Compare the hardware powering AI
Explore GPUs, specifications, performance and cloud pricing in one place.
Database totals as of 30 September 2026
Popular GPUs
The most popular GPUs that you can buy or rent today for training or hosting AI models.
Popular AI Systems
The most popular multi-GPU AI systems you can buy or rent today, from individual servers to full rack-scale platforms.
† Aggregate theoretical peak: GPU count times the accelerator's per-chip FP16 figure, not a vendor-published system total.
‡ From $/hr is the accelerator's cheapest live on-demand rate times the GPU count, not a quoted node price.
Analysis
Original reporting from the Flopper desk: roadmaps decoded, claims checked against the database.
Skynet Ran at 60 Teraflops. That Is One Gaming GPU Now.
31 Oct 2026
In Terminator 3 (2003), Skynet runs at "60 teraflops per second", which beat the fastest computer on Earth at the time. In 2026 that is one RTX 4090, or 1/18,000th of a GB300 NVL72 rack at FP4. Count in FP64, the precision a 2003 supercomputer meant, and the whole rack is only 1.7 Skynets. A Halloween look at why a TFLOPS figure without a precision is a plot device, not a spec.
NVIDIA Wants GPU Code to Care Less About the GPU
17 Sept 2026
NVIDIA is bringing native Rust support to CUDA with two projects, cuda-oxide and cutile-rs. The bigger story may be CUDA Tile, a programming model where developers describe operations on tiles of data and the compiler decides how they map onto the GPU. The hardware differences between an A100, an H100 and a B200 are not going anywhere, but software may need to know less about them.
NVIDIA Quietly Lists the RTX PRO 5500 Blackwell: 84 GB, Built for the Rack
17 Sept 2026
A new Blackwell workstation card appeared on NVIDIA's site with no press release: 84 GB of GDDR7 with ECC, 1,398 GB/s, up to 600 W and the RTX 5090's 21,760 CUDA cores, aimed at rack-mounted workstation deployment. NVIDIA has published no TFLOPS, price or date, and the 84 GB does not fit the listed 416-bit bus. We separate what is published from what is not, and the card is now in the database.
What's new
The hardware and the clouds that landed here most recently.
New hardware
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 216+ 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 216+ datacenter GPUs. Filter by precision, vendor, architecture, and form factor. Compare specs side by side.
