| MEMORY BANDWIDTH | 14,400 GB/s |
|---|---|
| FP8 | 4,000 TFLOPS |
| EXPECTED | 1 Oct 2028 |
Hardware index
| MEMORY BANDWIDTH | 9,600 GB/s |
|---|---|
| FP8 | 2,000 TFLOPS |
| EXPECTED | 1 Oct 2027 |
| EXPECTED | 1 Jul 2027 |
|---|
| MEMORY | 128 GB |
|---|---|
| EXPECTED | 1 Dec 2026 |
| MEMORY BANDWIDTH | 4,000 GB/s |
|---|---|
| FP8 | 1,000 TFLOPS |
| EXPECTED | 1 Oct 2026 |
| MEMORY | 288 GB |
|---|---|
| MEMORY BANDWIDTH | 22,000 GB/s |
| FP16/BF16 | 4,000 TFLOPS |
| FP8 | 17,500 TFLOPS |
| INT8 | 250 TOPS |
| RELEASED | 1 Jun 2026 |

Primarily used for ranking and recommendation (R&R) inference and training.
| MEMORY | 216 GB |
|---|---|
| MEMORY BANDWIDTH | 6,100 GB/s |
| FP16/BF16 | 600 TFLOPS |
| FP8 | 1,200 TFLOPS |
| TDP | 800 W |
| RELEASED | 11 Mar 2026 |

| MEMORY | 216 GB |
|---|---|
| MEMORY BANDWIDTH | 7,000 GB/s |
| FP16/BF16 | 1,268 TFLOPS |
| FP8 | 5,072 TFLOPS |
| TDP | 750 W |
| RELEASED | 26 Jan 2026 |

| FP16/BF16 | 671 TFLOPS |
|---|---|
| FP8 | 2,517 TFLOPS |
| TDP | 700 W |
| RELEASED | 2 Dec 2025 |

Google does not officially state TPUv7's TDP. In the blog post announcing TPUv7 , Google disclosed that TPUv7 is 29.3x more efficient than the TPUv2 in…
Google does not officially state TPUv7's TDP. In the blog post announcing TPUv7 , Google disclosed that TPUv7 is 29.3x more efficient than the TPUv2 in peak FLOP/s per TDP (measuring peak FLOP/s as either FP8 or bf16 FLOP/s when FP8 is not supported). TPUv2 does 46 TFLOP/s peak and has a TDP of 280 W. TPUv7 does 4614 TFLOP/s peak (FP8). So the TPUv7's TDP is (4614 TFLOP/s / 46 TFLOP/s) * 280 W / 29.3x efficiency = ~959 W. Note that this may be a slightly approximate figure due to rounding on Google's part. We round to 960 W.
| MEMORY | 192 GB |
|---|---|
| MEMORY BANDWIDTH | 7,370 GB/s |
| FP16/BF16 | 2,307 TFLOPS |
| FP8 | 4,614 TFLOPS |
| TDP | 960 W |
| RELEASED | 6 Nov 2025 |
| LAUNCH PRICE | $12,000 |
| MEMORY BANDWIDTH | 4,000 GB/s |
|---|---|
| FP16/BF16 | 900 TFLOPS |
| PROCESS | 6 nm (SMIC) |
| RELEASED | 1 Oct 2025 |

Individual GPUs are sometimes called Blackwell Ultra, but systems are referred to as GB300. GB300 is only available in systems containing two or more GPUs. Performance…
Individual GPUs are sometimes called Blackwell Ultra, but systems are referred to as GB300. GB300 is only available in systems containing two or more GPUs. Performance figures are per individual GPU, not per GB300 superchip. Performance figures are listed without sparsity.
| MEMORY | 287.5 GB |
|---|---|
| MEMORY BANDWIDTH | 8,000 GB/s |
| FP16/BF16 | 2,500 TFLOPS |
| FP8 | 5,000 TFLOPS |
| INT8 | 165 TOPS |
| TDP | 1,400 W |
| PROCESS | 4 nm (TSMC) |
| RELEASED | 22 Aug 2025 |
Blackwell Ultra in a single accelerator. Its 288 GB of fast HBM targets reasoning models, long-context inference and the largest training jobs.
| ARCHITECTURE | Blackwell Ultra |
|---|---|
| MEMORY | 288 GB HBM3e |
| BANDWIDTH | 8 TB/s |
| FORM FACTOR | SXM |
| INTERCONNECT | NVLink 5 |
| POWER | up to 1,400 W |

The air-cooled CDNA 4 option, pairing 288 GB of HBM3e with a lower platform power envelope than MI355X.
| ARCHITECTURE | CDNA 4 |
|---|---|
| MEMORY | 288 GB HBM3e |
| BANDWIDTH | 8 TB/s |
| FORM FACTOR | OAM |
| COOLING | air |
| POWER | up to 1,000 W |

AMD’s highest-power CDNA 4 accelerator, built for dense liquid-cooled systems and memory-heavy frontier AI workloads.
| ARCHITECTURE | CDNA 4 |
|---|---|
| MEMORY | 288 GB HBM3e |
| BANDWIDTH | 8 TB/s |
| FORM FACTOR | OAM |
| COOLING | liquid |
| POWER | up to 1,400 W |

