RTX 3090 AI Performance Hits 207 tok/s on Qwen3.5-27B Benchmarks

RTX 3090 AI performance reaches 207 tokens per second (tok/s) on Qwen3.5-27B benchmarks from Luce-Org. DFlash delivers a 5.46× speedup over 38.0 tok/s autoregressive (AR) baselines. Q1 2026 kernels optimize RTX 3090 operations.

DFlash fuses megakernels on NVIDIA Ampere GPUs like RTX 3090. HumanEval's 10-prompt suite averages 129.5 tok/s. Qwen 3.5-0.8B delivers 1.87 tok/J efficiency on 2020 GPUs, doubling Apple silicon throughput per Luce-Org tests.

DFlash Optimization Drives RTX 3090 AI Performance Surge

DFlash merges 24 layers of Qwen 3.5-0.8B into a single CUDA dispatch. It scales to Qwen3.5-27B with 82 blocks and 512 threads per megakernel. This eliminates roughly 100 kernel launches per token in traditional AR inference.

RTX 3090 processes Qwen3.5-27B at peak 207.6 tok/s. Baseline AR inference lags at 38.0 tok/s due to CUDA fragmentation. NVIDIA's RTX 3090 specifications confirm Ampere support with 10,496 CUDA cores and 24GB GDDR6X memory.

Detailed Qwen3.5-27B Benchmarks on RTX 3090

Luce-Org's DFlash demo clocks 207 tok/s on RTX 3090 with Qwen3.5-27B. HumanEval averages 129.5 tok/s across 10 prompts. Qwen 3.5-0.8B hits 1.87 tok/J efficiency.

• Metric: Qwen3.5-27B tok/s · DFlash: 207.6 · AR: 38.0 · Speedup: 5.46×
• Metric: HumanEval tok/s · DFlash: 129.5 · AR: N/A · Speedup: N/A
• Metric: Qwen 3.5-0.8B tok/J · DFlash: 1.87 · AR: N/A · Speedup: N/A

Apple silicon trails at half throughput for Qwen 3.5-0.8B. Hugging Face's Qwen model card validates 27B-scale feasibility on 24GB VRAM setups.

RTX 3090 Price-Performance Analysis for AI Workloads

Used RTX 3090 GPUs trade under $800 USD on eBay as of October 2024. This delivers workstation-grade AI inference at consumer prices. The 24GB GDDR6X VRAM and 350W TDP handle full-precision Qwen3.5-27B without quantization.

Local inference cuts cloud costs. Enterprises skip AWS A100 bills for code reviews. Gamers pair Stable Diffusion with 4K gaming. Phoronix tests confirm pre-DFlash baselines around 40 tok/s on similar LLMs.

RTX 3090 offers $3.85 per tok/s at 207 tok/s and $800. This beats new H100 equivalents at $30,000+. NVIDIA's Q3 2024 earnings show data center revenue up 112% year-over-year to $30.8 billion USD.

RTX 3090 Compares to Newer GPUs and Apple Silicon

RTX 3090 outperforms with post-Q1 2026 kernels. RTX 40-series gains DFlash boosts, but 3090 leads value per dollar. Apple M-series limits tok/s via unified memory.

Luce-Org reports 2× Apple throughput on Qwen 3.5-0.8B. Linux custom drivers maximize gains; Windows uses DirectML. Discrete 24GB VRAM edges integrated solutions. Bandwidth hits 936 GB/s per NVIDIA specs.

RTX 4090 reaches 350 tok/s but costs $1,600+ new. AMD RX 7900 XTX trails at 150 tok/s without fusion tech per independent tests.

Real-World Applications and Power Efficiency

RTX 3090 accelerates developer workflows. Local Qwen3.5-27B code reviews cut compile times 40%. Chat inference latency drops under 100ms. Power draw averages 320W, yielding 0.65 tok/s per watt.

Gamers run AI upscaling with Cyberpunk 2077 at 4K 120 FPS. Production teams speed Stable Diffusion XL rendering. Phoronix confirms 24GB VRAM suits 70B models quantized.

Future Outlook for RTX 3090 AI Performance

Q2 2026 kernels target Ryzen AI MAX+ 395 hybrid inference. Latency drops under 50ms. RTX 3090 owners test via Luce-Org's hub today. DFlash scales to 72B models rivaling datacenter efficiency.

NVIDIA stabilizes Ampere supply via TSMC. Used prices hold amid AI demand. Investors track NVDA stock up 150% YTD on inference sales. RTX 3090 AI performance remains a budget powerhouse.