Unparalleled flexibility across models, benchmarking methodologies, deployment strategies, and hardware configurations —ALL in ONE platform.
Hugging Face
Compatible Models:
Llama 3+| DeepSeek |
Gemma | Phi | Qwen ...
Agentic RAG, Model Serving (Inference), Fine-tuning and more
vLLM, TensorRT, SGLang, NIM, Dynamo ...
Latest AMD, NVIDIA, Intel GPUs and AI-optimized CPUs, running on Dell PowerEdge Servers
Load and stress testing, randomized prompts, varying input and output token lengths, varying concurrency levels
Latest AMD, NVIDIA, Intel GPUs and AI-optimized CPUs, running on Dell PowerEdge Servers
Load and stress testing, randomized prompts, varying input and output token lengths, varying concurrency levels
Easily interpret results with AI-driven, ready-to-publish insights as well as built-in visualizations of qualitative and quantitative metrics—no extra tooling required.
Compare performance metrics across multiple hardware configurations side-by-side to identify optimal solutions for your specific AI workloads.
Receive detailed interpretations of complex benchmarking results with AI-generated insights that highlight key performance drivers and bottlenecks.
Translate simple queries into instant, intelligent suggestions for the best-fit hardware based on your specific workload characteristics.
Align your AI workloads with the ideal hardware configuration, balancing performance needs with resource utilization.
Identify cost-effective solutions without compromising on performance, forecast long-term expenses, and plan for scalability.
Access comprehensive performance data across all of your benchmarking runs to make informed decisions about hardware and workload configurations.
