17 of 35 tracked accelerators are restricted for China
Dense FP16/BF16 throughput and memory bandwidth for AI accelerators, alongside regulatory thresholds and recorded China export status.
2 corrections · latest Aug 11, 2026
Control actions in this dataset, 2022–2026.
20 of 23 plotted chips meet the 4,800 TPP threshold at 16 bits.
3 chips report interconnect bandwidth below the October 2022 criterion of 600 GB/s (A800, H800 SXM5, H800 PCIe). Interconnect is a separate measure from the memory bandwidth on the vertical axis; the October 2023 update dropped the criterion.
Dense FP16/BF16 compute and memory bandwidth, on logarithmic axes. Concentric circles share the same values on both axes; arrows run from a parent chip to its compliance variant.
The horizontal line marks 6,500 GB/s memory bandwidth, cited in the classification entries for B100, B200. The vertical line translates ECCN 3A090.a.1’s 4,800 TPP threshold into dense 16-bit throughput (300 TFLOPS, 88 FR 73458).
The left margin holds 6 chips with memory bandwidth but no dense FP16/BF16 specification; 5 have FP8 specifications. The bottom margin holds 2 with compute but no memory bandwidth (H800 SXM5, H20E (HBM3E refresh)). 4 chips cannot be plotted. B30A, Huawei Ascend 910D have neither specification. Cerebras WSE-3 reports wafer-scale compute and on-wafer SRAM bandwidth; Tenstorrent Wormhole n300 reports two-chip board totals. Those figures are excluded from the per-die comparison plotted here.
7 of the 8 tracked accelerators at or above 6,500 GB/s memory bandwidth are recorded as restricted for China. Among the chips plotted here, the highest published dense FP16/BF16 throughput for a Chinese domestic accelerator is 900 TFLOPS, compared with 4,000 TFLOPS across all vendors.
6 of the 35 tracked accelerators were designed as compliance variants of existing chips. A800 / A100 SXM and H800 PCIe / H100 PCIe overlap because each pair publishes the same compute and memory bandwidth. For example, H20 SXM has 148 dense TFLOPS compared with 989.5 for H100 SXM5. Its memory bandwidth rose from 3,350 to 4,000 GB/s.
Chart data
| Chip | Vendor | China status | Dense FP16/BF16 | Mem BW |
|---|---|---|---|---|
| NVIDIA Rubin GPU ~ | NVIDIA | Restricted | 4,000 | 22,000 |
| AMD Instinct MI355X | AMD | Restricted | 2,516.6 | 8,000 |
| MI350X | AMD | Restricted | 2,309.6 | 8,000 |
| B200 | NVIDIA | Restricted | 2,250 | 8,000 |
| Gaudi 3 | Intel | Restricted | 1,835 | 3,700 |
| B100 | NVIDIA | Restricted | 1,750 | 8,000 |
| MI300X | AMD | Restricted | 1,307.4 | 5,300 |
| MI325X | AMD | Case-by-Case Review | 1,307.4 | 6,000 |
| H100 SXM5 | NVIDIA | Restricted | 989.5 | 3,350 |
| H800 SXM5 ~ | NVIDIA | Restricted | 989.5 | — |
| H200 SXM | NVIDIA | Case-by-Case Review | 989.5 | 4,800 |
| Google TPU v6e (Trillium) | Unassessed | 918 | 1,638 | |
| Huawei Ascend 920 ~ | Huawei | Domestic (China) | 900 | 4,000 |
| H100 NVL | NVIDIA | Restricted | 835.5 | 3,938 |
| Huawei Ascend 910C ~ | Huawei | Domestic (China) | 780 | 3,200 |
| H100 PCIe | NVIDIA | Restricted | 756 | 2,000 |
| H800 PCIe | NVIDIA | Restricted | 756 | 2,000 |
| Google TPU v5p | Unassessed | 459 | 2,575 | |
| Ascend 910B ~ | Huawei | Domestic (China) | 375 | 1,600 |
