The FPGA Revolution
Turning softwares into hardware and making them turing-incomplete.
Unlocking the Future
Vaaman introduces you to FPGA, a reconfigurable hardware that acts like software
FPGA Power
Experience a computing revolution where hardware becomes as flexible as software
The FPGA Revolution
Turning softwares into hardware and making them turing-incomplete.
Unlocking the Future
Vaaman introduces you to FPGA, a reconfigurable hardware that acts like software
FPGA Power
Experience a computing revolution where hardware becomes as flexible as software
The FPGA Revolution
Turning softwares into hardware and making them turing-incomplete.
Unlocking the Future
Vaaman introduces you to FPGA, a reconfigurable hardware that acts like software
FPGA Power
Experience a computing revolution where hardware becomes as flexible as software
Why FPGA Matters
Imagine a world with limitless possibilities, where you design your computing environment.
Vicharak's Mission
We make FPGA technology accessible, bridging the gap between hardware and software.
VAAMAN is a high-performance edge computing board, featuring a six-core ARM CPU and an FPGA with 112,128 logic cells. Its unique design makes it ideal
VAAMAN is a high-performance edge computing board, featuring a six-core ARM CPU and an FPGA with 112,128 logic cells. Its unique design makes it ideal for addressing many challenges unmet by current products. With a 300-MBps link between FPGA and CPU, Vaaman is optimized for hardware acceleration and excels at parallel computing. Vaaman’s versatility extends to its comprehensive range of interfaces, including PCI, HDMI, USB, MIPI, audio, Ethernet, Wi-Fi, Bluetooth, BLE, LVDS, and GPIOs.
Vaaman accelerates your most demanding edge-computing scenarios.
Overcome Challenges With Parallel Processing
Vaaman stands at the forefront of Edge AI and ML acceleration, providing a dynamic platform for groundbreaking applications. We are currently developing a custom platform called "Gati," which will enable custom end-to-end solutions, and enable convolutional neural networks (CNN) exclusively on Vaaman. By mapping these advanced algorithms to the FPGA, the CPU is left free to handle other critical tasks, which improves overall performance.
Object Classification and Detection
Vaaman excels at object classification tasks, leveraging FPGA parallel processing to swiftly categorize and identify objects in real time.
Edge Machine Vision
Vaaman transforms machine vision at the edge, accelerating the processing of visual data for applications like quality control, defect detection, and industrial automation.
Cryptographic Algorithms
Vaaman processes advanced cryptographic algorithms efficiently thanks to the parallel nature of Vaaman. FPGAs frequently outperform GPUs when it comes to cryptographic acceleration.
Video and Image Decoders
Real-time video and image processing benefit from Vaaman's parallel task handling and high-speed performance with consistent latency. Vaaman's reconfigurability allows us to deploy more efficient encoders and decoders.
Click the button to access detailed documentation and get the most out of Vaaman!
Specification
STORAGE
EMMC
16GB/32GB/128GB High-Speed eMMC
MICROSD Card
MicroSD (TF) Card Slot
PCIE
PCIE for extended SSD
MEMORY
2GB LPDDR4-3200 SDRAM
AUDIO
3.5mm jack with mic
WIRELESS
Integrated WiFi Combo Module (6222B-SRC)
WiFi 2.4G+5G WiFi 2T2R
BT 5.0
40P GPIO
40 Pin GPIOs with PMOD
USB
1 x
USB3.0 Type-C
1 x
USB3.0
2 x
USB2.0 HOST
DISPLAY
HDMI 2.0 . micro HDMI 2.0 up to 4k@60Hz
MIPI DSI 2 lanes via FPC connector
DisplayPort 1.2 over Type-C
ETHERNET
10/100/1000Mbps Ethernet (Realtek RTL8211E)
PCIe 2.1x4
PCIe Interface via FPC connector
CAMERA
MIPI CSI 2 lanes via FPC connector
