Build and scale AI workloads on GPU-accelerated bare metal. From LLM training and fine-tuning to low-latency inference, vector databases and computer vision, EqServers gives you the dedicated compute, storage and bandwidth your models depend on.
Dedicated NVIDIA GPU servers optimized for Llama 3, DeepSeek, Qwen, and massive model training.
NVIDIA A30 24GB. The smartest budget choice for commercial inference. Run Llama 3 (8B), Gemma, and DeepSeek-Coder with enterprise-grade stability.
Includes 300TB Bandwidth in Netherlands. Don't overpay for A100s when A30 handles your chatbots perfectly.*
NVIDIA H100 + 1TB RAM. Never run out of memory. Load massive models like DeepSeek V2, Qwen 72B, and Mixtral 8x22B entirely into RAM for blazing fast tokens.
Located in Canada. Eliminate CPU offloading bottlenecks and run high-precision quantization layers with ease.*
NVIDIA H100 + Zen 4. Cut your training time in half. The PCIe Gen5 synergy boosts data throughput for Flux.1, Sora, and Stable Diffusion 3 workflows.
512GB DDR5 RAM. The fastest single-node architecture available for heavy PyTorch & TensorFlow jobs.*
*Limited stock available. Performance varies based on model parameter count (7B/70B/MoE) and precision (FP8/FP16).
Turn raw data into production AI. EqServers provides three dedicated layers for AI and ML workloads: data ingest and storage, GPU training, and low-latency inference for your applications and products.
Training and serving AI models generates serious traffic. Our network is designed to move datasets, checkpoints and inference calls without becoming the bottleneck.
You focus on models and products; we help with the platform. Our team supports AI researchers, data scientists and DevOps engineers every day.
Protect training data, models and customer prompts with dedicated infrastructure and layered security controls.
Whether you are experimenting with a personal AI assistant, training your own LLM or running a production recommendation engine, EqServers provides dedicated GPU servers built for serious AI work. Start small, scale globally and stay in control of your infrastructure.
Typical response within one business day.