| A100 SXM | NVIDIA | Restricted | 312 | 2,039 |
| A800 | NVIDIA | Restricted | 312 | 2,039 |
| Google TPU v4 | Unassessed | 275 | 1,200 | |
| TPU v5e | Unassessed | 197 | 819 | |
| H20 SXM ~ | NVIDIA | Case-by-Case Review | 148 | 4,000 |
| H20E (HBM3E refresh) ~ | NVIDIA | Unassessed | 148 | — |
| AMD Instinct MI400 ~ | AMD | Restricted | — | 19,600 |
| AWS Trainium3 ~ | Amazon | Unassessed | — | 4,900 |
| B30A ~ | NVIDIA | Designed Compliant | — | — |
| Gaudi 2 ~ | Intel | Restricted | — | 2,450 |
| Google TPU v7 (Ironwood) | Unassessed | — | 7,370 | |
| Huawei Ascend 910D ~ | Huawei | Domestic (China) | — | — |
| NVIDIA B300 | NVIDIA | Restricted | — | 8,000 |
| Tenstorrent Blackhole p150 | Tenstorrent | Unassessed | — | 512 |
| Cerebras WSE-3 · Wafer-scale system; not plotted | Cerebras | Unassessed | — | 21,000,000 |
| Tenstorrent Wormhole n300 · Two-chip board totals; not plotted | Tenstorrent | Unassessed | 131 | 576 |
ReadingDense FP16/BF16 compute is in TFLOPS; memory bandwidth is in GB/s. Board and wafer-scale totals appear last, outside the per-chip throughput ordering.
Explore a different TPP threshold
Accelerators with a calculable TPP meet or exceed this threshold.
Accelerators above the threshold with a recorded China status other than “Restricted” (ringed) — Blackhole p150 (unassessed), Ascend 910B (domestic (china)), TPU v5p (unassessed), Ascend 910C (domestic (china)), B30A (designed compliant), Ascend 920 (domestic (china)) and 5 more.
Nearest below the line: TPU v4 at TPP 4,400 (8.3% below the parameter). Nearest above: A100 SXM at TPP 4,992 (4% above the parameter).
TPP uses dense throughput at each chip’s highest published basis under ECCN 3A090 (88 FR 73458); the default threshold is 4,800. Board totals and peaks without a verified dense basis are excluded.
TPP could not be calculated for Gaudi 2, Cerebras WSE-3, Tenstorrent Wormhole n300, Huawei Ascend 910D from the available specifications. ECCN 3A090.a.2 also covers TPP ≥ 1,600 with performance density ≥ 5.92. This calculation requires applicable die area, which is unavailable in this dataset. Chips below 4,800 TPP may therefore still meet that criterion.
Accelerator specifications and export status
35 accelerators · 12 have estimated specifications| Memory | Process | |||||
|---|---|---|---|---|---|---|
| NVIDIA Rubin GPU | NVIDIA | 4,000 | 22,000 | 288 GB HBM4 | — | Restricted |
| AMD Instinct MI355X | AMD | 2,516.6 | 8,000 | 288 GB HBM3E | TSMC N3P + N6 | Restricted |
| MI350X | AMD | 2,309.6 | 8,000 | 288 GB HBM3E | TSMC N3P + N6 | Restricted |
| B200 | NVIDIA | 2,250 | 8,000 | 192 GB HBM3E | TSMC 4NP | Restricted |
| Gaudi 3 | Intel | 1,835 | 3,700 | 128 GB HBM2e | TSMC 5nm | Restricted |
| B100 | NVIDIA | 1,750 | 8,000 | 192 GB HBM3E | TSMC 4NP | Restricted |
| MI300X | AMD | 1,307.4 | 5,300 | 192 GB HBM3 | TSMC 5nm/6nm | Restricted |
| H100 SXM5 | NVIDIA | 989.5 | 3,350 | 80 GB HBM3 | TSMC 4N | Restricted |
| H800 SXM5 variant | NVIDIA | 989.5 | — | 80 GB HBM3 | TSMC 4N | Restricted |
| H100 NVL | NVIDIA | 835.5 | 3,938 | 94 GB HBM3 | TSMC 4N | Restricted |
| H100 PCIe | NVIDIA | 756 | 2,000 | 80 GB HBM2e | TSMC 4N | Restricted |
