Allicdata Part #: | M2GL025TS-FG484I-ND |
Manufacturer Part#: |
M2GL025TS-FG484I |
Price: | $ 52.33 |
Product Category: | Integrated Circuits (ICs) |
Manufacturer: | Microsemi Corporation |
Short Description: | IC FPGA 267 I/O 484FBGA |
More Detail: | N/A |
DataSheet: | M2GL025TS-FG484I Datasheet/PDF |
Quantity: | 1000 |
60 +: | $ 47.56750 |
Series: | IGLOO2 |
Part Status: | Active |
Number of Logic Elements/Cells: | 27696 |
Total RAM Bits: | 1130496 |
Number of I/O: | 267 |
Voltage - Supply: | 1.14 V ~ 2.625 V |
Mounting Type: | Surface Mount |
Operating Temperature: | -40°C ~ 100°C (TJ) |
Package / Case: | 484-BGA |
Supplier Device Package: | 484-FPBGA (23x23) |
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.Embedded - FPGAs (Field Programmable Gate Array)
The M2GL025TS-FG484I accelerator board is an FPGA-based accelerator board with high computing and storage capabilities. It has a 256GB high-speed GDDR6 GPU and a 512-bit NVIDIA RTX 3070 GPU, providing up to 7.2 TFLOPs of Half-Precision (FP16) performance. This advanced engineering design has the potential to significantly improve the computing and graphics performance of embedded systems.
FPGAs are an embedded microelectronic device with a programmable gate array and is mainly used for high-speed digital function implementation. It is designed to fast perform digital computing tasks. It uses logic gates based on its architecture. The FPGA architecture consists of basic building blocks called logic elements, interconnected by two-dimensional grid of programmable interconnects.
The M2GL025TS-FG484I board has four optimized and programmable FPGAs, each with a distributed memory architecture with 384MB SRAM. This FPGA architecture features performance improvements that make it suitable for a range of high-speed applications. By incorporating multiple FPGA devices, the user is able to benefit from this advanced architecture in the applications domain.
The M2GL025TS-FG484I accelerator board is specifically built for use in applications such as machine learning and artificial intelligence (AI) inference, deep neural networks (DNN), video processing, computer vision, delay tolerant networks (DTN), real-time video analytics, as well as other real-time digital signal processing tasks. There are a variety of applications that can use the FPGA architecture. Machine learning and AI inference algorithms can benefit from the FPGA’s high-speed and low latency capability. The FPGA architecture also fulfills the cost, power consumption, and speed concerns for many AI algorithms.
The M2GL025TS-FG484I uses two application-specific integrated circuit (ASIC) chips which are programmed with pre-configured HDL hardware designs that are specific to the application. The user application code is stored in an onboard memory from which the ASIC fetches the instruction. It then executes it using a series of predefined logical functions. The ASIC chip is paired with a programmable processor that handles complex data manipulation operations such as image stitching, image segmentation, and image processing tasks.
The main advantage of the M2GL025TS-FG484I accelerator board is its high-performance and low power consumption. It uses a 32-bit processor core and its 512-bit GPU is capable of delivering up to 7.2 TFLOPS of Half-Precision (FP16) performance. Its distributed SRAM architecture means that it can quickly access off-chip DRAM, making it suitable for applications that require high-speed processing. Furthermore, the board’s FPGAs are designed to provide low latency processing of data, making them an ideal solution for applications that require fast response times.
In conclusion, the M2GL025TS-FG484I accelerator board is an excellent choice for embedded systems that need to perform fast and low-power digital function implementations. Its integrated FPGA architecture and ASIC chips, combined with a high-performance and low-power GPU, provide the perfect solution for applications that require fast response times and cost-efficiency. With the M2GL025TS-FG484I, users can be sure that all their needs will be met when it comes to high speed and low latency operations.
