GPU Specs Database

Full specifications for datacenter and workstation accelerators — memory, dense compute throughput, interconnect, power, and silicon. Sortable on every column, with dense and sparse figures kept separate so the comparisons stay honest.

Fastest FP16 (dense)
B300
2,250 TFLOPS
Most memory
B300
288 GB HBM3e
Widest bandwidth
B300
8,000 GB/s
Best TFLOPS per watt
B200
2.25 TFLOPS/W
34 of 34 GPUs
Arch
B300
NVIDIA
Blackwell288 GB8,000 GB/s2,2504,5001400 W1.61Specs
B200
NVIDIA
Blackwell192 GB8,000 GB/s2,2504,5001000 W2.25Specs
MI325X
AMD
CDNA 3256 GB6,000 GB/s1,307.42,614.91000 W1.31Specs
MI300X
AMD
CDNA 3192 GB5,300 GB/s1,307.42,614.9750 W1.74Specs
GH200 Grace Hopper
NVIDIA
Hopper144 GB4,900 GB/s989.51,9791000 W0.99Specs
H200 SXM
NVIDIA
Hopper141 GB4,800 GB/s989.51,979700 W1.41Specs
H100 SXM
NVIDIA
Hopper80 GB3,350 GB/s989.51,979700 W1.41Specs
H100 NVL
NVIDIA
Hopper94 GB3,900 GB/s8901,780400 W2.23Specs
H100 PCIe
NVIDIA
Hopper80 GB2,000 GB/s7561,513350 W2.16Specs
L40S
NVIDIA
Ada Lovelace48 GB864 GB/s362733350 W1.03Specs
A100 SXM 80GB
NVIDIA
Ampere80 GB2,039 GB/s312n/a400 W0.78Specs
A100 PCIe 80GB
NVIDIA
Ampere80 GB1,935 GB/s312n/a300 W1.04Specs
A100 PCIe 40GB
NVIDIAlegacy
Ampere40 GB1,555 GB/s312n/a250 W1.25Specs
RTX 5090
NVIDIA
Blackwell32 GB1,792 GB/s209.5838575 W0.36Specs
RTX 6000 Ada
NVIDIA
Ada Lovelace48 GB960 GB/s182728300 W0.61Specs
L40
NVIDIA
Ada Lovelace48 GB864 GB/s181362300 W0.60Specs
RTX 4090
NVIDIA
Ada Lovelace24 GB1,008 GB/s165.2660450 W0.37Specs
A30
NVIDIA
Ampere24 GB933 GB/s165n/a165 W1.00Specs
A6000
NVIDIA
Ampere48 GB768 GB/s154.8n/a300 W0.52Specs
A40
NVIDIA
Ampere48 GB696 GB/s149.7n/a300 W0.50Specs
V100 SXM2 32GB
NVIDIAlegacy
Volta32 GB900 GB/s125n/a300 W0.42Specs
A10G
NVIDIA
Ampere24 GB600 GB/s125n/a150 W0.83Specs
L4
NVIDIA
Ada Lovelace24 GB300 GB/s12124272 W1.68Specs
Tesla V100 PCIe 32GB
NVIDIAlegacy
Volta32 GB900 GB/s112n/a250 W0.45Specs
RTX 3090
NVIDIAlegacy
Ampere24 GB936 GB/s71n/a350 W0.20Specs
T4
NVIDIAlegacy
Turing16 GB320 GB/s65n/a70 W0.93Specs
Tesla P100 SXM2
NVIDIAlegacy
Pascal16 GB732 GB/s21.2n/a300 W0.07Specs
Rubin R100
NVIDIA
Rubin288 GB——n/a——Specs
Tesla K80
NVIDIAlegacy
Kepler24 GB480 GB/s—n/a300 W—Specs
Tesla M40
NVIDIAlegacy
Maxwell24 GB288 GB/s—n/a250 W—Specs
Tesla P40
NVIDIAlegacy
Pascal24 GB346 GB/s—n/a250 W—Specs
Tesla M2090
NVIDIAlegacy
Fermi6 GB177 GB/s—n/a225 W—Specs
Tesla C1060
NVIDIAlegacy
Tesla4 GB102 GB/s—n/a187 W—Specs
Tesla C870
NVIDIAlegacy
Tesla1 GB77 GB/s—n/a170 W—Specs

All TFLOPS figures are dense tensor throughput. Vendors often headline sparse numbers, which are 2× higher and only achievable on models with structured sparsity — most workloads will not see them. FP8 shows n/a for architectures predating hardware FP8 (Ampere and earlier).