You've narrowed it down to two cards. They're $200 apart. The spec sheet says the expensive one is 15% faster, but you don't know if that 15% matters for the models you actually run.
Chloe runs the head-to-head comparisons that answer the specific question you're actually asking, not the benchmark the manufacturer wants you to see. No synthetic benchmark theater. Her comparisons focus on the metrics that matter for local LLM workloads specifically.
DeepSeek V4's 400GB VRAM demand breaks most builds—32B distilled fits RTX 4090, 70B needs dual-GPU, 671B demands 8× setup. Match model to hardware tier before you buy.
Jul 11, 2026
Dense 70B models need 42 GB VRAM and fail on consumer GPUs—Llama 4 Scout's 109B/17B MoE design runs at 28 tok/s in 18.5 GB. Here's the catch: 4K context ceiling, routing opacity, and a 5-point quantization hit you can't ignore.
Jul 11, 2026
Desktop GPUs win on tok/s but choke at 24 GB—M5 Max's 128 GB unified memory runs 70B+ models and 405B MoE desktops can't touch. 18–22 tok/s, zero throttling, one machine for code and inference.
Jul 11, 2026
Chasing leaderboard ELO wastes VRAM—Qwen3-235B hits 82.1 MMLU-Pro at 48 GB, but 24 GB buyers win with 32B Q4. Match model to hardware tier and task, not raw rank. Here's the benchmark-grounded map.
Jul 11, 2026
70B models choke your GPU—Qwen 3.6 27B hits 73.2% HumanEval at 18–22 tok/s on a single RTX 3090, no cloud bill. Run it locally in one Ollama command.
Jul 11, 2026
8GB GPUs choke on 13B models—RX 9060 XT 16GB unlocks them for $349, beats RTX 5060's VRAM wall, but a $220 used RTX 3090 changes everything. Pick right, not new.
Jul 11, 2026
32GB VRAM under $1K sounds perfect for local LLMs—until you benchmark IPEX-LLM against CUDA. Arc Pro B70 tok/s lags RTX 3090 on 70B offload, wins only at 32B context headroom. Buy Intel for the gigabytes, buy used NVIDIA for the speed.
May 22, 2026Arc Pro B70 $949 32GB vs used RTX 3090 24GB. Specs, benchmarks, and which GPU actually wins for 70B models at home. Bandwidth vs VRAM explained.
May 21, 2026
RX 9060 XT doubles VRAM for $299 but needs ROCm 6.3 flags; RTX 5060 runs one-click at 8 GB; Arc B580 is beta-only. Pick the GPU that matches your tolerance for compile flags, not just your budget.
May 19, 2026
May 2026 reality: Hipfire and Strix Halo shift AMD's inference story. AMD wins VRAM value; NVIDIA wins training. Route by your workload, not brand loyalty.
May 8, 2026
AWQ on vLLM vs GGUF on llama.cpp — 4-bit format choice for multi-user vs single-user. Speed, runner support, and which fits your stack.
May 8, 2026
EXL3 borrowed GGUF's imatrix for NVIDIA. Matched benchmarks vs Q4_K_M/IQ4_XS show if it closed the gap. Qwen 3.6 ready, runners catching up — upgrade when your runner is stable.
May 8, 2026
`B580's IPEX-LLM: 95 tok/s on Qwen 3.6 7B (10–25% faster). RTX 3060: $220 used, CUDA proven. Buy B580 for new + speed. Buy 3060 for zero software friction.`
May 8, 2026
IQ4_XS saves ~12% VRAM vs Q4_K_M with near-equal perplexity on Qwen 3.6 27B. Benchmarks, when to pick which, and where IQ3_XXS becomes risky.
May 8, 2026
Mac Mini M4 24 GB vs used RTX 3090 desktop for local LLMs. Unified memory and silence vs raw VRAM and decode speed — a decision matrix.
May 8, 2026
Need 70B local LLM power? Single 3090 chokes at 8K context, 5090 can't run Q5_K_M, Mac Studio is silent but slow. See tok/s, TCO, and the dual 3090 surprise winner—before you buy the wrong tier and eat 70% depreciation.
May 5, 2026
Stop wasting money on GPUs that can't run local LLMs. RTX 3060 hits 18.4 tok/s with 12GB VRAM, Arc B580 crashes at 2.8 tok/s, and 5060 Ti's 8GB is a 13B trap—here's the 3-year TCO truth Budget Builders need.
May 5, 2026
Cloud H100 at $4/hr seems cheap until month 10. RTX 5090 breaks even at 68 hrs/mo, saves $11K in 3 years. 5 non-financial kill criteria make cloud math meaningless — latency, privacy, availability, data gravity, customization.
May 5, 2026
Your RTX 4090 is leaving 45% speed on the table. Benchmark all 3 engines on identical Llama-3 8B hardware—187 tok/s single-user, 312 tok/s batch. See which engine wins your workload before you waste another weekend on broken installs.
May 5, 2026
Same $2,400 price, wildly different LLM performance: M4 Pro 64GB hits 4.1 tok/s on 70B while RTX 4090 reaches 12.4 tok/s. MLX vs CUDA, memory bandwidth, and the quantization gap—compared so you don't guess wrong.
May 5, 2026
Stop guessing which llama.cpp quant to download. Q4_K_M, Q5_K_M, and Q6_K compared on Llama-3 8B and Qwen3 14B for perplexity, speed, and coding accuracy—here's the VRAM tier matrix that ends the hoarding.
May 5, 2026
Wrong quant kills Qwen3.6's expert routing—Q4_K_M drops 11 points on GSM8K, Q5_K_M recovers verification behavior, but Q8_0 needs 48 GB. Match quant to your GPU tier and workload, not just perplexity.
Apr 30, 2026
RTX 5060 Ti 16 GB wins the 27B dense race: $499 vs $589, 22–28 vs 6–10 tok/s on Qwen 3.6 Q4_K_M, 3.5× better efficiency. VRAM beats compute. Choose by actual workload.
Apr 30, 2026
16 GB GPUs choke on 70B models—dual cards hit 4–6 tok/s with PCIe overhead, while a used RTX 3090 hits 8–12 tok/s for $150–400 net. Match your setup to the right upgrade path, not the r/LocalLLaMA hype.
Apr 30, 2026
Compare Azure-Mistral per-token pricing vs. self-hosted Mistral on RTX 4090. Break-even payback, TCO math, and when local inference beats the cloud.
Apr 27, 2026
AMD Lemonade 10.1 delivers 8–15% LLM throughput gains on ROCm. Verified deltas by GPU, which configs benefit, and safe upgrade steps for your hardware.
Apr 27, 2026
Can't pick a $400 GPU for 7B/13B LLMs? Compare 3060 12GB, A4000, used 6800 XT: real tok/s, VRAM headroom, driver stability, setup friction. Which wins your workload?
Apr 26, 2026
April's KV-cache quantization cracked the 8 GB ceiling—13B models now run comfortably. Benchmarks for RTX 3060/4070, quantization tiers, setup walkthrough.
Apr 26, 2026
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