The most powerful desktop GPU ever made. 96 GB of ECC GDDR7 swallows models a 5090 cannot, which makes it the workstation card for serious local…
The most powerful desktop GPU ever made. 96 GB of ECC GDDR7 swallows models a 5090 cannot, which makes it the workstation card for serious local AI.
| ARCHITECTURE | Blackwell |
|---|---|
| CUDA CORES | 24,064 |
| MEMORY | 96 GB GDDR7 with ECC |
| BANDWIDTH | 1.79 TB/s |
| AI COMPUTE | 4,000 TOPS (FP4) |
| SINGLE PRECISION | 125 TFLOPS |
| POWER | 600 W (Workstation), 300 W (Max-Q) |
| BUS | PCIe 5.0 x16 |

The rack that started the AI factory era. 72 Blackwell GPUs and 36 Grace CPUs in one NVLink domain, the deployment unit behind most 2024 to…
The rack that started the AI factory era. 72 Blackwell GPUs and 36 Grace CPUs in one NVLink domain, the deployment unit behind most 2024 to 2025 frontier clusters.
| GPUS | 72x NVIDIA B200 (Blackwell) |
|---|---|
| CPUS | 36x NVIDIA Grace |
| FP4 COMPUTE | 1.44 EFLOPS (sparse) |
| HBM3E | about 13.5 TB |
| NVLINK DOMAIN | 130 TB/s |
| COOLING | liquid, full rack |
| DEPLOYMENT | 120 kW class per rack |

The humanoid robot brain. Blackwell compute and 128 GB in an edge module, already adopted by the robotics companies that matter.
| AI COMPUTE | 2,070 TFLOPS (FP4, sparse) |
|---|---|
| GPU | 2560-core Blackwell, 5th-gen Tensor |
| CPU | 14-core Arm Neoverse V3AE |
| MEMORY | 128 GB LPDDR5X, 273 GB/s |
| STORAGE | 1 TB NVMe (dev kit) |
| POWER | 40 W to 130 W |
| SOFTWARE | JetPack, Isaac, Metropolis |

The Blackwell Ultra baseboard OEMs build flagship servers around. Eight GPUs and 2.3 TB of HBM3e per system, the building block of current-gen clusters.
| GPUS | 8x NVIDIA B300 (Blackwell Ultra) SXM |
|---|---|
| TOTAL HBM3E | 2.3 TB |
| NVLINK | 5th gen + NVSwitch |
| FP4 COMPUTE | 100+ PFLOPS class per system |
| HOST | dual Xeon or EPYC per OEM chassis |
| COOLING | air or liquid per chassis |
| POWER | about 14 kW per system |

The current top of the stack. One liquid-cooled rack acts as a single giant GPU: 72 Blackwell Ultra GPUs and 36 Grace CPUs on one NVLink…
The current top of the stack. One liquid-cooled rack acts as a single giant GPU: 72 Blackwell Ultra GPUs and 36 Grace CPUs on one NVLink domain, built for reasoning models and AI factories.
| GPUS | 72x NVIDIA Blackwell Ultra |
|---|---|
| CPUS | 36x NVIDIA Grace |
| FP4 COMPUTE | 1.1 EFLOPS (dense) |
| HBM3E | about 21 TB |
| FAST MEMORY | about 37 TB with Grace LPDDR5X |
| NVLINK DOMAIN | 130 TB/s |
| NETWORKING | Quantum-X800 InfiniBand / Spectrum-X |
| COOLING | liquid, full rack |
| POWER | facility class, plan for 120 kW+ per rack |

The card every local LLM build is measured against. 32 GB of GDDR7 runs 70B-class quantized models on a desk, no datacenter required.
| ARCHITECTURE | Blackwell |
|---|---|
| CUDA CORES | 21,760 |
| MEMORY | 32 GB GDDR7 |
| BANDWIDTH | 1.79 TB/s |
| AI COMPUTE | 3,352 TOPS (FP4) |
| POWER | 575 W |
| BUS | PCIe 5.0 x16 |

A petaflop of AI compute that fits in one hand. 128 GB of unified memory runs 200B-parameter models locally, and two units pair for 405B class.
| SUPERCHIP | NVIDIA GB10 Grace Blackwell |
|---|---|
| AI COMPUTE | 1 PFLOP (FP4) |
| UNIFIED MEMORY | 128 GB LPDDR5x |
| BANDWIDTH | 273 GB/s |
| CPU | 20-core Arm |
| NETWORKING | ConnectX-7, 2-unit pairing |
| STORAGE | up to 4 TB NVMe |
| POWER | wall outlet class |

Amazon's answer to GPU scarcity. Anthropic trains on clusters of these; you rent them as Trn2 instances rather than buying cards.
| COMPUTE | about 1.3 PFLOPS FP8 per chip |
|---|---|
| MEMORY | 96 GB HBM3 |
| INSTANCE | Trn2 packs 16 chips, 20.8 PFLOPS FP8 |
| SCALE | UltraServer links 64 chips |
| AVAILABILITY | AWS only |