Polywell Computers is expanding support for AI in both Cloud Computing and Edge Computing

Polywell is expanding our products to support AI in both Cloud Computing and Edge Computing by utilizing NVidia GPU for the Cuda AI and also to have a parallel solution with Intel technology for OpenVino AI.

We are seeing Nvidia Cuda competing with Intel OpenVino + additional new Intel AI technologies integrated into its new processors.

On the high-end side, Nvidia is now leading the GPU for AI computing with its A100. Polywell is fully supporting this platform.

Polywell 4U8GPU-A100-E7003

4U 8x Nvidia® GPU-A100, 6x 2.5” NVMe U.2/SATA, 32x 8-Channel DDR4, Dual 3rd Gen. EPYC™

Polywell 4U8GPU-A100-4189A

4U 8xGPU-A100, 6xU.2/SATA, 32x8-Channel DDR4, Ice Lake Xeon®

Polywell 2U4GPU-A100-E7003

2U 4x Nvidia® GPU-A100, 4x 2.5” NVMe U.2/SATA, 32x 8-Channel DDR4, Dual 3rd Gen. EPYC™

Mainstream GPU for AI computing - 2U System integrating with GPU Adapters for various configurations by installing up to 4 GPU

Polywell 2U5E32TP-X4677B

2U Short 4th Gen. EagleStream, 5 x16 PCIe 5.0 + 32 DDR5, OCP 3.0 + 2x10GbE, 2x2000W CRPS

Polywell 2U6GPU-4189A

2U 6xGPU Slots, 10x2.5”, 16DIMM OCP3.0 LAN, 3rd Gen. Scalable Xeon

Polywell 4UT4GPU-4189A

4U 8xGPU-A100, 6xU.2/SATA, 32x8-Channel DDR4, Ice Lake Xeon®

Systems for Edge AI

NVidia Cuda Platform:

Polywell i2315

12th Gen. Intel® H-Series i7, Nvidia® RTX3070M 8G/3060M 12G Graphics, 2 M.2 slots+WiFi/BT, 6 USB 3.0+2 USB 2.0+Type-C

Polywell i2314

12th Gen. Intel® H-Series i9/i7, Nvidia® RTX3050 Graphics, 2 M.2 slots, 4 USB 3.0+4 USB 2.0+Type-C

Polywell i2313

10th Gen. Intel® H-Series i9/i7/i5, Nvidia® RTX2060 3 Graphics Ports, 2 M.2 slots, 4 USB 3.0+2 USB 2.0+Type-C

Polywell i2312b

Intel® Coffee Lake, Nvidia® GTX1650+UHD Graphics HDMI + DP, 2 M.2+2 DDR4, LAN+6 USB+Type-C

Polywell H510MXM

Intel® 11th Gen Socket-S Rocket Lake, Slim Form Factor Nvidia® or AMD® MXM Graphics Module, GPU Computing

Intel OpenVino platform (just several examples - the product choice is broad):

Polywell Nano-U13L2C

Fanless 13th Gen. Alder Lake-u/P u-Series, 2 Intel 2.5G LAN 8K Graphics DP+HDMI 2.0, 6 USB +Type-C + COM

Polywell H610AL2

1.4” Slim 12th Gen. Socket-S Alder Lake, 3 Display 2 HDMI+DP, 3 M.2+2 LAN, 6 USB+2 COM

Polywell Z790L2

13th Gen Socket-S, Xe Graphics HDMI2.1+DP1.4+eDP1.4, PCIe 5.0 x16 +2NVMe 4.0, Dual LAN 2.5GbE+1GbE

Polywell NUC-U12V3c

12th Gen. Alder Lake, Iris® Xe GPU 3 Display, 2 HDMI+ThunderBolt 4 Type-C, WiFi 6/BT 5.0+2.5GbE LAN

Polywell Nano-U12P

12th Gen. Alder Lake, Iris® Xe 8K GPU 4 Display, HDMI 2.1+DP 1.4+2 ThunderBolt 4, WiFi 6/BT 5.0+2.5GbE LAN

Polywell U12L2/U12FL2

12th Gen. Alder Lake, Iris® Xe 8K GPU 4 Display, 3 HDMI 2.0+DP 1.4, 2 LAN+RS232/RS485+SIM

Intel is developing its Gaudi to compete with Nvidia A100, their next generation Gaudi 3 based on PCIe 6.0 will bypass the Nvidia GPU because Intel has its PCIe bus controller inside the CPU which can block the performance I/O from Nvidia to compete with them. We will see Intel would be winning Nvidia in 3 to 5 years after their Gaudi becomes mature and more software developers porting their AI apps from Cuda into the Intel Gaudi platform. We also see Intel developing the ARC Graphics card to compete with Nvidia’s GeForce Graphics, which is hard to see how it goes, but I have confidence that Intel will do better than Nvidia after PCIe 6.0 Ultra-fast bus lanes.

Intel is making the next generation PC as an AI PC by utilizing its PCIe 5.0 bus I/O to talk to the SSD under NVME 5.0 and memory I/O with DDR5, the GPU business would also be dominated after PCIe 5.0 and 6.0 afterward.

Intel has lost the market for a decade to Nvidia, and I will see the new Intel CPU bring Intel back on track to compete, I am going after Intel to develop the products on that path to bet our future into AI because Intel’s software is much stronger than Nvidia in overall.

Besides the AI, Polywell continues to focus on the embedded segment of the business with our Mini PC and ARM Android platforms. We are also adding more resources to the Server line while aiming for AI Computing with both GPU and Network I/O SDN with 200G and 400G Network I/O modules through PCIe 5.0 and PCIe 6.0 coming along.


Looking forward to talking to you again soon.

Take care.


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