| H800 PCIe variant | NVIDIA | 756 | 2,000 | 80 GB HBM2e | TSMC 4N | Restricted |
| A100 SXM | NVIDIA | 312 | 2,039 | 80 GB HBM2e | TSMC 7nm | Restricted |
| A800 variant | NVIDIA | 312 | 2,039 | 80 GB HBM2e | TSMC 7nm | Restricted |
| AMD Instinct MI400 | AMD | — | 19,600 | 432 GB HBM4 | — | Restricted |
| Gaudi 2 | Intel | — | 2,450 | 96 GB HBM2e | TSMC 7nm | Restricted |
| NVIDIA B300 | NVIDIA | — | 8,000 | 288 GB HBM3E | TSMC N4 | Restricted |
FP16 dense— FP16 sparse— BF16 dense— TF32 dense— TF32 sparse— FP8 dense5,000 TFLOPS FP8 sparse10,000 TFLOPS FP4 dense15,000 TFLOPS FP4 sparse20,000 TFLOPS INT8— Memory288 GB HBM3E Memory bandwidth8,000 GB/s Interconnect bandwidth— Thermal design power1,400 W Process nodeTSMC N4 ArchitectureBlackwell Ultra Compliance variant of— Total Processing Performance60,000 (FP4 × bit-length; ≈12.5× the 3A090.a parameter) Regulatory basis Exceeds all BIS advanced computing thresholds (ECCN 3A090/4A090) Conditions None recorded. Source Primary source NVIDIA Technical Blog "Inside NVIDIA Blackwell Ultra" + GB300 NVL72 product page — open Notes NVIDIA reports 15 dense and 20 sparse NVFP4 PFLOPS per chip, alongside 5 dense and 10 sparse FP8 PFLOPS. The FP4 sparse-to-dense ratio is therefore 1.33×; applying the usual 2× multiplier would overstate sparse throughput. B300 increases dense FP4 throughput as well as memory capacity relative to B200. Recorded deployments This accelerator is not named in the GPU inventories held for 9 facilities. Country access Covered in 3 of the 26 country access profiles — 1 available (United Arab Emirates), 1 case-by-case (Saudi Arabia), 1 restricted (China); see country access profiles. | ||||||
| MI325X | AMD | 1,307.4 | 6,000 | 256 GB HBM3E | TSMC 5nm/6nm | Case-by-Case Review |
| H200 SXM | NVIDIA | 989.5 | 4,800 | 141 GB HBM3E | TSMC 4N | Case-by-Case Review |
| H20 SXM variant | NVIDIA | 148 | 4,000 | 96 GB HBM3 | TSMC 4N | Case-by-Case Review |
| B30A variant | NVIDIA | — | — | 144 GB HBM3E | TSMC (node unconfirmed) | Designed Compliant |
| Huawei Ascend 920 | Huawei | 900 | 4,000 | — | SMIC N+3 (6nm-class) | Domestic (China) |
| Huawei Ascend 910C | Huawei | 780 | 3,200 | 128 GB HBM | SMIC N+2 (~7nm class, 2nd-gen) | Domestic (China) |
| Ascend 910B | Huawei | 375 | 1,600 | 64 GB HBM2e | SMIC N+2 (~7nm class, 2nd-gen) | Domestic (China) |
| Huawei Ascend 910D | Huawei | — | — | — | 5nm | Domestic (China) |
| Google TPU v6e (Trillium) | 918 | 1,638 | 32 GB HBM | — | Unassessed | |
| Google TPU v5p | 459 | 2,575 | 95 GB HBM2e | — | Unassessed | |
| Google TPU v4 | 275 | 1,200 | 32 GB HBM2 | 7nm | Unassessed | |
| TPU v5e | 197 | 819 | 16 GB HBM2e | — | Unassessed | |
| H20E (HBM3E refresh) variant | NVIDIA | 148 | — | 144 GB HBM3E | TSMC 4N | Unassessed |
| AWS Trainium3 | Amazon | — | 4,900 | 144 GB HBM3E | TSMC N3 | Unassessed |
| Cerebras WSE-3 | Cerebras | — | 21,000,000 † | 44 GB On-chip SRAM | TSMC 5nm | Unassessed |
| Google TPU v7 (Ironwood) | — | 7,370 | 192 GB HBM3E | — | Unassessed | |
| Tenstorrent Blackhole p150 | Tenstorrent | — | 512 | 32 GB GDDR6 | — | Unassessed |
| Tenstorrent Wormhole n300 | Tenstorrent | 131 † | 576 † | 24 GB GDDR6 | — | Unassessed |
†Values marked † are excluded from the per-chip ranking.
