Compare the hardware powering AI
Explore GPUs, specifications, performance and cloud pricing in one place.
Database totals as of 12 September 2026
GPUs
Compare datacenter GPUs across performance, memory and efficiency.
AI Systems
Compare multi-GPU platforms and complete AI systems.
Rack-Scale AI
Compare complete rack-scale systems built for large-scale AI training and inference.
Cloud pricing
What the same GPU rents for across providers: lowest, median, and highest live on-demand rate, from 186 listings covering 52 GPUs.
Price dispersion by provider
the 10 deepest markets, on-demand $/GPU-hr, log scaleA wide span means shopping around pays: the same GPU can cost several times more at the top of its range than at the bottom.
52 of 290 accelerators carry a live price. Spot and community rates are excluded. Ranges span the cheapest to dearest active on-demand quote per part.
Analysis
Original reporting from the Flopper desk: roadmaps decoded, claims checked against the database.
Flopper Now Tracks GPU Rental Prices Across 24 Cloud Providers
9 Sept 2026
The spec database now carries price. 337 per-GPU hourly rates from 24 GPU clouds, normalized to USD per GPU-hour, refreshed every six hours, with price history back to July 2026. An on-demand H100 SXM5 ranges from $1.79 to $12.29 an hour depending on where you rent it. Here is what is covered, how the numbers are normalized, and where they show up.
OpenAI's First Chip, Jalapeño, Takes Aim at NVIDIA's Inference Margins
24 Jun 2026
OpenAI unveiled Jalapeño, its first custom chip: an inference-only chip designed in-house and built with Broadcom, scaled over Ethernet rather than NVLink, with OpenAI's own models helping design it. OpenAI claims significantly better performance per watt than current hardware, but the chip is still in testing and it shared no TFLOPS, HBM capacity, power, or confirmed node. We separate what's confirmed from what's still marketing.
Huawei vs Nvidia: The 2026-2028 AI Accelerator Race
15 May 2026
With Trump in Beijing and Jensen Huang pitching the H200 to Chinese buyers, we decode Huawei's Ascend 910 → 970 roadmap against Nvidia's Hopper-Blackwell-Rubin lineup. The BIS-TPP numbers most outlets cite aren't raw TFLOPS — once decoded, Huawei's 2028 flagship still sits ~8x behind Nvidia on FP4, but matches on memory capacity at the rack level.
Know the units
All →Widest price spreads
One Database. Every Precision.
Vendor datasheets use different formats, units, and conditions. We normalize everything so you can compare what actually matters.
Normalized Across Vendors
NVIDIA, AMD, Intel, Google, and more — all converted to the same TFLOPS baseline at every precision level. No more cross-referencing datasheets.
Every Precision Tracked
FP64 through FP4, including BF16, TF32, and INT8. Filter and sort by the precision your workload actually uses — not just the headline number.
Specs Tied to Sources
Every data point links back to its origin: official datasheets, vendor whitepapers, or verified benchmarks. No unattributed claims.
Your AI Infrastructure Toolkit
Search, compare, calculate, and map — free tools for evaluating datacenter GPUs and AI accelerators.
Accelerator Database
Compare 213+ datacenter GPUs across FP64, FP32, FP16, BF16, FP8, and more.
Browse GPUsFLOPS Calculator
Build custom GPU configurations and calculate aggregate TFLOPS, power draw, and memory.
Open CalculatorAI Systems
DGX, HGX, NVL, and multi-GPU clusters from NVIDIA, AMD, and more with aggregate performance.
View SystemsDatacenter Map
Track 786 GPU datacenters worldwide from xAI, Meta, Microsoft, OpenAI, and more.
Explore Map
See where the compute actually lives.
Track 786 GPU datacenters worldwide from xAI, Meta, Microsoft, OpenAI and more, each mapped straight back to the accelerators inside.
- Operator & location data for every facility.
- Aggregate GPU counts tied to the spec database.
Most Compared Accelerators
The datacenter GPUs drawing the most head-to-head comparisons from AI and HPC teams right now.
AMD Instinct MI455X OAM
NVIDIA Rubin SXM
AMD Instinct MI355X OAM
NVIDIA GB300 NVL72 GPU 288GB
NVIDIA GB200 NVL72 GPU 186GB
AMD Instinct MI350X OAM
Go Deeper
Architecture breakdowns, generation comparisons, and selection guides for infrastructure buyers.
AMD Ryzen AI Halo Review
A $3,999 Strix Halo desktop with 128GB unified memory takes on Nvidia's DGX Spark. It holds huge models — but a 256 GB/s bus caps how fast it serves them.
Read reviewApple Silicon Explained
The M5 Max matches a V100 at 7x the power efficiency. Unified memory, M1–M5 specs, and how SoC GPUs compare to datacenter accelerators.
Read guide ComparisonHopper vs Blackwell
H200 vs B200 architecture comparison. Performance gains, memory improvements, and which to choose for training vs inference.
Read comparison GuideNVIDIA Architectures Explained
From Pascal to Blackwell. Understand superchips, Tensor Cores, multi-die designs, and how GPU architectures have evolved.
Read guide GuideHow to Choose a Datacenter GPU
TFLOPS, memory, TDP, precision types explained. Use case recommendations for LLM training, inference, and HPC workloads.
Read guideReady to Compare?
Search 213+ datacenter GPUs. Filter by precision, vendor, architecture, and form factor. Compare specs side by side.