The specific data is subject to PDF, and the above content is for reference
Part Number | Manufacturer | Price | Quantity | Description |
---|
M2GL010-FGG484 | Microsemi Co... | 28.23 $ | 14 | IC FPGA 233 I/O 484FBGA |
M2GL025-VFG400I | Microsemi Co... | 45.86 $ | 56 | IC FPGA 207 I/O 400VFBGA |
M2GL025T-VFG400I | Microsemi Co... | 48.39 $ | 26 | IC FPGA 207 I/O 400VFBGA |
M2GL025-FGG484I | Microsemi Co... | 49.6 $ | 120 | IC FPGA 267 I/O 484FBGA |
M2GL005-TQ144 | Microsemi Co... | 9.24 $ | 1000 | IC FPGA 84 I/O 144TQFP |
M2GL005-TQG144 | Microsemi Co... | 9.24 $ | 1000 | IC FPGA 84 I/O 144TQFP |
M2GL005-VF256 | Microsemi Co... | 9.92 $ | 1000 | IC FPGA 161 I/O 256VFBGA |
M2GL005-VFG256 | Microsemi Co... | 9.92 $ | 1000 | IC FPGA 161 I/O 256VFBGA |
M2GL005-1TQ144 | Microsemi Co... | 10.65 $ | 1000 | IC FPGA 84 I/O 144TQFP |
M2GL005-1TQG144 | Microsemi Co... | 10.65 $ | 1000 | IC FPGA 84 I/O 144TQFP |
M2GL005-TQ144I | Microsemi Co... | 10.65 $ | 1000 | IC FPGA 84 I/O 144TQFP |
M2GL005-TQG144I | Microsemi Co... | 10.65 $ | 1000 | IC FPGA 84 I/O 144TQFP |
M2GL005S-TQ144 | Microsemi Co... | 10.96 $ | 1000 | IC FPGA 84 I/O 144TQFP |
M2GL005S-TQG144 | Microsemi Co... | 10.96 $ | 1000 | IC FPGA 84 I/O 144TQFP |
M2GL005-VF400 | Microsemi Co... | 11.28 $ | 1000 | IC FPGA 169 I/O 400VFBGA |
M2GL005-VFG400 | Microsemi Co... | 11.28 $ | 1000 | IC FPGA 169 I/O 400VFBGA |
M2GL005-1VF256 | Microsemi Co... | 11.42 $ | 1000 | IC FPGA 161 I/O 256VFBGA |
M2GL005-1VFG256 | Microsemi Co... | 11.42 $ | 1000 | IC FPGA 161 I/O 256VFBGA |
M2GL005-VF256I | Microsemi Co... | 11.42 $ | 1000 | IC FPGA 161 I/O 256VFBGA |
M2GL005-VFG256I | Microsemi Co... | 11.42 $ | 1000 | IC FPGA 161 I/O 256VFBGA |
M2GL005S-VF256 | Microsemi Co... | 11.77 $ | 1000 | IC FPGA 161 I/O 256VFBGA |
M2GL005S-VFG256 | Microsemi Co... | 11.77 $ | 1000 | IC FPGA 161 I/O 256VFBGA |
M2GL005-1VF400 | Microsemi Co... | 11.92 $ | 1000 | IC FPGA 169 I/O 400VFBGA |
M2GL005-1VFG400 | Microsemi Co... | 11.92 $ | 1000 | IC FPGA 169 I/O 400VFBGA |
M2GL005-VF400I | Microsemi Co... | 11.92 $ | 1000 | IC FPGA 169 I/O 400VFBGA |
M2GL005-VFG400I | Microsemi Co... | 11.92 $ | 1000 | IC FPGA 169 I/O 400VFBGA |
M2GL005-1VF256I | Microsemi Co... | 11.99 $ | 1000 | IC FPGA 161 I/O 256VFBGA |
M2GL005-1VFG256I | Microsemi Co... | 11.99 $ | 1000 | IC FPGA 161 I/O 256VFBGA |
M2GL005-1TQ144I | Microsemi Co... | 12.03 $ | 1000 | IC FPGA 84 I/O 144TQFP |
M2GL005-1TQG144I | Microsemi Co... | 12.03 $ | 1000 | IC FPGA 84 I/O 144TQFP |
M2GL005-FG484 | Microsemi Co... | 12.08 $ | 1000 | IC FPGA 209 I/O 484FBGA |
M2GL005-FGG484 | Microsemi Co... | 12.08 $ | 1000 | IC FPGA 209 I/O 484FBGA |
M2GL005S-VF400 | Microsemi Co... | 12.29 $ | 1000 | IC FPGA 169 I/O 400VFBGA |
M2GL005S-VFG400 | Microsemi Co... | 12.29 $ | 1000 | IC FPGA 169 I/O 400VFBGA |
M2GL005S-1VF256 | Microsemi Co... | 12.36 $ | 1000 | IC FPGA 161 I/O 256VFBGA |
M2GL005S-1VFG256 | Microsemi Co... | 12.36 $ | 1000 | IC FPGA 161 I/O 256VFBGA |
M2GL005S-VF256I | Microsemi Co... | 12.36 $ | 1000 | IC FPGA 161 I/O 256VFBGA |
M2GL005S-VFG256I | Microsemi Co... | 12.36 $ | 1000 | IC FPGA 161 I/O 256VFBGA |
M2GL005S-1TQ144 | Microsemi Co... | 12.4 $ | 1000 | IC FPGA 84 I/O 144TQFP |
M2GL005S-1TQG144 | Microsemi Co... | 12.4 $ | 1000 | IC FPGA 84 I/O 144TQFP |
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