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Deep Learning Solutions

GPU Server for Deep Learning

Dedicated GPU servers optimized for deep learning training. From single-GPU development to multi-GPU enterprise clusters.

ML Optimized
Pre-configured for AI
Up to 8 GPUs
Massive compute power
NVLink
High-speed interconnect
Dedicated
No shared resources
GPU Server Configurations for Deep Learning
Choose the right server tier for your workload
TierGPUCPURAMStoragePriceUse Case
Development1x RTX 4090AMD EPYC 16 cores64GB DDR51TB NVMe$0.39/hrModel development, experimentation
Training4x RTX 4090AMD EPYC 32 cores256GB DDR54TB NVMe$1.56/hrMedium model training
Professional4x A100 40GBAMD EPYC 64 cores512GB DDR58TB NVMe$2.52/hrLarge model training, NVLink
Enterprise8x A100 80GBAMD EPYC 128 cores1TB DDR516TB NVMe$11.12/hrLLM training, research
Deep Learning Optimizations
Features specifically designed for AI/ML workloads
Pre-installed Frameworks
PyTorch, TensorFlow, JAX ready to use
→ Start training immediately
CUDA & cuDNN
Latest GPU drivers and libraries
→ Maximum GPU utilization
NVLink Support
High-speed GPU interconnect
→ Efficient multi-GPU training
Fast Storage
NVMe SSDs for data loading
→ No I/O bottlenecks
High Memory
Up to 1TB system RAM
→ Large dataset handling
Dedicated Resources
No resource sharing
→ Consistent performance
Server Recommendations by Use Case
Match your workload to the right server configuration
Use CaseMinimum ServerRecommendedNotes
LLM Fine-tuningTraining (4x RTX 4090)Professional (4x A100)A100 for larger models, RTX for 7B-13B
LLM Pre-trainingEnterprise (8x A100)H100 ClusterRequires massive compute and memory
Computer VisionDevelopment (1x RTX 4090)Training (4x RTX 4090)Scale GPUs for larger datasets
Diffusion ModelsDevelopment (1x RTX 4090)Training (4x RTX 4090)High VRAM helpful for high-res
ResearchTraining (4x RTX 4090)Professional (4x A100)Flexibility for various experiments
Frequently Asked Questions

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