Records found: 7
'A concise technical comparison of vLLM, TensorRT-LLM, Hugging Face TGI v3 and LMDeploy, highlighting when to use each stack for production LLM inference based on throughput, latency and KV behavior.'
NVIDIA's TiDAR combines one-step diffusion drafting with autoregressive verification in a single forward pass to exploit free GPU token slots and multiply tokens-per-forward by up to about 6x while preserving benchmark quality.
'A practical comparison of the top 6 LLM inference runtimes in 2025, highlighting design tradeoffs, KV cache strategies, performance profiles, and where each engine fits in production.'
kvcached provides a virtualized, elastic KV cache for LLM serving on shared GPUs, reducing memory waste and speeding activation across colocated models.
'oLLM offloads model weights and KV cache to SSD so you can run very long-context LLMs on a single 8GB GPU, trading storage bandwidth for massive context windows.'
'Amin is an optimistic, adaptive scheduler that uses lower-bound estimates and ordered eviction to cut LLM inference latency dramatically, often matching hindsight-optimal performance and outperforming conservative algorithms by up to 5x.'
'Huawei's CloudMatrix builds a peer-to-peer supernode combining 384 Ascend 910C NPUs and 192 Kunpeng CPUs to deliver high-throughput, low-latency LLM serving, with CloudMatrix-Infer optimizing MoE and KV cache workloads.'