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Benchmarks

Benchmarks

Real performance data, not marketing claims. Our benchmarks test every GPU we offer across LLM inference, image generation, OCR, and TTS workloads on dedicated GPU servers. See our tokens/sec benchmark for the latest results.

Benchmarks Apr 2026

GPU Utilization Below 50%: Diagnosis & Fix

Diagnose and fix GPU utilization below 50% on AI inference servers. Covers identifying bottlenecks, data pipeline stalls, batch size issues,…

Benchmarks Apr 2026

CPU Bottleneck in AI: Detect & Fix

Detect and fix CPU bottlenecks in AI inference. Covers tokenization overhead, preprocessing stalls, CPU profiling, kernel optimization, NUMA binding, and…

Benchmarks Apr 2026

Batch Size Tuning for Max Throughput

Tune batch sizes for maximum GPU throughput in AI inference and training. Covers the latency-throughput tradeoff, continuous batching, VRAM limits,…

Benchmarks Apr 2026

Disk I/O Bottleneck: When Storage Slows GPU

Diagnose and fix disk I/O bottlenecks on GPU servers. Covers model loading delays, NVMe optimization, RAM caching, mmap loading, training…

Benchmarks Apr 2026

Network Latency in AI Serving: Fix

Diagnose and fix network latency in AI serving pipelines. Covers TCP tuning, connection pooling, HTTP/2, gRPC, geographic placement, streaming optimization,…

Benchmarks Apr 2026

Mixed Precision Training Guide

Implement mixed precision training for faster AI model training on GPU servers. Covers AMP, loss scaling, BF16 vs FP16, common…

Benchmarks Apr 2026

GPU Profiling with nvidia-smi & Nsight

Profile GPU workloads with nvidia-smi and Nsight tools. Covers utilization monitoring, kernel-level profiling, memory analysis, bottleneck identification, and actionable optimization…

Benchmarks Apr 2026

CUDA Graph Optimization for Inference

Use CUDA Graphs to accelerate AI inference by eliminating kernel launch overhead. Covers graph capture, replay, vLLM integration, limitations, benchmarking,…

Benchmarks Apr 2026

Memory-Mapped Model Loading

Use memory-mapped file loading to accelerate AI model startup. Covers mmap mechanics, safetensors mmap, reducing load times, lazy loading, shared…

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