will it local
DDR3-1600 dual-channel = 25.6 GB/s — the LLM floor: 1B Q4 ~1.5-2.5 tok/s, 3B Q4 under 1 tok/s DDR3 platforms predate AVX2 often — check CPU support before expecting even that Answer: any 8GB dGPU from the last decade beats this
Shared-memory device — speed scales with RAM bandwidth (25.6 GB/s shared RAM), usable for inference ≈ 6.0 GB of 8 GB system RAM
→explore the full catalogupgrade paths with live prices · what fits on each machinecomputed band 2.2-3.5 tok/s for 8B Q4_K_M (roofline, 25.6 GB/s shared RAM)
Effective decode window: 0.45–0.70 of 25.6 GB/s nominal → ~12–18 GB/s effective (llama.cpp decode, Q4_K_M basis; arch window, community-calibrated; nominal is JEDEC channel arithmetic (system RAM))
→ 13b-q4 no 14.6 GB vs 6 GB usable — does not fit
→ 3b-q4 full 2.8 GB needed of 6 GB usable — headroom for context
→ 4b-q4 full 3.7 GB needed of 6 GB usable — headroom for context
→ 8b-q4 tight 6.1 of 6 GB usable — barely over; real with q8 KV cache (halves KV) or shorter context
no single-card bench published — band is computed (see notes)
Nominal bandwidth: 25.6 GB/s shared memory — see the effective decode window above
→ qwen3:0.6b on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) 0.6B · 0.6GB · needs ~1GB (4k ctx)
→ qwen3:1.7b on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) 1.7B · 1.4GB · needs ~1.8GB (4k ctx)
→ qwen3:4b on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) 4B · 2.6GB · needs ~3.2GB (4k ctx)
→ llama3.2:1b on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) 1B · 1.3GB · needs ~1.4GB (4k ctx)
→ llama3.2:3b on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) 3B · 2.0GB · needs ~2.4GB (4k ctx)
→ gemma3:1b on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) 1B · 1.0GB · needs ~1.1GB (4k ctx)
→ phi4:mini on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) mini 3.8B · 2.5GB · needs ~3GB (4k ctx)
→ moondream:2b on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) 2B · 1.7GB · needs ~3.7GB (4k ctx)
→ whisper:tiny on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) tiny · 0.1GB · needs ~2.1GB (4k ctx)
→ whisper on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) base · 0.3GB · needs ~2.3GB (4k ctx)
→ whisper:small on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) small · 0.9GB · needs ~2.9GB (4k ctx)
→ whisper:medium on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) medium · 3.1GB · needs ~5.1GB (4k ctx)
→ kokoro:82m on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) 82M · 0.3GB · needs ~2.3GB (4k ctx)
→ gemma3:4b on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) 4B · 3.3GB · needs ~3.8GB (4k ctx)
→ deepseek-r1:7b on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) distill 7B · 4.7GB · needs ~4.9GB (4k ctx)
→ mistral:7b on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) 7B · 4.1GB · needs ~4.6GB (4k ctx)
→ qwen3:8b on Tesla P100 (16GB, used) ($135) 8B · 5.2GB · needs ~5.8GB (4k ctx)
→ qwen2.5vl:7b on Tesla P100 (16GB, used) ($135) 7B · 5.6GB · needs ~5.8GB (4k ctx)
→ llama3.1:8b on Tesla P100 (16GB, used) ($135) 8B · 4.9GB · needs ~5.4GB (4k ctx)
→ deepseek-r1:8b on Tesla P100 (16GB, used) ($135) distill 8B · 4.9GB · needs ~5.4GB (4k ctx)
→ llava:7b 7B — 6.7 GB vs 6 GB usable — partial CPU offload, expect large speed loss
⚠ DDR3-1600 dual-channel = 25.6 GB/s — the LLM floor: 1B Q4 ~1.5-2.5 tok/s, 3B Q4 under 1 tok/s
⚠ DDR3 platforms predate AVX2 often — check CPU support before expecting even that
⚠ Answer: any 8GB dGPU from the last decade beats this
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