Mortdecai
b6190357ba
Cross-host Gemma 4 throughput comparison across three architectures. Harness at scripts/gpu-bakeoff/; writeup at docs/reference/gpu-bakeoff-2026-04-20.md. Key findings: - RTX 3090 Ti wins decode decisively (128 tok/s on gemma4:26b MoE Q4, ~4.7× faster than gemma4:31b dense on the same card). - AMD Strix Halo iGPU lands at ~42% of 3090 Ti decode on ~25% of the memory bandwidth — good SIMD utilization, especially for MoE. - V100 numbers are DEGRADED: CT 167 ai-visualizer SDXL consumes 31/32 GB of its VRAM, forcing Gemma 4 models 95% onto CPU. Isolated V100 run requires SDXL eviction — left as follow-up. - MoE vs dense is the dominant latency factor across all GPUs: ~4 B active params of gemma4:26b beats 31.3 B active of gemma4:31b by the same ratio (~4.7×) on every card tested. Methodology: 1 warmup + 3 measurement runs per (host × model × prompt-length), Ollama's canonical timing fields, temp=0 greedy, num_predict=256. All three Ollama servers accessed via HTTP (Strix via Tailscale). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
81 lines
1.7 KiB
JSON
81 lines
1.7 KiB
JSON
{
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"host": "pve197",
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"gpu": "Tesla V100-PCIE-32GB",
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"vram_gb": 32,
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"model_alias": "gemma4:26b",
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"model_tag": "gemma4:26b",
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"prompt_key": "short",
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"prompt_chars": 78,
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"num_predict": 256,
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"num_ctx": 4096,
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"runs": [
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{
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"prompt_tokens": 27,
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"prompt_eval_ms": 112.5,
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"prefill_tok_per_s": 240.05,
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"output_tokens": 256,
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"eval_ms": 30919.5,
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"decode_tok_per_s": 8.28,
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"load_ms": 531.1,
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"total_ms": 31828.4,
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"harness_wall_s": 31.832,
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"done_reason": "length"
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},
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{
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"prompt_tokens": 27,
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"prompt_eval_ms": 113.6,
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"prefill_tok_per_s": 237.6,
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"output_tokens": 256,
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"eval_ms": 30399.9,
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"decode_tok_per_s": 8.42,
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"load_ms": 479.4,
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"total_ms": 31242.1,
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"harness_wall_s": 31.246,
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"done_reason": "length"
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},
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{
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"prompt_tokens": 27,
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"prompt_eval_ms": 111.0,
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"prefill_tok_per_s": 243.16,
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"output_tokens": 256,
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"eval_ms": 30712.9,
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"decode_tok_per_s": 8.34,
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"load_ms": 483.2,
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"total_ms": 31552.8,
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"harness_wall_s": 31.557,
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"done_reason": "length"
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}
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],
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"warmup": {
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"prompt_tokens": 27,
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"prompt_eval_ms": 843.7,
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"prefill_tok_per_s": 32.0,
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"output_tokens": 256,
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"eval_ms": 30499.4,
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"decode_tok_per_s": 8.39,
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"load_ms": 5877.7,
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"total_ms": 37664.4,
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"harness_wall_s": 37.668,
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"done_reason": "length"
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},
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"summary": {
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"prefill_tok_per_s": {
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"min": 237.6,
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"median": 240.05,
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"max": 243.16,
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"n": 3
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},
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"decode_tok_per_s": {
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"min": 8.28,
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"median": 8.34,
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"max": 8.42,
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"n": 3
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},
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"total_ms": {
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"min": 31242.1,
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"median": 31552.8,
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"max": 31828.4,
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"n": 3
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}
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}
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} |