NVIDIA GeForce RTX 2080 Super 8GB
Overview
The GeForce RTX 2080 SUPER is the complete 48-SM TU104 die, the top of the mid-generation Turing refresh, and the fastest 8 GB Turing card NVIDIA sold. It is the card the RTX 3060 Ti was later marketed against and beat. For AI work the tensor ladder is the ordinary GeForce Turing one: FP16 at 44.6 TFLOPS accumulating in FP32, 89.2 accumulating in FP16, and INT8 at 178.4 TOPS. There is no BF16, no TF32 and no sparsity anywhere in the Turing generation, so those numbers are dense and directly comparable. Eight gigabytes is the constraint that dates the card rather than its throughput.
Performance
Peak theoretical throughput by precision type
| Precision | Peak |
|---|---|
FP64 64-bit floating point | 0.3TFLOPS |
FP32 32-bit floating point | 11TFLOPS |
TF32 | No verified data available |
BF16 | No verified data available |
FP16 16-bit floating point | 45TFLOPS |
FP8 | No verified data available |
FP6 | No verified data available |
FP4 | No verified data available |
INT8 8-bit integer | 178TOPS |
INT4 4-bit integer | 357TOPS |
Every figure here is dense. The vendor documents no structured (2:4) sparsity mode for this part, so there is no second number to quote.
Per watt divides the dense figure by the 250 W board power. Where only a sparse figure exists, the cell says so.
The GeForce RTX 2080 Super 8GB in the GPU landscape
Peak FP16 TFLOPS (dense) against TDP, single-GPU parts tracked by Flopper
Higher and further left is better: more half-precision throughput for less power.
Specifications
Architecture
Turing
Form Factor
PCIe
Launch Year
2019
Process Node
12nm
Memory
8 GB GDDR6
Bandwidth
496 GB/s
TDP
250 W
Max Power
250 W
Transistors
13.6 billion
Interconnect
50 GB/s NVLink
CUDA Cores
3,072
Spec Confidence
Official
Full Specifications
| Compute Engine | |
|---|---|
| CUDA Cores | 3,072 |
| Tensor Cores | 384 (Turing) |
| Streaming Multiprocessors | 48 |
| Base Clock | 1.65 GHz |
| Boost Clock | 1.81 GHz |
| Chip Design | |
| Transistors | 13.6 billion |
| Die Size | 545 mm² |
| Process Node | 12nm |
| Memory | |
| VRAM | 8 GB |
| Memory Type | GDDR6 |
| Bandwidth | 496 GB/s |
| Interface Width | 256-bit |
| Memory Clock | 15.5 GT/s |
| Interconnect & I/O | |
| GPU-to-GPU | NVLink |
| Interconnect Bandwidth | 50 GB/s |
| Interconnect Links | 1 |
| PCIe | 3.0 x16 |
| Cache | |
| L2 Cache | 4 MB |
| Power & Thermal | |
| TDP | 250 W |
| Max Board Power | 250 W |
| Power Connector | 6 pin + 8 pin |
| Cooling | Active |
| Enterprise Features | |
| ECC Memory | No |
| Sparsity | No |
| Compute APIs | CUDA, DirectX 12, Vulkan, OpenGL |
| Physical & Media | |
| Card Length | 266.74 mm |
| Width | 2-slot |
| General | |
| Form Factor | PCIe |
| Architecture | Turing |
| Process Node | 12nm |
| Launch Year | 2019 |
Datasheet & Resources
Flopper Datasheet
NVIDIA GeForce RTX 2080 Super 8GB specifications, generated from our database. Printable.
Vendor product page
NVIDIA documentation for the GeForce RTX 2080 Super 8GB
GeForce RTX 2080 SUPER product page (nvidia.com, archived 2019-08-20)
NVIDIA · 2019-07-02
NVIDIA Developer Documentation
Technical specs, programming guides
Data Provenance
Every figure traced to a source
Primary Source
- Publisher
- NVIDIA
- Published
- 2019-07-02
Data Quality
- Spec confidence
- Official
- Clock basis
- Boost
- Core precisions with figures
- 4 of 9
- Normalization
- All values in TFLOPS
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Frequently Asked Questions
How many TFLOPS does the NVIDIA GeForce RTX 2080 Super have?
The NVIDIA GeForce RTX 2080 Super delivers 11 TFLOPS FP32 and 45 TFLOPS FP16 at peak. Flopper does not currently have a verified FP8 throughput figure for it.
What is the power consumption of the NVIDIA GeForce RTX 2080 Super?
The NVIDIA GeForce RTX 2080 Super has a TDP (Thermal Design Power) rating of 250 watts.
How much memory does the NVIDIA GeForce RTX 2080 Super have?
The NVIDIA GeForce RTX 2080 Super is equipped with 8 GB of VRAM with 496 GB/s of memory bandwidth.
What architecture is the NVIDIA GeForce RTX 2080 Super based on?
The NVIDIA GeForce RTX 2080 Super is based on the Turing architecture, launched in 2019.
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