Raevenlord
News Editor
- Joined
- Aug 12, 2016
- Messages
- 3,755 (1.23/day)
- Location
- Portugal
System Name | The Ryzening |
---|---|
Processor | AMD Ryzen 9 5900X |
Motherboard | MSI X570 MAG TOMAHAWK |
Cooling | Lian Li Galahad 360mm AIO |
Memory | 32 GB G.Skill Trident Z F4-3733 (4x 8 GB) |
Video Card(s) | Gigabyte RTX 3070 Ti |
Storage | Boot: Transcend MTE220S 2TB, Kintson A2000 1TB, Seagate Firewolf Pro 14 TB |
Display(s) | Acer Nitro VG270UP (1440p 144 Hz IPS) |
Case | Lian Li O11DX Dynamic White |
Audio Device(s) | iFi Audio Zen DAC |
Power Supply | Seasonic Focus+ 750 W |
Mouse | Cooler Master Masterkeys Lite L |
Keyboard | Cooler Master Masterkeys Lite L |
Software | Windows 10 x64 |
Chinese company Shanghai Tianshu Zhixin Semiconductor Co., Ltd., commonly known (at least in Asia) as Tianshu Zhixin, has announced the availability of their special-purpose GPGPU, affectionately referred to as Big Island (BI). The BI chip is the first fully domestic-designed solution for the market it caters to, and features close to the latest in semiconductor manufacturing, being built on a 7 nm process featuring 2.5D CoWoS (chip-on-wafer-on-substrate) packaging. The chip is built towards AI and HPC applications foremost, with applications in other industries such as education, medicine, and security. The manufacturing and packaging processes seem eerily similar to those available from Taiwanese TSMC.
Tianshu Zhixin started work on the BI chip as early as 2018, and has announced that the chip features support for most AI and HPC data processing formats, including FP32, FP16, BF16, INT32, INT16, and INT8 (this list is not exhaustive). The company says the chip offers twice the performance of existing mainstream products on the market, and emphasizes its price/performance ratio. The huge chip (it packs as many as 24 billion transistors) is being teased by the company as offering as much as 147 TFLOPs in FP126 workloads, compared to 77.97 TFLOPs in the NVIDIA A100 (54 billion transistors) and 184.6 TFLOPS from the AMD Radeon Instinct MI100 (estimated at 50 billion transistors).
View at TechPowerUp Main Site
Tianshu Zhixin started work on the BI chip as early as 2018, and has announced that the chip features support for most AI and HPC data processing formats, including FP32, FP16, BF16, INT32, INT16, and INT8 (this list is not exhaustive). The company says the chip offers twice the performance of existing mainstream products on the market, and emphasizes its price/performance ratio. The huge chip (it packs as many as 24 billion transistors) is being teased by the company as offering as much as 147 TFLOPs in FP126 workloads, compared to 77.97 TFLOPs in the NVIDIA A100 (54 billion transistors) and 184.6 TFLOPS from the AMD Radeon Instinct MI100 (estimated at 50 billion transistors).
View at TechPowerUp Main Site