Chip families and compliance variants
Comparison 1 · NVIDIA Ampere
| Measure | From | To | Unit |
|---|---|---|---|
| Interconnect | 600 | 400 | GB/s |
The later model is recorded as a compliance variant of the earlier model.
Families tracked, 35 parts in all; the longest lane is NVIDIA Hopper with 8 models.
Compliance variants designed to meet export-control thresholds. Arcs connect variants to their parent chips across intervening models.
Adjacent model pairs with different recorded China export statuses.
Chips newly restricted by one of the listed actions; the year appears below each chip.
NVIDIA Blackwell NVIDIA
NVIDIA Rubin NVIDIA
AMD Instinct AMD
Huawei Ascend Huawei
Google TPU Google
AWS Trainium Amazon
Cerebras Wafer-Scale Engine Cerebras
Tenstorrent Tenstorrent
Control rules and policy changes
2022-10-21October 2022 Advanced Computing Rule87 FR 62186
Compute performance (TFLOPS) and interconnect bandwidth
ECCN 3A090 combined an aggregate bidirectional transfer rate of at least 600 GB/s to or from other ICs, excluding volatile memories, with compute criteria equivalent to at least 4,800 bits × TOPS. Both bandwidth and compute conditions had to be met.
Oct 2022 interconnect threshold (600 GB/s) — 600 GB/s
Newly restricted: A100 SXM, H100 SXM5.
2023-11-17October 2023 Advanced Computing Update88 FR 73458
Total Processing Performance (TPP): 2 × MacTOPS × bit-length, summed across processing units
Introduced the TPP metric — dense throughput × bit-length of the operation, evaluated at the highest value across supported bit-lengths, dense matrices only. Closed the A800/H800 interconnect-reduction loophole. Also broadened end-use controls. 3A090.a also has a second leg (TPP ≥ 1,600 with performance density ≥ 5.92) that requires applicable die area, which no record here publishes.
ECCN 3A090.a — 4,800 TPP (2 × MacTOPS × bit-length; verified against 88 FR 73458 and the current CCL)
Newly restricted: A800, H800 SXM5, H800 PCIe.
2024-12-02December 2024 Expansion89 FR 96790
HBM memory bandwidth density
Added ECCN 3A090.c for HBM above 2 GB/s/mm² of memory bandwidth density, calculated from package or stack bandwidth and area. Certain co-packaged HBM-and-logic ICs whose dominant function is processing are excluded. The rule took effect December 2; compliance with the HBM provisions began December 31, 2024.
No newly restricted chips are recorded here for this action.
2025-04-09April 2025 H20 License RequirementNVIDIA Form 8-K
No new threshold metric. License-required determination on the previously-compliant-by-design H20.
NVIDIA reported an April 9 government notice requiring licenses for H20 and other ICs meeting specified H20 bandwidth characteristics. It covered exports to China, including Hong Kong and Macau, D:5 countries, and companies headquartered or with an ultimate parent there. NVIDIA disclosed the notice on April 15.
Newly restricted: H20 SXM.
2025-07-14July 2025 H20 Licensing AnnouncementNVIDIA announcementNVIDIA August 2025 filing
Announcement of expected licensing; no technical threshold change.
NVIDIA announced assurances that licenses would be granted. Its August 2025 filing later confirmed licenses for selected H20 customers, and described a 15% revenue-share expectation from U.S. officials with no codifying regulation at that time.
No newly restricted chips are recorded here for this action.
2026-01-15January 2026 License Review Policy Revision91 FR 1684
Conditional case-by-case licensing pathway for H200-class chips.
