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CUDA Compute Capability 7.0 concurrent execution of integer and floating point operations; TSMC's 12 nm FinFET process, [8] allowing 21.1 billion transistors. [9] High Bandwidth Memory 2 (HBM2), [8] [10] NVLink 2.0: a high-bandwidth bus between the CPU and GPU, and between multiple GPUs.
Devices that support compute capability 2.0 and above support denormal numbers, and the division and square root operations are IEEE 754 compliant by default. However, users can obtain the prior faster gaming-grade math of compute capability 1.x devices if desired by setting compiler flags to disable accurate divisions and accurate square roots ...
Photo of James Clerk Maxwell, eponym of architecture. Maxwell is the codename for a GPU microarchitecture developed by Nvidia as the successor to the Kepler microarchitecture. . The Maxwell architecture was introduced in later models of the GeForce 700 series and is also used in the GeForce 800M series, GeForce 900 series, and Quadro Mxxx series, as well as some Jetson produ
Compute Capability: 1.1 (G92 [GTS250] GPU) Compute Capability: 1.2 (GT215, GT216, GT218 GPUs) Compute Capability: 1.3 has double precision support for use in GPGPU applications.
2.0 225 Internal PCIe GPU (full-height, dual-slot) S2050 GPU Computing Server July 25, 2011 4× GF100 575 1792 1150 — GDDR5 4× 384 4× 3 [g] 3 4× 148.4 No 4.1216 2.0608 2.0 900 1U rack-mount external GPUs, connect via 2× PCIe (×8 or ×16) S2070 GPU Computing Server July 25, 2011 — 4× 6 [g] No K10 GPU accelerator [9] Kepler: May 1, 2012 ...
As of July 2017, the Graphics Core Next instruction set has seen five iterations. The differences between the first four generations are rather minimal, but the fifth-generation GCN architecture features heavily modified stream processors to improve performance and support the simultaneous processing of two lower-precision numbers in place of a single higher-precision number.
CUDA Compute Capability 8.0 for A100 and 8.6 for the GeForce 30 series [7] TSMC's 7 nm FinFET process for A100; Custom version of Samsung's 8 nm process (8N) for the GeForce 30 series [8] Third-generation Tensor Cores with FP16, bfloat16, TensorFloat-32 (TF32) and FP64 support and sparsity acceleration. [9]
Blackwell is a graphics processing unit (GPU) microarchitecture developed by Nvidia as the successor to the Hopper and Ada Lovelace microarchitectures.. Named after statistician and mathematician David Blackwell, the name of the Blackwell architecture was leaked in 2022 with the B40 and B100 accelerators being confirmed in October 2023 with an official Nvidia roadmap shown during an investors ...