GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Phi-3 Mini on RTX 4060: Performance Benchmark & Cost, Category: Benchmarks, Slug: phi-3-mini-on-rtx-4060-benchmark, Excerpt: Phi-3 Mini benchmarked on RTX 4060: 18 tok/s at 4-bit GGUF Q4_K_M, VRAM usage, cost per 1M tokens, and deployment configuration., Internal links: 9 –>
Phi-3 Mini benchmarked on RTX 4060: 18 tok/s at 4-bit GGUF Q4_K_M, VRAM usage, cost per 1M tokens, and deployment configuration.
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Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Phi-3 Mini on RTX 3050: Performance Benchmark & Cost, Category: Benchmarks, Slug: phi-3-mini-on-rtx-3050-benchmark, Excerpt: Phi-3 Mini benchmarked on RTX 3050: 8 tok/s at 4-bit GGUF Q4_K_M, VRAM usage, cost per 1M tokens, and deployment configuration., Internal links: 9 –>
Phi-3 Mini benchmarked on RTX 3050: 8 tok/s at 4-bit GGUF Q4_K_M, VRAM usage, cost per 1M tokens, and deployment…
Qwen 2.5 7B on RTX 5090: Performance Benchmark & Cost, Category: Benchmarks, Slug: qwen-2.5-7b-on-rtx-5090-benchmark, Excerpt: Qwen 2.5 7B benchmarked on RTX 5090: 92.8 tok/s at FP16, VRAM usage, cost per 1M tokens, and deployment configuration., Internal links: 9 –>
Qwen 2.5 7B benchmarked on RTX 5090: 92.8 tok/s at FP16, VRAM usage, cost per 1M tokens, and deployment configuration.
Qwen 2.5 7B on RTX 5080: Performance Benchmark & Cost, Category: Benchmarks, Slug: qwen-2.5-7b-on-rtx-5080-benchmark, Excerpt: Qwen 2.5 7B benchmarked on RTX 5080: 66.5 tok/s at FP16, VRAM usage, cost per 1M tokens, and deployment configuration., Internal links: 9 –>
Qwen 2.5 7B benchmarked on RTX 5080: 66.5 tok/s at FP16, VRAM usage, cost per 1M tokens, and deployment configuration.
Qwen 2.5 7B on RTX 3090: Performance Benchmark & Cost, Category: Benchmarks, Slug: qwen-2.5-7b-on-rtx-3090-benchmark, Excerpt: Qwen 2.5 7B benchmarked on RTX 3090: 43.0 tok/s at FP16, VRAM usage, cost per 1M tokens, and deployment configuration., Internal links: 9 –>
Qwen 2.5 7B benchmarked on RTX 3090: 43.0 tok/s at FP16, VRAM usage, cost per 1M tokens, and deployment configuration.
Gemma 2 9B on RTX 3090: Performance Benchmark & Cost, Category: Benchmarks, Slug: gemma-2-9b-on-rtx-3090-benchmark, Excerpt: Gemma 2 9B benchmarked on RTX 3090: 52.0 tok/s at FP16, VRAM usage, cost per 1M tokens, and deployment configuration., Internal links: 9 –>
Gemma 2 9B benchmarked on RTX 3090: 52.0 tok/s at FP16, VRAM usage, cost per 1M tokens, and deployment configuration.
Gemma 2 9B on RTX 4060 Ti: Performance Benchmark & Cost, Category: Benchmarks, Slug: gemma-2-9b-on-rtx-4060-ti-benchmark, Excerpt: Gemma 2 9B benchmarked on RTX 4060 Ti: 23.6 tok/s at 4-bit GGUF Q4_K_M, VRAM usage, cost per 1M tokens, and deployment configuration., Internal links: 9 –>
Gemma 2 9B benchmarked on RTX 4060 Ti: 23.6 tok/s at 4-bit GGUF Q4_K_M, VRAM usage, cost per 1M tokens,…
Gemma 2 9B on RTX 4060: Performance Benchmark & Cost, Category: Benchmarks, Slug: gemma-2-9b-on-rtx-4060-benchmark, Excerpt: Gemma 2 9B benchmarked on RTX 4060: 18.5 tok/s at 4-bit GGUF Q4_K_M, VRAM usage, cost per 1M tokens, and deployment configuration., Internal links: 9 –>
Gemma 2 9B benchmarked on RTX 4060: 18.5 tok/s at 4-bit GGUF Q4_K_M, VRAM usage, cost per 1M tokens, and…
Gemma 2 9B on RTX 3050: Performance Benchmark & Cost, Category: Benchmarks, Slug: gemma-2-9b-on-rtx-3050-benchmark, Excerpt: Gemma 2 9B benchmarked on RTX 3050: 8.4 tok/s at 4-bit GGUF Q4_K_M, VRAM usage, cost per 1M tokens, and deployment configuration., Internal links: 9 –>
Gemma 2 9B benchmarked on RTX 3050: 8.4 tok/s at 4-bit GGUF Q4_K_M, VRAM usage, cost per 1M tokens, and…
Phi-3 Mini on RTX 5090: Performance Benchmark & Cost, Category: Benchmarks, Slug: phi-3-mini-on-rtx-5090-benchmark, Excerpt: Phi-3 Mini benchmarked on RTX 5090: 100 tok/s at FP16, VRAM usage, cost per 1M tokens, and deployment configuration., Internal links: 9 –>
Phi-3 Mini benchmarked on RTX 5090: 100 tok/s at FP16, VRAM usage, cost per 1M tokens, and deployment configuration.
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