TheNVIDIA Deep Learning Accelerator(NVDLA) is anopen-source hardwareneural networkAI acceleratorcreated byNvidia.[1]The accelerator is written inVerilogand is configurable and scalable to meet many different architecture needs. NVDLA is merely an accelerator and any process must be scheduled and arbitered by an outside entity such as a CPU.[2][3]
NVDLA is available for product development as part of Nvidia'sJetsonXavier NX, a small circuit board in a form factor about the size of a credit card which includes a 6-coreARMv8.2 64-bit CPU, an integrated 384-coreVoltaGPU with 48 Tensor Cores, and dual NVDLA "engines", as described in their own press release.[4]Nvidia claims the product will deliver 14 TOPS (tera operations per second) of compute under 10 W.[4]Applications broadly includeedge computinginference engines,includingobject recognitionforautonomous driving.
Nvidia's involvement with open hardware includes the use ofRISC-Vprocessors as part of their GPU product line-up.[5]
References
edit- ^Freund, Karl (March 29, 2018)."Arm Chooses NVIDIA Open-Source CNN AI Chip Technology".Forbes.Moor Insights and Strategy.RetrievedJune 13,2018.
- ^"NVDLA Primer — NVDLA Documentation".nvdla.org.
- ^Kwon, Hyoukjun; Pellauer, Michael; Krishna, Tushar (2018). "MAESTRO: An Open-source Infrastructure for Modeling Dataflows within Deep Learning Accelerators".arXiv:1805.02566[cs.DC].
- ^abFranklin, Dustin (6 November 2019)."Introducing Jetson Xavier NX, the World's Smallest AI Supercomputer".developer.nvidia.com.Nvidia.Retrieved23 September2020.
- ^Wong, William G. (5 December 2017)."The Rise of RISC-V on Display at Workshop".electronicdesign.com.Endeavor Business Media.Retrieved23 September2020.
Nvidia gave a presentation about how its proprietary Falcon (Fast Logic CONtroller) core will be replaced by RISC-V cores. Falcon is a RISC CPU used in a number of Nvidia's chips, such as the Jetson TX2.