support up to 800MP camera
Technical specs
Dimensions & Weight
85 x 85 mm
Final weight and height TBD
SOC
Rockchip RK3399 (Dual Cortex-A72 + Quad Cortex-A53)
Mali-T864 GPU, OpenGL ES1.1/2.0/3.0/3.1, OpenCL, DX11
2 GB or 4 GB of LPDDR4 RAM
Power
18-W USB Type-C PD
Storage
64-GB eMMC built-in
PCIe
PCIe 2.1 (4 full-duplex lanes at 20 Gbps)
Real-Time Clock
RTC support via built-in battery interface
FPGA
Efinix Trion T120
Logic Elements: 112,128
Embedded Memory: 5,407 Kb
Embedded Memory Blocks (5 Kb each): 1,056
Embedded Multipliers: 320 (18x18 bit)
512 MB or 1 GB of DDR3L dedicated RAM, x32 PHY with memory controller hard IP, 25.6 Gbps aggregate bandwidth
Supports 1.8, 2.5, and 3.3-V single-ended I/O standards and interfaces
Up to 16 PLL-generated global clock signals
FPGA
Interface Blocks
GPIO
PLL
LVDS 800 Mbps per lane with up to 20 TX pairs and 20 RX pairs
MIPI DPHY with CSI-2 controller hard IP, 1.5 Gbps per lane
Direct CSI-2 connectors
Ports
2x USB 2.0 Type-A
1x USB 3.0 Type-A
1x HDMI 2.0 (Micro), Supports maximum 4K @ 60 Hz display
1x MIPI-DSI, Supports 2560x1600 @ 60 fps output with dual channel
1x USB Type-C DP, Supports maximum 4K @ 60 Hz display
1x MIPI-CSI, 2 lanes via FPC connector, support up to 800 MB/s bandwidth
3.5 mm jack with mic
Gigabit ethernet (Realtek RTL8211E)
MicroSD
I/O
40-pin GPIO header: supports one 12-pin PMOD and two LVDS lanes or 25 GPIOs
1x UART
2x SPI bus
2x I²C bus
1x PCM/I²S
1x SPDIF
1x PWM
1x ADC
6x GPIO
2x 5-V DC
2x 3.3-V power pin
Join Us
Explore the FPGA revolution with Vaaman and redefine the boundaries of computing.
Why FPGA Matters
Imagine a world with limitless possibilities, where you design your computing environment.
Vicharak's Mission
We make FPGA technology accessible, bridging the gap between hardware and software.
VAAMAN is a high-performance edge computing board, featuring a six-core ARM CPU and an FPGA with 112,128 logic cells. Its unique design makes it ideal for addressing many challenges unmet by current products. With a 300-MBps link between FPGA and CPU, Vaaman is optimized for hardware acceleration and excels at parallel computing. Vaaman’s versatility extends to its comprehensive range of interfaces, including PCI, HDMI, USB, MIPI, audio, Ethernet, Wi-Fi, Bluetooth, BLE, LVDS, and GPIOs.
Vaaman accelerates your most demanding edge-computing scenarios.
Overcome Challenges With Parallel Processing
Vaaman stands at the forefront of Edge AI and ML acceleration, providing a dynamic platform for groundbreaking applications. We are currently developing a custom platform called "Gati," which will enable custom end-to-end solutions, and enable convolutional neural networks (CNN) exclusively on Vaaman. By mapping these advanced algorithms to the FPGA, the CPU is left free to handle other critical tasks, which improves overall performance.
Object Classification and Detection
Vaaman excels at object classification tasks, leveraging FPGA parallel processing to swiftly categorize and identify objects in real time.
Edge Machine Vision
Vaaman transforms machine vision at the edge, accelerating the processing of visual data for applications like quality control, defect detection, and industrial automation.
Cryptographic Algorithms
Vaaman processes advanced cryptographic algorithms efficiently thanks to the parallel nature of Vaaman. FPGAs frequently outperform GPUs when it comes to cryptographic acceleration.
Video and Image Decoders
Real-time video and image processing benefit from Vaaman's parallel task handling and high-speed performance with consistent latency. Vaaman's reconfigurability allows us to deploy more efficient encoders and decoders.
Click the button below to access detailed documentation and get the most out of Vaaman!
