AI GPU Dedicated Servers
Accelerate AI training, 3D rendering, and video processing with dedicated servers equipped with professional-grade NVIDIA GPUs — from entry-level RTX workstations to multi-A100 deep learning clusters.
Available GPU Server Plans
All GPU servers include NVLink support where applicable, DDoS protection, full root access, and IPMI remote management.
| Server | CPU + GPU | CPU Cores | RAM | Storage | Bandwidth | Price | |
|---|---|---|---|---|---|---|---|
| SM-GPU-A4000 GPU Entry GPU | Intel Xeon W-2255 + NVIDIA RTX A4000 10C/20T + 16 GB GDDR6 VRAM | 10C / 20T | 128 GB DDR4 ECC | 2× 2 TB NVMe SSD | 20 TB | ₹28,999 /mo | Order |
| SM-GPU-A6000 GPU Professional | AMD EPYC 7443P + NVIDIA RTX A6000 24C/48T + 48 GB GDDR6 VRAM | 24C / 48T | 256 GB DDR4 ECC | 4× 2 TB NVMe SSD | 30 TB | ₹49,899 /mo | Order |
| SM-GPU-A100x2 GPU AI Training | AMD EPYC 7543 + 2× NVIDIA A100 80GB 32C/64T + 160 GB HBM2e VRAM | 32C / 64T | 512 GB DDR4 ECC | 8× 2 TB NVMe SSD | Unmetered | ₹1,24,999 /mo | Order |
| SM-GPU-A100x4 GPU Deep Learning | 2× AMD EPYC 7763 + 4× NVIDIA A100 80GB 128C/256T + 320 GB HBM2e VRAM | 128C / 256T | 512 GB DDR4 ECC | 8× 2 TB NVMe SSD | Unmetered | ₹2,07,999 /mo | Contact |
Need a custom GPU configuration or multi-node cluster? Contact our sales team for a tailored quote.
What You Can Build on GPU Servers
From training large language models to real-time video transcoding, our GPU servers handle the most demanding accelerated workloads.
AI & Machine Learning
Train neural networks, fine-tune LLMs, and run inference at scale using CUDA-optimized frameworks like PyTorch, TensorFlow, and JAX on bare-metal NVIDIA GPUs.
3D Rendering & VFX
Accelerate offline rendering with Blender Cycles, V-Ray, or Arnold. GPU-accelerated rendering cuts render times from hours to minutes for studios and freelancers.
Video Encoding & Transcoding
Harness NVENC/NVDEC hardware encoders for real-time 4K/8K transcoding pipelines with FFmpeg, Handbrake, or custom streaming infrastructure at massive scale.
Scientific HPC Simulation
Run CUDA-accelerated molecular dynamics, fluid simulations, and computational chemistry workloads with full double-precision performance on A100 GPUs.
Cloud Gaming & Streaming
Host GPU-accelerated virtual desktops, game streaming services, and remote workstations using NVIDIA vGPU or Parsec on dedicated bare-metal hardware.
Computer Vision & Analytics
Deploy real-time object detection, image classification, and video analytics pipelines powered by NVIDIA CUDA cores and Tensor cores for maximum throughput.
Enterprise GPU Computing Platform
Professional NVIDIA GPUs
We use datacenter and professional-grade NVIDIA hardware — RTX A-series and A100 — not consumer gaming cards, ensuring driver stability and ECC memory support.
NVLink & High-Speed Interconnect
Multi-GPU configurations utilize NVLink for GPU-to-GPU bandwidth of up to 600 GB/s, enabling large model training that exceeds single-GPU memory limits.
CUDA & Driver Pre-Configuration
Choose from pre-configured Ubuntu images with CUDA Toolkit, cuDNN, and NVIDIA Container Runtime already installed and ready to use.
High-Throughput NVMe Storage
Multiple NVMe SSDs in RAID configurations ensure datasets can be streamed to GPU memory without I/O becoming the performance bottleneck.
DDoS Protection Included
All GPU servers include always-on DDoS mitigation to protect your model endpoints, API services, and streaming infrastructure from attacks.
Precision Thermal Management
Our data center cooling systems are optimized for high-TDP GPU workloads, ensuring sustained boost clocks and preventing thermal throttling under continuous load.