Chip comparison
NVIDIA Jetson AGX Thor vs Tenstorrent Blackhole
Side-by-side specs
Straight from each vendor's datasheet. Winner in bold: higher throughput, memory, or transistor count; lower power draw or price. Sparse (2:4) throughput roughly doubles the FP8/INT8 numbers shown.
| Field | NVIDIA Jetson AGX Thor | Tenstorrent Blackhole |
|---|---|---|
| Process node | TSMC 4NP | TSMC N6 |
| TDP | 130 W | 300 W |
| Memory | 128 GB LPDDR5X | 32 GB GDDR6 |
| Memory bandwidth | 273 GB/s | 512 GB/s |
| FP16 (dense) | — | 745 TFLOPS |
| FP8 (dense) | 2,070 TFLOPS | — |
| INT8 (dense) | 2,070 TOPS | 2,980 TOPS |
| Form factor | Module (AGX Thor) | PCIe |
| Announced | 2024-03-18 | 2024-07-01 |
| Released | 2025-08-01 | 2025-01-01 |
Robots running Tenstorrent Blackhole
No robots publicly running it yet.
Data centers with NVIDIA Jetson AGX Thor
No data centers publicly running it yet.
Data centers with Tenstorrent Blackhole
No data centers publicly running it yet.
Common questions
NVIDIA Jetson AGX Thor vs Tenstorrent Blackhole: which is faster for training?
NVIDIA Jetson AGX Thor has 2.78x the dense FP16/BF16 throughput of the other (NVIDIA Jetson AGX Thor: 2,070 TFLOPS; Tenstorrent Blackhole: 745 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
NVIDIA Jetson AGX Thor vs Tenstorrent Blackhole: which has more memory?
NVIDIA Jetson AGX Thor carries more HBM (NVIDIA Jetson AGX Thor: 128 GB LPDDR5X; Tenstorrent Blackhole: 32 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
NVIDIA Jetson AGX Thor vs Tenstorrent Blackhole: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: NVIDIA Jetson AGX Thor 15.92 (2,070 ÷ 130 W); Tenstorrent Blackhole 2.48 (745 ÷ 300 W). NVIDIA Jetson AGX Thor wins at the die level; system-level efficiency also depends on cooling and interconnect.
NVIDIA Jetson AGX Thor vs Tenstorrent Blackhole: which is more widely used?
NVIDIA Jetson AGX Thor: 11 robots and 0 data centers publicly running it. Tenstorrent Blackhole: 0 robots and 0 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · NVIDIA Jetson AGX Thor full page · Tenstorrent Blackhole full page.