Provides case-by-case review for qualifying US exports to China or Macau below 21,000 TPP and 6,500 GB/s total DRAM bandwidth. H200 and MI325X are examples. Approval depends on the rule’s supply, aggregate-TPP, end-use, security and testing conditions.
No newly restricted chips are recorded here for this action.
Changes within each family
- NVIDIA Ampere NVIDIA
- A800 reduced A100 interconnect bandwidth while retaining its compute throughput. The October 2023 revision removed interconnect bandwidth as a control parameter and restricted A800.
- NVIDIA Hopper NVIDIA
- H800 reduced interconnect bandwidth; H20 instead reduced compute while retaining substantial memory and interconnect bandwidth. The policy history includes restrictions on H800, a separate H20 licensing requirement and conditional case-by-case review for H200. Model details distinguish these actions and their dates.
- NVIDIA Blackwell NVIDIA
- B100 and B200 differ in power and throughput. B300 Blackwell Ultra raises dense FP4 throughput and memory capacity; B30A was reported as a proposed single-die variant for China, with specifications that remain estimates.
- NVIDIA Rubin NVIDIA
- Rubin GPU preliminary individual-GPU specifications: 35 PFLOPS dense NVFP4 training, 17.5 PFLOPS dense FP8/FP6 training, 4 PFLOPS dense FP16/BF16, 288 GB HBM4 at 22 TB/s, and 3.6 TB/s NVLink. NVIDIA marks the figures as up to and subject to change.
- AMD Instinct AMD
- MI325X expands memory relative to MI300X. The CDNA 4 MI350X and MI355X differ in cooling and throughput: MI350X is air-cooled, MI355X liquid-cooled. Their datasheets distinguish dense from sparse performance; the table uses dense values. MI400 specifications remain estimates from AMD’s June 2025 announcement.
- Huawei Ascend Huawei
- The 910B entry represents CSET’s 910B2 variant. The 910C estimate differs from Epoch AI’s reported throughput; 910D lacks numerical compute specifications here. The cited 920 report describes a projected launch. These differences in evidence limit comparisons across the family.
- Intel Gaudi Intel
- Gaudi 2 and Gaudi 3 use Ethernet interconnects. Gaudi 3 combines TSMC N5 compute dies with Intel EMIB packaging. Its OAM and PCIe variants have different power ratings; this table represents the OAM variant.
- Google TPU Google
- TPU v5e targets efficiency; v5p expands memory and interconnect bandwidth for training. Trillium and Ironwood increase compute throughput, with Ironwood reported at FP8. TPU v4’s recorded power is a measured mean; per-chip power is unavailable here for Ironwood.
- AWS Trainium Amazon
- Trainium3 powers EC2 Trn3 UltraServers, which AWS announced as generally available in December 2025. Access is offered through AWS services. Per-chip power is not supplied in the cited announcement.
- Cerebras Wafer-Scale Engine Cerebras
- WSE-3 uses wafer-scale integration and on-wafer SRAM. Its wafer-wide compute and bandwidth figures require separate treatment from per-GPU specifications.
- Tenstorrent Tenstorrent
- Wormhole n300 is a dual-ASIC PCIe card. Blackhole p150 uses the second-generation Tensix architecture with Ethernet scale-out. Its published compute figure uses BLOCKFP8; no dense FP16/BF16 figure is held here.
How a chip is classified
Under the October 2023 Advanced Computing Update, TPP is 2 × MacTOPS × bit-length, summed across processing units (88 FR 73458). For dense FP16, this is 16 times the published TFLOPS. The calculation uses the highest TPP available across each chip’s published bit-lengths, and each result is compared with the ECCN 3A090.a threshold of 4,800. Licensing also depends on the transaction and the other applicable controls.
9 of the 35 accelerators have no dense FP16/BF16 specification in this dataset; other published precisions can still support a TPP calculation. TPP cannot be evaluated for 4 chips, which publish no dense per-IC figure.
6 accelerators are offered through Google Cloud or AWS, and the cited product documentation classifies none of them for China export. 4 have a dense-FP16/BF16-based TPP above the H20 SXM’s 2,368, the lowest such reading among chips newly restricted by the actions listed here.
For restrictions on semiconductor manufacturing equipment, see supply-chain chokepoints.