GPU Comparisons

Specs, prices and residual value for data center GPUs, side by side.

Every GPU on one table

GPUMemoryBandwidthFP8 TFLOPSFP4 TFLOPSPowerPrice per GPUResidual 2027Residual 2029
A100Ampere, 202080 GBHBM2e2 TB/s--400 W$5,400 (Used, typical realized sale)--
H100Hopper, Late 202280 GBHBM33.35 TB/s1,979-700 W$14,250 (Used, typical realized sale)11-19%2-3%
H200Hopper, Mid 2024141 GBHBM3e4.8 TB/s1,979-700 W$43,600 (Used 8-GPU node, per GPU)34-46%7-15%
MI300XCDNA 3, December 2023192 GBHBM35.3 TB/s2,614.9-750 W---
RTX PRO 6000Blackwell, March 2025 (announced)96 GBGDDR71.6 TB/s--600 W$12,500-$18,750 (New 8-GPU server, per GPU)--
B200Blackwell, Early 2025180 GBHBM3e8 TB/s4,5009,0001,000 W$45,000-$58,750 (New 8-GPU node, per GPU)40-54%16-26%
GB200Blackwell, Early 2025186 GBHBM3e8 TB/s5,00010,000----
B300Blackwell Ultra, Late 2025288 GBHBM3e8 TB/s4,50013,5001,400 W$50,000-$65,000 (New 8-GPU node, per GPU)52-64%28-39%
GB300Blackwell Ultra, Late 2025278 GBHBM3e8 TB/s5,00015,000-$111,000-$119,000 (Rack ballpark, per GPU)--

Dense Tensor Core TFLOPS. RTX PRO 6000 FP8 and FP4 not shown: NVIDIA does not say whether its figures are sparse. Residuals are our conservative band: what a used unit is expected to fetch, as a share of its original price. Each GPU links to its appraisal.

Sources: NVIDIA, American Compute, AMD, Managed GPUs (American Compute).

Comparisons

A100 vs H1003.2x the compute for 2.6x the used price; their resale prices are moving apart.
H200 vs H100Same compute, 76% more memory. Per GB of HBM, used nodes cost the same.
B200 vs H100A full generation apart. Per FP8 FLOP, a new B200 costs about the same as a used H100.
B200 vs H200For a 6-38% higher node price, the B200 brings 2.3x the FP8 and holds value better.
B300 vs B200More memory and FP4, no FP64. The B300 holds a higher residual band.
GB200 NVL72 vs HGX B200Same GPU, different system: a 72-GPU NVLink rack against an 8-GPU server.
GB300 NVL72 vs HGX B300Rack-scale costs roughly 1.5-2.1x per GPU; HGX goes into more data centers.
MI300X vs H100More memory and FLOPS per dollar on AMD; CUDA and resale comps on NVIDIA.
RTX PRO 6000 vs H100A PCIe inference card against an NVLink training GPU; half the server price.

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