FPGA-based · aerial-grade
AeroScale V1
AeroScale V1 puts large-language and vision-language models into autonomous drones, delivery platforms, and HAPS systems — within a sub-10W envelope so the model survives the battery, not the other way around. Built on the Invotet Unified Engine running in an FPGA fabric you can buy today — not a chip-down ASIC waiting on tape-out.
AeroScale V1
BF16 inference engine · PCIe interface · 8.4 GOPS/W power efficiency
Supports BF16, INT4, FP4 · Flash attention · Tensor parallelism · 8,192-entry hardware trace buffer
Headline figures
Throughput
38
GOPS
Power envelope
4.5
W
Operating range
−40 to +85
°C
Weight
24
g
Specifications
Everything that matters before integration.
Numbers are preliminary until the formal qualification report ships. For final values, request a datasheet — we will send the up-to-date document to your inbox the same day.
- AI throughput
- 38 GOPS (BF16)
- Memory
- 8 GB LPDDR5
- Storage
- 64 GB NVMe
- Host interface
- PCIe Gen 4 x4 / USB-C
Procurement
Request the datasheet.
Up-to-date AeroScale V1 datasheet, qualification report, and any ITAR letter you need — routed to your inbox same day.
Sales
Talk to the team.
Tell us your platform, the workload, and the integration target. We will scope sample units and the right SDK provisioning.