Tuesday, December 29th 2020
Tachyum Prodigy Software Emulation Systems Now Available for Pre-Order
Tachyum Inc. today announced that it is signing early adopter customers for the software emulation system for its Prodigy Universal Processor, customers may begin the process of native software development (i.e. using Prodigy Instruction Set Architecture) and porting applications to run on Prodigy. Prodigy software emulation systems will be available at the end of January 2021.
Customers and partners can use Prodigy's software emulation for evaluation, development and debug, and with it, they can begin to transition existing applications that demand high performance and low power to run optimally on Prodigy processors. Pre-built systems include a Prodigy emulator, native Linux, toolchains, compilers, user mode applications, x86, ARM and RISC-V emulators. Software updates will be issued as needed.
Software development kits will be available at a lower cost, than Tachyum's previously announced FPGA hardware emulation systems, currently in pre-order for delivery in 1Q21.
"Showing how HPC, AI and conventional business applications will benefit from Prodigy's performance is a critical moment in its development and adoption as a universal processor platform," said Dr. Radoslav Danilak, Tachyum founder and CEO. "We look forward to announcing partners and customers that have successfully used our emulation systems, and some results, early next year."
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 heterogeneous hardware fabric, consisting of CPU, GPU, TPU processors, to address these different workloads, creating inefficiency, expense, and increasing the complexity of supply and maintenance challenges. Using specific hardware dedicated to each type of workload (e.g. data center, AI, HPC), results in underutilization of hardware resources, more challenging programming, software integration & maintenance, as well as increased hardware maintenance challenges. 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.
To pre-order FPGA emulation systems, interested parties can visit https://www.tachyum.com/
Customers and partners can use Prodigy's software emulation for evaluation, development and debug, and with it, they can begin to transition existing applications that demand high performance and low power to run optimally on Prodigy processors. Pre-built systems include a Prodigy emulator, native Linux, toolchains, compilers, user mode applications, x86, ARM and RISC-V emulators. Software updates will be issued as needed.
"Showing how HPC, AI and conventional business applications will benefit from Prodigy's performance is a critical moment in its development and adoption as a universal processor platform," said Dr. Radoslav Danilak, Tachyum founder and CEO. "We look forward to announcing partners and customers that have successfully used our emulation systems, and some results, early next year."
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 heterogeneous hardware fabric, consisting of CPU, GPU, TPU processors, to address these different workloads, creating inefficiency, expense, and increasing the complexity of supply and maintenance challenges. Using specific hardware dedicated to each type of workload (e.g. data center, AI, HPC), results in underutilization of hardware resources, more challenging programming, software integration & maintenance, as well as increased hardware maintenance challenges. 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.
To pre-order FPGA emulation systems, interested parties can visit https://www.tachyum.com/
6 Comments on Tachyum Prodigy Software Emulation Systems Now Available for Pre-Order
I wonder how many customers will fall for this bizarre concept of having a piece of silicon that can somehow emulate hardware faster than it runs on the original silicon it came from. :kookoo:
(Tachyum Processing Unit)
If this is true it is amazing, these guys behave as if intel and amd where sleeping for the last decade, however seeing what apple did with m1, this might actually be the case.
In the end any new competition is great, for the end users, but I would only believe their claims when I will see a proper Windows 10 performance review done by a reputable reviewer such as TPU (ups, trademark infringement).
It will probably take a while though seeing that these processors are targeted at datacenters for now.
To me, this pattern is clearly fraud. I don't know why people have trouble saying this aloud. All that is needed to prove me wrong is a working processor which I predict will never happen.
And there is nothing stopping Tachyum from making other things which can exist like a software emulator which are common and unremarkable. And it is possible for a company to reform and become legal like LifeLock for example (which paid a $100 million settlement for false claims but is still in business). But my feeling is that once a company or manager crosses the line and makes false claims, it is never ok to trust that person again.