Compare the hardware powering AI

Flopper.io compares pricing and specs for the GPUs powering AI and HPC.

Database totals as of 27 October 2026

Popular GPUs for AI

The most researched GPUs you can buy or rent today, from the cards that run models locally to the accelerators that train them.

# GPU Memory Bandwidth FP8 FP8 per $ Lowest Median Providers Availability 30d trend Rent
1
H100 SXM5 80GB
80 GB 3.35 TB/s 1,979 TF 501 TF/$ $1.83 /hr $3.95 /hr SesterceTogether AIKoyeb +24 In stock 5 Rent
2
H200 SXM 141GB
141 GB 4.8 TB/s 1,979 TF 452 TF/$ $2.09 /hr $4.38 /hr BeamSesterceTogether AI +21 In stock 4 Rent
3
L40S 48GB
48 GB 864 GB/s 733 TF 503 TF/$ $0.76 /hr $1.46 /hr BeamSesterceGPU.ai +19 In stock 6 Rent
4
A100 SXM4 80GB
80 GB 2.04 TB/s — — $1.07 /hr $1.70 /hr GPU.aiThunder ComputeBeam +19 In stock 6 Rent
5
B200 SXM 180GB
180 GB 7.7 TB/s 4,500 TF 563 TF/$ $4.09 /hr $7.99 /hr Together AIBeamKoyeb +14 In stock 2 Rent
6
RTX PRO 6000 Blackwell Workstation Edition
96 GB 1.79 TB/s 1,008 TF 416 TF/$ $1.09 /hr $2.42 /hr BeamGPU.aiNebius +9 In stock 3 Rent
7
GeForce RTX 4090 24GB
24 GB 1.01 TB/s 330 TF 410 TF/$ $0.44 /hr $0.80 /hr BeamOblivusSpheron +3 In stock 2 Rent
8
Instinct MI300X 192GB
192 GB 5.3 TB/s 2,615 TF 875 TF/$ $2.39 /hr $2.99 /hr RunPodDigitalOceanHot Aisle +2 Unconfirmed 5 Rent
9
GeForce RTX 5090 32GB
32 GB 1.79 TB/s 838 TF 826 TF/$ $0.72 /hr $1.01 /hr BeamSpheronRunPod +1 In stock 1 Rent
10
Gaudi 2 96GB
96 GB 2.45 TB/s 865 TF 786 TF/$ $1.10 /hr $1.10 /hr Shadeform In stock 1 Rent

Popular AI Systems

The most popular multi-GPU AI systems you can buy or rent today, from individual servers to full rack-scale platforms.

# System Accelerators Total Memory FP16 From $/hr Power Rent
1
HGX B200 8-GPU
8 × B200 1.44 TB 18.0 PF $32.72 /hr‡ 10.2 kW Rent
2
Huawei logo
Atlas 800I A3
8 × Ascend 910C 1.02 TB 4.48 PF — 14.6 kW
3
DGX H100
8 × H100 640 GB 7.92 PF $14.64 /hr‡ 8.5 kW Rent
4
HGX H100 8-GPU
8 × H100 640 GB 7.92 PF $14.64 /hr‡ 8 kW Rent
5
HGX H200
8 × H200 1.13 TB 7.92 PF $16.72 /hr‡ 8 kW Rent
6
DGX A100 640GB
8 × A100 640 GB 2.50 PF $8.56 /hr‡ 6.5 kW Rent
7
Gaudi 3 HLB-325 Baseboard
8 × Gaudi 3 1.02 TB 3.67 PF† — 7.6 kW
8
DGX H200
8 × H200 1.13 TB 7.92 PF $16.72 /hr‡ 8.5 kW Rent
9
Instinct MI300X Platform
8 × Instinct MI300X 1.54 TB 10.5 PF $19.12 /hr‡ 6 kW Rent
10
Instinct MI355X Platform
8 × Instinct MI355X 2.3 TB 20.1 PF $47.92 /hr‡ — Rent

† 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.

All analysis

What's new

The hardware and the clouds that landed here most recently.

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.

Datacenter hall with long rows of GPU racks

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.

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