Achronix Speedster FPGA
Vendor: Achronix
Category: FPGA Field-Programmable Gate Array
Architecture: Speedster7t
Introduction
Achronix Speedster7t FPGA uses 7nm process technology, optimized for high-bandwidth AI inference. It features built-in Machine Learning Processor (MLP) blocks supporting tensor computation acceleration, suitable for data center AI inference scenarios.
Specifications
| Model | Compute | Memory | Interface | TDP | Process |
|---|---|---|---|---|---|
| Speedster7t AC7t1500 | 80 TOPS (INT8) | External DDR4 | PCIe Gen4 x16 | 120W | 7nm (TSMC) |
| Speedster7t AC7t600 | 40 TOPS (INT8) | External DDR4 | PCIe Gen4 x8 | 60W | 7nm (TSMC) |
Official Website
Driver Downloads
Linux
Related Documentation
OS Support
| Windows | Linux | macOS | Android |
|---|---|---|---|
| ✅ | ✅ | ❌ | ❌ |
Version History
| Version | Release Date | Description |
|---|---|---|
| ACE 3.0 | 2024 | Full Speedster7t series support |
Performance Benchmarks
| Model | Task | Performance Metric |
|---|---|---|
| AC7t1500 | AI Inference | High-density FPGA AI acceleration |
| AC7t600 | Network Processing | High-speed data plane |
Pricing Information
| Model | Reference Price | Notes |
|---|---|---|
| AC7t1500 | Contact sales | High-end FPGA |
| AC7t600 | Contact sales | Mid-range FPGA |
Quick Setup
Linux / Windows
# Install Achronix ACE development tools
# Obtain from Achronix official
Code Examples
Achronix FPGA development uses ACE (Achronix CAD Environment) tools, supporting Verilog/SystemVerilog design and synthesis.
Architecture Highlights
- Speedster7t: High-performance standalone FPGA with integrated 2D high-bandwidth memory interface
- eFPGA IP: Achronix also offers embedded FPGA IP that can be integrated into ASIC SoCs
Model Compatibility
| Model/Framework | Support Status | Notes |
|---|---|---|
| Verilog/SV | ✅ Native | FPGA programming |
| Custom Logic | ✅ | FPGA core advantage |
| AI Inference | ⚠️ | Requires custom pipeline |
Related Products
If you are evaluating alternatives, the following products may also fit your scenario:
- AMD Alveo FPGA — AMD (Xilinx) (FPGA Field-Programmable Gate Array)
- Intel FPGA AI — Intel (Altera) (FPGA Field-Programmable Gate Array)
- NVIDIA GPU / CUDA — NVIDIA (GPU Graphics Processor)
- AMD ROCm / GPU — AMD (GPU Graphics Processor)
- Huawei Ascend — Huawei (NPU Neural Processing Unit)
- Intel Gaudi — Intel (ASIC dedicated accelerator)