Specification
STORAGE
EMMC
16GB/32GB/128GB High-Speed eMMC
MICROSD Card
MicroSD (TF) Card Slot
PCIE
PCIE for extended SSD
MEMORY
2GB LPDDR4-3200 SDRAM
AUDIO
3.5mm jack with mic
WIRELESS
Integrated WiFi Combo Module (6222B-SRC)
WiFi 2.4G+5G WiFi 2T2R
BT 5.0
40P GPIO
40 Pin GPIOs with PMOD
USB
1 x
USB3.0 Type-C
1 x
USB3.0
2 x
USB2.0 HOST
DISPLAY
HDMI 2.0 . micro HDMI 2.0 up to 4k@60Hz
MIPI DSI 2 lanes via FPC connector
DisplayPort 1.2 over Type-C
ETHERNET
10/100/1000Mbps Ethernet (Realtek RTL8211E)
PCIe 2.1x4
PCIe Interface via FPC connector
CAMERA
MIPI CSI 2 lanes via FPC connector
support up to 800MP camera
Technical specs
Dimensions & Weight
85 x 85 mm
Final weight and height TBD
SOC
Rockchip RK3399 (Dual Cortex-A72 + Quad Cortex-A53)
Mali-T864 GPU, OpenGL ES1.1/2.0/3.0/3.1, OpenCL, DX11
2 GB or 4 GB of LPDDR4 RAM
Power
18-W USB Type-C PD
Storage
64-GB eMMC built-in
PCIe
PCIe 2.1 (4 full-duplex lanes at 20 Gbps)
Real-Time Clock
RTC support via built-in battery interface
FPGA
Efinix Trion T120
Logic Elements: 112,128
Embedded Memory: 5,407 Kb
Embedded Memory Blocks (5 Kb each): 1,056
Embedded Multipliers: 320 (18x18 bit)
512 MB or 1 GB of DDR3L dedicated RAM, x32 PHY with memory controller hard IP, 25.6 Gbps aggregate bandwidth
Supports 1.8, 2.5, and 3.3-V single-ended I/O standards and interfaces
Up to 16 PLL-generated global clock signals
FPGA
Interface Blocks
GPIO
PLL
LVDS 800 Mbps per lane with up to 20 TX pairs and 20 RX pairs
MIPI DPHY with CSI-2 controller hard IP, 1.5 Gbps per lane
Direct CSI-2 connectors
Ports
2x USB 2.0 Type-A
1x USB 3.0 Type-A
1x HDMI 2.0 (Micro), Supports maximum 4K @ 60 Hz display
1x MIPI-DSI, Supports 2560x1600 @ 60 fps output with dual channel
1x USB Type-C DP, Supports maximum 4K @ 60 Hz display
1x MIPI-CSI, 2 lanes via FPC connector, support up to 800 MB/s bandwidth
3.5 mm jack with mic
Gigabit ethernet (Realtek RTL8211E)
MicroSD
I/O
40-pin GPIO header: supports one 12-pin PMOD and two LVDS lanes or 25 GPIOs
1x UART
2x SPI bus
2x I²C bus
1x PCM/I²S
1x SPDIF
1x PWM
1x ADC
6x GPIO
2x 5-V DC
2x 3.3-V power pin
Join Us
Explore the FPGA revolution with Vaaman and redefine the boundaries of computing.
Why FPGA Matters
Imagine a world with limitless possibilities, where you design your computing environment.
Vicharak's Mission
We make FPGA technology accessible, bridging the gap between hardware and software.
VAAMAN is a high-performance edge computing board, featuring a six-core ARM CPU and an FPGA with 112,128 logic cells. Its unique design makes it ideal for addressing many challenges unmet by current products. With a 300-MBps link between FPGA and CPU, Vaaman is optimized for hardware acceleration and excels at parallel computing. Vaaman’s versatility extends to its comprehensive range of interfaces, including PCI, HDMI, USB, MIPI, audio, Ethernet, Wi-Fi, Bluetooth, BLE, LVDS, and GPIOs.
Vaaman accelerates your most demanding edge-computing scenarios.
Overcome Challenges With Parallel Processing
Vaaman stands at the forefront of Edge AI and ML acceleration, providing a dynamic platform for groundbreaking applications. We are currently developing a custom platform called "Gati," which will enable custom end-to-end solutions, and enable convolutional neural networks (CNN) exclusively on Vaaman. By mapping these advanced algorithms to the FPGA, the CPU is left free to handle other critical tasks, which improves overall performance.
