Tachyum releases Motherboard Emulation for its Prodigy Processor FPGA Prototype to Manufacturing

Tachyum Inc. sent the motherboard emulation prototype of its Prodigy Universal Processor FPGA prototype to manufacturing, which, when returned, will be plugged into its recently completed field-programmable gate array (FPGA) emulation Prodigy Processor boards to create a fully functional system, bringing Prodigy one step closer to delivery later this year.

The decision to release the FPGA emulation prototype to manufacturing was made based on successful in-house electrical testing results that Tachyum achieved from its Prodigy processor prototype delivered earlier in the month.  The completed motherboard, containing external chips and connectors, is expected back from manufacturing in early May, and will be connected with earlier prototypes to form a fully functional Prodigy emulation server system available for further build out, including Linux boot and incorporation of additional test chips.

The Prodigy FPGA motherboard contains IP that Tachyum purchased from third parties, such as PCIE 5.0 and other peripherals.  Among the included technologies are 112Gb coherent chip-to-chip communication, BMC, TPM, Ethernet, UART, USB and all other chips necessary to make a complete and fully functional server system.  Tachyum will provide all necessary drivers for its peripherals and I/O.

With this most-recent milestone, Tachyum’s systems team is switching its focus on porting virtualization. Progress to-date includes successful porting of Linux 5.10, including Tachyum Interrupt Controller (TIC), inter-processor interrupts (IPI), and running with Symmetric Multiprocessing System (SMP) enabled.  The Linux bootloader is being ported, and closes the chain from UEFI.

“Having an integrated ‘chipset’ into Prodigy Universal Processor simplifies board design, saves space and power, reduces motherboard costs, and enables a simplified unified software infrastructure,” said Dr. Radoslav Danilak, Tachyum founder and CEO. “Our ability to continue progressing through each stage of testing and manufacturing so quickly stems from our meticulous design process and a thorough understanding of semiconductor engineering.  Assuming successful manufacturing of our motherboard prototype, we should be able to start integrating test chips our IP supplier taped out last year for us as early as May 2021.”

Tachyum’s Prodigy can run HPC applications, convolutional AI, explainable AI, general AI, bio AI, and spiking neural networks, plus normal data center workloads, on a single homogeneous processor platform, using existing standard programming models. Without Prodigy, hyperscale data centers must use a combination of CPU, GPU, TPU hardware, for these different workloads, creating inefficiency, expense, interoperability challenges, and the complexity of separate supply and maintenance infrastructures. Using specific hardware dedicated to each type of workload (e.g. data center, AI, HPC), results in underutilization of hardware resources, and more challenging programming, support, and maintenance. Prodigy’s ability to seamlessly switch among these various workloads dramatically changes the competitive landscape and the economics of data centers.

In hyperscale data centers, Prodigy significantly improves computational performance, energy consumption, hardware (server) utilization and space requirements, compared to existing processor chips currently provisioned. As the world’s first universal processor, it also runs legacy x86, ARM and RISC-V binaries in addition to its native Prodigy code. With a single, highly efficient processor architecture, Prodigy delivers industry-leading performance across data center, AI, and HPC workloads, outperforming the fastest Xeon processors while consuming 10x lower power (core vs. core), as well as outperforming NVIDIA’s fastest GPU in HPC, as well as AI training and inference. A mere 125 HPC Prodigy racks can deliver 32 tensor EXAFLOPS.

Prodigy’s 3X lower cost per MIPS and its 10X lower core power translate to a 4X lower data center Total Cost of Ownership (TCO), delivering billions of dollars in annual savings to hyperscalers. Since Prodigy is the world’s only processor that can switch between data center, AI and HPC workloads, unused servers can be used as CAPEX- free AI or HPC cloud resources, because the servers have already been amortized. Prodigy will also allow Edge developers for IoT to exploit its low power/high performance, along with its simple programming model, to deliver efficient high- performance AI to the edge.