AI Hardware Benchmarks: GPUs, Cloud GPU Pricing and AI Chips
AI hardware sets the speed and cost of training and running models. We benchmark GPUs, AI accelerators and chips, and track cloud GPU pricing, providers and inference engines across the stack.
Explore AI Hardware Benchmarks: GPUs, Cloud GPU Pricing and AI Chips
- AI HardwareBenchmarkAug 31
Cloud GPU Pricing, Performance & Provider Comparison
Cloud GPU list prices for the same model can differ several times over from one provider to another. We curated the lowest rate, provider, market range, and median for 40+ GPU configurations across all three pricing tiers, plus a throughput-per-dollar benchmark on 10 models. See the most cost-effective GPU for your workload across 13 hyperscaler…
- AI HardwareBenchmarkJul 1
LLM Inference Engines: vLLM vs LMDeploy vs SGLang
We benchmarked 3 leading LLM inference engines on NVIDIA H100: vLLM, LMDeploy, and SGLang. Each engine processed identical workloads: 1,000 ShareGPT prompts using Llama 3.1 8B-Instruct to isolate the true performance impact of their architectural choices and optimization strategies. We measured offline batch throughput across 10,000 total inference operations (1,000 prompts × 10 runs per…
- AI HardwareFeature ComparisonJun 30
GPU Software for AI: CUDA vs. ROCm
Raw hardware specifications tell half the story in GPU computing. To measure real-world AI performance, we ran 52 distinct tests comparing AMD’s MI300X with NVIDIA’s H100, H200, and B200 across multi-GPU and high-concurrency scenarios. While AMD’s MI300X boasts 1,307 TFLOPS compared to NVIDIA’s H100/H200 at 990 TFLOPS, a 32% theoretical advantage, real-world performance is a…
- AI HardwareOpen World EvaluationJun 22
Top 15 Edge AI Chip Makers with Use Cases
The demand for low-latency processing has driven innovation in edge AI chips. These processors are designed to perform AI computations locally on devices rather than relying on cloud-based solutions. Based on our experience analyzing AI chip makers, we identified the leading solutions for robotics, industrial IoT, and embedded systems. *TOPS = Tera Operations Per Second.…