether you need machine learning acceleration or seamless 8K gaming, the RTX 3090 delivers unmatched power.
Powerful GPU hosting for AI, rendering, and high-performance computing. Get started instantly!
GPU | Architecture | Total GPU Memory | Clock Speed | Monthly Fee | ||
---|---|---|---|---|---|---|
![]() |
RTX 3090 | Ampere | 24GB GDDR6X | 1695 MHz | ||
![]() ![]() |
2 x RTX 3090 | Ampere | 48GB GDDR6X | 1695 MHz |
Key Benefits
- AI & Deep Learning Acceleration – Train models faster.
- Blazing-Fast 3D Rendering – Save hours on complex renders.
- Smooth 4K & 8K Gaming – Max settings with RTX ON.
- Unrivaled High-Performance Computing – Power through intensive workloads.
RTX 3090 Technical Specifications from techpowerup
Graphics Processor | |||
---|---|---|---|
GPU Name | GA102 | GPU Variant | GA102-300-A1 |
Architecture | Ampere | Foundry | Samsung |
Process Size | 8 nm | Transistors | 28,300 million |
Density | 45.1M / mm² | Die Size | 628 mm² |
Chip Package | BGA-3328 | Bus Interface | PCIe 4.0 x16 |
Render Config | |||
---|---|---|---|
Shading Units | 10496 | TMUs | 328 |
ROPs | 112 | SM Count | 82 |
Tensor Cores | 328 | RT Cores | 82 |
L1 Cache | 128 KB (per SM) | L2 Cache | 6 MB |
Theoretical Performance | |||
---|---|---|---|
Pixel Rate | 189.8 GPixel/s | Texture Rate | 556.0 GTexel/s |
FP16 (half) | 35.58 TFLOPS (1:1) | FP32 (float) | 35.58 TFLOPS |
FP64 (double) | 556.0 GFLOPS (1:64) |
Clock Speeds + Memory | |||
---|---|---|---|
Base Clock | 1395 MHz | Boost Clock | 1695 MHz |
Memory Clock | 1219 MHz 19.5 Gbps effective | ||
Memory Size | 24 GB | Memory Type | GDDR6X |
Memory Bus | 384 bit | Bandwidth | 936.2 GB/s |
Graphics Features | |||
---|---|---|---|
DirectX | 12 Ultimate (12_2) | OpenGL | 4.6 |
OpenCL | 3.0 | Vulkan | 1.3 |
CUDA | 8.6 | Shader Model | 6.8 |
Ray Tracing Cores | 2nd Gen | Tensor Cores | 3rd Gen |
NVENC | 7th Gen | NVDEC | 5th Gen |
PureVideo HD | VP11 | VDPAU | Feature Set K |
FAQ.
The RTX 3090 features more CUDA cores, larger memory (24GB vs. 10GB), and superior ray tracing performance, making it better suited for AI, 3D rendering, and 8K gaming.
Yes, NVLink (SLI) support allows multiple GPUs to work together for extreme workloads.
Yes! The RTX 3090 can handle 8K gaming, but performance varies by game. It excels in 4K ultra gaming with ray tracing enabled.
Yes! NVIDIA DLSS (Deep Learning Super Sampling) uses AI to enhance resolution and performance in supported games.
If you only play games in 1080p or 1440p, the RTX 3090 might be excessive. However, for 4K+ gaming, it’s a top choice.
Absolutely! With 328 Tensor Cores and 24GB GDDR6X, it significantly speeds up deep learning, AI training, and inference tasks.
The RTX 3090 is a consumer GPU, but its performance is very close to the A6000, making it an affordable choice for AI and rendering.
Yes! Many 3D rendering software packages support multi-GPU acceleration, and NVLink allows for shared memory across GPUs.
Yes! The RTX 3090 utilizes PCIe 4.0 x16, which doubles the bandwidth of PCIe 3.0 for faster data transfer.