NVIDIA Jetson T5000 module
Top Jetson Thor production module, up to 2070 FP4 TFLOPS on Blackwell.
| GPU | NVIDIA Blackwell, 2560 CUDA cores, 96 Tensor Cores |
|---|---|
| Type | Production module |
| AI performance | Up to 2070 TFLOPS (FP4) |
NVIDIA Jetson T5000 module is built to order and priced per project (configuration, delivery, installation and support).
Check a model against our machines before you buy.
Pick the model and quantisation you plan to run. We'll show whether it fits in memory, how much room is left for context, and the throughput to expect. Estimates come from memory bandwidth and are replaced by our own bench figures where we have them.
Machine
Quantisation
Comfortable. 70 GB spare — room for 128k context, a second small model, or a RAG index in memory. Expect roughly 3.8 tok/s single-stream.
Machines that run this configuration
Weights 42.8 GB at 4.85 bits/param · KV cache 5.0 GB at 16k (fp16, approximate) · 10 GB reserved for OS and runtime. Speed is single-stream decode, memory-bound; prompt processing and batching behave differently. Or call an engineer on +44 7515 356 146.
The highest-performance Jetson Thor production module, for shipping humanoids, autonomous machines and multi-sensor edge systems. Modules need a carrier board; we can recommend one or source a complete enclosed system.
Workstation can supply it with JetPack flashed and tested, help you pick a carrier board and enclosure, and set up cameras, sensors and DeepStream or Isaac pipelines. For production we handle volume module supply, OTA update set-up and lifecycle planning. Support comes from our own UK engineers, and Trade members get free tech support on every order.
Priced on quote: tell us what you need and we will confirm price, availability and lead time.