GPU Benchmark Testing Encompassing Various User Scenarios
vLLM Benchmark
vLLM Benchmark Pro6000
This report evaluates the real-world inference performance of a Pro 6000 GPU using the vLLM inference engine... Read More
vLLM Benchmark Pro5000
The results focus on key serving metrics such as token throughput, request rate, and latency distribution... Read More
vLLM Benchmark Pro2000
Detailed vLLM inference benchmark on NVIDIA RTX Pro 2000 Blackwell, evaluating throughput, latency, and request handling across multiple LLMs... Read More
vLLM Benchmark H100
This article tests the inference performance of multiple llm on Hugging Face based on the NVIDIA H100 80GB GPU and vLLM backend... Read More
vLLM Benchmark A100 80GB
This article delves into the results, offering actionable recommendations for optimizing vLLM server performance... Read More
vLLM Benchmark A100-40GB
Running LLMs efficiently requires powerful GPUs. The NVIDIA A100 40GB emerges as an affordable yet powerful choice for hosting models under 16B parameters... Read More
vLLM Benchmark 2*A100-40GB
With tensor-parallel-size set to 2 and NVLink enabled, this setup represents the gold standard for high-throughput, low-latency inference of large 14B–32B models... Read More
vLLM Benchmark 4*A100-40GB
A natural comparison arises between two widely available GPU setups: 4×A100 (40GB each, total 160GB) vs. 4×A6000 (48GB each, total 192GB)... Read More
vLLM Benchmark RTX4090
The results provide valuable insights into vLLM performance, 4090 LLM inference speed, and the best LLM models for consumer GPUs... Read More
vLLM Benchmark A6000
If you're looking for vLLM server rental, optimizing vLLM performance tuning, or understanding A6000 benchmark results, this report offers key takeaways... Read More
vLLM Benchmark 4*A6000
The 4×NVIDIA A6000 (48GB) setup. This configuration delivers 192GB of total VRAM, enough to cover all current 70–72B Hugging Face models using vLLM... Read More
vLLM Benchmark A5000
If you're looking for vLLM server rental, optimizing vLLM performance tuning, or understanding A5000 benchmark results, this report offers key takeaways... Read More
vLLM Benchmark A40
This report benchmarks the performance of the NVIDIA A40 (48GB) using the vLLM inference engine under 50 and 100 concurrent request conditions... Read More
vLLM Benchmark 3*V100
This report presents the vLLM benchmark results for 3×V100 GPUs, evaluating different models under 50 and 100 concurrent requests... Read More
Ollama Benchmark
Ollama Benchmark Pro6000
This article presents large language models running on Ollama 0.13.5, tested on a single NVIDIA RTX Pro 6000 Blackwell server... Read More
Ollama Benchmark Pro5000
This report evaluates the NVIDIA RTX Pro 5000 Blackwell Server GPU as an inference platform using Ollama 0.13.5. ... Read More
Ollama Benchmark Pro2000
Ollama inference benchmark on NVIDIA RTX Pro 2000 Blackwell (16GB). Analyzes INT4 LLM token speed from 4B to GPT-OSS 20B models... Read More
Ollama Benchmark H100
This article benchmarks Ollama's performance on an H100 GPU server, analyzing its ability to handle LLMs efficiently... Read More
Ollama Benchmark 2*A100-40GB
We explore the performance of running LLMs on Ollama using dual Nvidia A100 GPUs... Read More
Ollama Benchmark A100 40GB
This article will evaluate the performance of running LLMs on Ollama using a dedicated Nvidia A100 40GB GPU server... Read More
Ollama Benchmark 2*RTX5090
We evaluate the performance of 2× RTX 5090 GPUs running DeepSeek-R1 70B, LLaMA 3.3 70B, and Qwen 2.5 72B & 110B models using Ollama 0.6.5.... Read More
Ollama Benchmark RTX5090
We’ll show why the RTX 5090 is the best single-GPU option for 32B LLM inference ... Read More
Ollama Benchmark RTX5060
The NVIDIA RTX 5060 GPU with 8GB of VRAM is an affordable yet surprisingly capable option for running open-source large language models (LLMs) locally.... Read More
Ollama Benchmark RTX4090
The NVIDIA RTX 4090, a powerhouse GPU featuring 24GB GDDR6X memory, paired with Ollama... Read More
Ollama Benchmark RTX4060
We test Ollama on a dedicated Nvidia RTX 4060 server to evaluate its performance in LLM inference... Read More
Ollama Benchmark RTX3060ti
If you're looking to understand how the RTX 3060 compares to other GPUs in LLM benchmarking, this review will provide actionable insights... Read More
Ollama Benchmark RTX2060
Can an Nvidia RTX2060 effectively handle LLMs like DeepSeek, Llama 3, Mistral, and Qwen?... Read More
Ollama Benchmark GTX1660
The Nvidia GeForce GTX 1660, a mid-tier gaming GPU, is now being employed for running LLMs (Large Language Models) in server environments... Read More
Ollama Benchmark A6000
The Nvidia Quadro RTX A6000 is a powerhouse GPU known for its exceptional performance in AI and machine learning tasks... Read More
Ollama Benchmark A5000
This article explores Ollama's performance on an NVIDIA Quadro RTX A5000-powered server... Read More
Ollama Benchmark A4000
In this benchmark, we evaluate the performance of various LLMs on Ollama using an NVIDIA A4000 GPU VPS... Read More
Ollama Benchmark T1000
In this article, we will benchmark the performance of various LLMs running on the Ollama platform, leveraging the Nvidia Quadro T1000 GPU.... Read More
Ollama Benchmark P1000
In this article, we explore the benchmark performance of Ollama on a dedicated GPU server featuring the Nvidia Quadro P1000 GPU.... Read More
Ollama Benchmark V100
The NVIDIA V100 server is a popular choice for LLM reasoning due to its balance of compute power.... Read More
Ollama Benchmark A40
This report evaluates the performance of Nvidia A40 GPUs when running LLMs with the Ollama platform.... Read More
Stable Diffusion Benchmark
SD Benchmark RTX 5090
In this benchmark, we tested Stable Diffusion XL (SDXL) Base + Refiner running on ComfyUI with an RTX 5090 GPU server.... Read More