Object Classification and Detection
Vaaman excels at object classification tasks, leveraging FPGA parallel processing to swiftly categorize and identify objects in real time.
Edge Machine Vision
Vaaman transforms machine vision at the edge, accelerating the processing of visual data for applications like quality control, defect detection, and industrial automation.
Cryptographic Algorithms
Vaaman processes advanced cryptographic algorithms efficiently thanks to the parallel nature of Vaaman. FPGAs frequently outperform GPUs when it comes to cryptographic acceleration.
Video and Image Decoders
Real-time video and image processing benefit from Vaaman's parallel task handling and high-speed performance with consistent latency. Vaaman's reconfigurability allows us to deploy more efficient encoders and decoders.
Click the button below to access detailed documentation and get the most out of Vaaman!
Specification
STORAGE
EMMC
16GB/32GB/128GB High-Speed eMMC
MICROSD Card
MicroSD (TF) Card Slot
PCIE
PCIE for extended SSD
MEMORY
2GB LPDDR4-3200 SDRAM
AUDIO
3.5mm jack with mic
WIRELESS
Integrated WiFi Combo Module (6222B-SRC)
WiFi 2.4G+5G WiFi 2T2R
BT 5.0
40P GPIO
40 Pin GPIOs with PMOD
USB
1 x
USB3.0 Type-C
1 x
USB3.0
2 x
USB2.0 HOST
DISPLAY
HDMI 2.0 . micro HDMI 2.0 up to 4k@60Hz
MIPI DSI 2 lanes via FPC connector
DisplayPort 1.2 over Type-C
ETHERNET
10/100/1000Mbps Ethernet (Realtek RTL8211E)
PCIe 2.1x4
PCIe Interface via FPC connector
CAMERA
MIPI CSI 2 lanes via FPC connector
support up to 800MP camera
Technical specs
Dimensions & Weight
85 x 85 mm
Final weight and height TBD
SOC
Rockchip RK3399 (Dual Cortex-A72 + Quad Cortex-A53)
Mali-T864 GPU, OpenGL ES1.1/2.0/3.0/3.1, OpenCL, DX11
2 GB or 4 GB of LPDDR4 RAM
Power
18-W USB Type-C PD
Storage
64-GB eMMC built-in
PCIe
PCIe 2.1 (4 full-duplex lanes at 20 Gbps)
Real-Time Clock
RTC support via built-in battery interface
FPGA
Efinix Trion T120
Logic Elements: 112,128
Embedded Memory: 5,407 Kb
Embedded Memory Blocks (5 Kb each): 1,056
Embedded Multipliers: 320 (18x18 bit)
512 MB or 1 GB of DDR3L dedicated RAM, x32 PHY with memory controller hard IP, 25.6 Gbps aggregate bandwidth
Supports 1.8, 2.5, and 3.3-V single-ended I/O standards and interfaces
Up to 16 PLL-generated global clock signals
FPGA
Interface Blocks
GPIO
PLL
LVDS 800 Mbps per lane with up to 20 TX pairs and 20 RX pairs
MIPI DPHY with CSI-2 controller hard IP, 1.5 Gbps per lane
Direct CSI-2 connectors
Ports
2x USB 2.0 Type-A
1x USB 3.0 Type-A
1x HDMI 2.0 (Micro), Supports maximum 4K @ 60 Hz display
1x MIPI-DSI, Supports 2560x1600 @ 60 fps output with dual channel
1x USB Type-C DP, Supports maximum 4K @ 60 Hz display
1x MIPI-CSI, 2 lanes via FPC connector, support up to 800 MB/s bandwidth
3.5 mm jack with mic
Gigabit ethernet (Realtek RTL8211E)
MicroSD
I/O
40-pin GPIO header: supports one 12-pin PMOD and two LVDS lanes or 25 GPIOs
1x UART
2x SPI bus
2x I²C bus
1x PCM/I²S
1x SPDIF
1x PWM
1x ADC
6x GPIO
2x 5-V DC
2x 3.3-V power pin
Join Us
Explore the FPGA revolution with Vaaman and redefine the boundaries of computing.
