［ninfer v100X2］v100 achieves new glories! qwen3.8 27b nvfp4 2000t/s prefill, 115t/s decode
Dual-card v100, the strongest inference engine in history has arrived! First in the world, second in China.
A graphics card that is 10,000 times better than the 5090
［Ninfer V100X2］v100 achieves glory again! qwen3.8 27b nvfp4 peak 236t/s decoding, 2000t/s prefill
《全网首发》使用显卡演奏全首千本樱
The strongest 4-card V100 inference engine in history! Number one in the world, number two in China!
[Open Source under GPL3.0] Kotlin & torchscript refactored mobile GPT-SoViTs Runner, supports OpenAI API, supports original GSV model conversion
V100 running Qwen3.8 27B Qianwen nvfp4 with speed over 50 tokens, about half the speed of Pro 6000d. In the current environment of soaring graphics card prices, it is probably the most cost-effective AI operation graphics card.
AI Server with 8x 5090 32G, 8x 5090 GPUs—Can You Handle It?
Guide to setting up a base model local large language model inference server
【Save Money Tips】A 500-yuan NVIDIA V100 16G can run vllm: qwen3.8 27b, with speeds up to 200 tokens/s
The H200 really sounds like an airplane "engine" when it runs
8GB VRAM Can Actually Run 125B Large Model! RAM Bravely Takes On Qwen3.8-Flash-Next, Works on Both NVIDIA and AMD Cards! Local Deployment Test | Zero Degree Tutorial
终极千问部署方案=ninfer+kvmem 首发！
Qwen3.8-27B Local Deployment Practical Guide: Qwen's open-source release is absolutely insane!
GPT-SoVITs voice changer!??
Windows11 native VLLM deployment of Qwen3.6-27B at 100 Tokens per second
5060Ti Challenging MiniMax H3 1080p? Running a 39.5G Model on 16GB VRAM?
【768GB VRAM】8 RTX PRO 6000 Blackwell AI Servers Build｜ASUS ESC8000A-E13DR
Dual 2080Ti Qwen3.8 27B single-concurrency extreme speed exceeds 200tk/s
