NVIDIA RTX 3050 Hosting
UK Based Servers with a Dedicated GPU
Looking for an affordable yet powerful GPU hosting solution? The NVIDIA RTX 3050 delivers excellent performance at a budget-friendly price. Powered by Ampere architecture, the RTX 3050 offers ray tracing, AI-enhanced graphics, and fast GDDR6 memory, making it a great choice for AI workloads, game hosting, and video rendering.
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Key Benefits
- Cost-Effective Hosting – A budget-friendly GPU that provides high-end features without breaking the bank.
- Perfect for eSports & AAA Games – Play popular titles like Fortnite, Call of Duty, and Cyberpunk 2077 with high frame rates and detailed visuals.
- Scalable GPU Solutions – Deploy multiple GPUs based on your workload needs.
- NVIDIA Ampere Architecture – Powered by Ampere CUDA cores, delivering excellent performance per watt.
RTX 3050 Hosting Technical Specifications from techpowerup
| Graphics Processor | |||
|---|---|---|---|
| GPU Name | GA107 | GPU Variant | GA107-325-K2-A1 |
| Architecture | Ampere | Foundry | Samsung |
| Process Size | 8 nm | Transistors | 8,700 million |
| Density | 43.5M / mm² | Die Size | 200 mm² |
| Chip Package | FCBGA-1358 | Bus Interface | PCIe 4.0 x8 |
| Render Config | |||
|---|---|---|---|
| Shading Units | 2304 | TMUs | 72 |
| ROPs | 32 | SM Count | 18 |
| Tensor Cores | 72 | RT Cores | 18 |
| L1 Cache | 128 KB (per SM) | L2 Cache | 2 MB |
| Theoretical Performance | |||
|---|---|---|---|
| Pixel Rate | 47.04 GPixel/s | Texture Rate | 105.8 GTexel/s |
| FP16 (half) | 6.774 TFLOPS (1:1) | FP32 (float) | 6.774 TFLOPS |
| FP64 (double) | 105.8 GFLOPS (1:64) | ||
| Clock Speeds + Memory | |||
|---|---|---|---|
| Base Clock | 1042 MHz | Boost Clock | 1470 MHz |
| Memory Clock | 1750 MHz 14 Gbps effective | ||
| Memory Size | 6 GB | Memory Type | GDDR6 |
| Memory Bus | 96 bit | Bandwidth | 168.0 GB/s |
| Graphics Features | |||
|---|---|---|---|
| DirectX | 12 Ultimate (12_2) | OpenGL | 4.6 |
| OpenCL | 3.0 | Vulkan | 1.3 |
| CUDA | 8.9 | 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 3050 is ideal for AI inferencing, deep learning, game hosting, video rendering, and general GPU computing.
The RTX 3050 provides great value for its price, offering ray tracing and AI-enhanced performance, though it has lower raw power than high-end models like the RTX 4090.
Yes! You can start with a single RTX 3050 and add more GPUs as your workload grows.
Simply sign up or contact our team to customize a hosting plan.
We support Linux distributions, Windows Server, and custom OS configurations.
Yes! Our RTX 3050 hosting is compatible with TensorFlow, PyTorch, CUDA, and other popular AI/ML frameworks.
Yes, we offer multi-GPU configurations for users needing increased computational power.
Absolutely! The RTX 3050’s ray tracing and AI-enhanced rendering capabilities make it a great choice for 3D modeling and rendering tasks.
Our RTX 3050 hosting offers lower latency, predictable pricing, and dedicated resources, making it a better option for many applications.
Yes, you have full administrative control to install and configure software as needed.
Yes! The RTX 3050 is well-suited for hosting gaming servers, providing powerful graphics and performance.
Our servers come with SSD and NVMe storage options to ensure fast read/write speeds for your workloads.
No, we do not charge any setup fees. You only pay for the hosting plan you choose.
Yes, we allow plan upgrades at any time to accommodate growing workload demands.
While we provide infrastructure support, we also offer guidance on AI model deployment upon request.
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