Best Open-Source LLMs You Can Self-Host in 2026
Top open-weight models for self-hosting in 2026, with verified VRAM requirements, benchmark data, and tools to deploy them on consumer and server hardware.
Articles Tagged "Quantization"
Best Open-Weights AI Models 2026: Llama, DeepSeek, Qwen
The definitive guide to open-weights AI models in 2026 - top picks by size tier, use case, benchmark scores, and deployment hardware. From 400B+ MoE giants to 1B edge models.
LLM Quantization Impact Leaderboard 2026: INT4 vs FP16
How much quality do LLMs lose when quantized from BF16 to INT8, Q6, Q5, Q4, Q3, Q2? Per-model delta tables across MMLU, HumanEval, and perplexity, with VRAM and throughput data for every major quantization format.
Best Open-Source LLM Inference Servers 2026
A benchmark-driven comparison of the top open-source LLM inference servers - vLLM, SGLang, TGI, llama.cpp, TensorRT-LLM, LMDeploy, and more.
A $900 RTX 3090 Now Beats an M5 Max at LLM Inference
Two researchers fused all 24 layers of Qwen 3.5-0.8B into a single CUDA kernel launch, making a five-year-old RTX 3090 deliver 1.8x the throughput of an M5 Max at equal or better efficiency. The gap was software, not silicon.
Google's TurboQuant Cuts LLM Memory 6x With Zero Loss
Google Research's TurboQuant compresses LLM key-value cache by 6x and delivers 8x speedup on H100 GPUs with zero accuracy loss - no fine-tuning required.
NVIDIA Rubin CPX - Inference GPU With GDDR7
Full specs, benchmarks, and analysis of the NVIDIA Rubin CPX - a purpose-built inference GPU with 128GB GDDR7, 30 PFLOPS NVFP4, and 3x faster attention versus Blackwell, targeting million-token context workloads.
NVIDIA Rubin R200 - Next-Gen AI Superchip
Complete specs, benchmarks, and analysis of the NVIDIA Rubin R200 GPU - the post-Blackwell flagship with 288GB HBM4, 22 TB/s bandwidth, and 50 PFLOPS FP4.
NVIDIA B200 - Blackwell Flagship GPU
Complete specs, benchmarks, and analysis of the NVIDIA B200 - the Blackwell-architecture flagship GPU with 192GB HBM3e, 8 TB/s bandwidth, and up to 9,000 TFLOPS FP8.
NVIDIA H100 SXM - The AI Training Benchmark
Complete specs, benchmarks, and analysis of the NVIDIA H100 SXM - the Hopper-architecture GPU that defined the standard for AI training and inference performance.
NVIDIA H200 - Inference-Optimized Hopper
Complete specs, benchmarks, and analysis of the NVIDIA H200 - the HBM3e-equipped Hopper GPU that delivers 76% more memory and 43% more bandwidth than the H100 for inference workloads.
Qwen 3.5 FP8 Weights Drop - How to Actually Deploy a 397B Model on 8 GPUs
Alibaba releases official FP8-quantized weights for the Qwen 3.5 flagship and 27B dense model, cutting memory requirements roughly in half and enabling deployment on 8x H100 GPUs with native vLLM and SGLang support.
