NVIDIA RTX 4000 SFF Ada 20GB
Overview
The NVIDIA RTX 4000 SFF Ada Generation fits 6,144 CUDA cores and 20 GB of GDDR6 with ECC into a half-height, 70 W card that draws all its power from the slot. It is the same silicon configuration as the full-height RTX 4000 Ada but clocked to suit the envelope, giving 19.2 TFLOPS of FP32 and 153.4 dense TFLOPS of FP8 with 280 GB/s of memory bandwidth. For inference deployments where space and power are the binding constraints, small form factor desktops, 1U servers, industrial and medical systems, it delivers considerably more memory than any other card at this power level from its generation. Four Mini DisplayPort 1.4a connectors handle display output. Its Blackwell successor is the RTX PRO 4000 Blackwell SFF Edition, which lifts the same 70 W envelope to 24 GB and 24 TFLOPS.
Performance
Peak theoretical throughput by precision type
| Precision | Dense | 2:4 Sparse |
|---|---|---|
FP64 64-bit floating point | 0.3TFLOPS | Structured sparsity is a tensor-core feature; this vector precision has no sparse form |
FP32 32-bit floating point | 19TFLOPS | Structured sparsity is a tensor-core feature; this vector precision has no sparse form |
TF32 | No verified data available | The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision |
BF16 | No verified data available | The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision |
FP16 | No verified data available | The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision |
FP8 8-bit floating point | 153TFLOPS | 307TFLOPS |
FP6 | No verified data available | The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision |
FP4 | No verified data available | The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision |
INT8 | No verified data available | The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision |
Per watt divides the dense figure by the 70 W board power. Where only a sparse figure exists, the cell says so.
Specifications
Architecture
Ada Lovelace
Form Factor
PCIe
Launch Year
2023
Process Node
4nm
Memory
20 GB GDDR6
Bandwidth
280 GB/s
TDP
70 W
Max Power
70 W
CUDA Cores
6,144
Spec Confidence
Official
Full Specifications
| Compute Engine | |
|---|---|
| CUDA Cores | 6,144 |
| Tensor Cores | 192 (4th Gen) |
| Streaming Multiprocessors | 48 |
| Memory | |
| VRAM | 20 GB |
| Memory Type | GDDR6 |
| Bandwidth | 280 GB/s |
| Interface Width | 160-bit |
| Interconnect & I/O | |
| PCIe | 4.0 x16 |
| Power & Thermal | |
| TDP | 70 W |
| Max Board Power | 70 W |
| Cooling | Active |
| Enterprise Features | |
| ECC Memory | Yes |
| Sparsity | Yes |
| Compute APIs | CUDA 11.6, OpenCL 3.0, DirectCompute |
| Physical & Media | |
| Card Length | 167.6 mm |
| Width | 2-slot |
| NVENC Engines | 2 |
| NVDEC Engines | 2 |
| General | |
| Form Factor | PCIe |
| Architecture | Ada Lovelace |
| Process Node | 4nm |
| Launch Year | 2023 |
Datasheet & Resources
Flopper Datasheet
NVIDIA RTX 4000 SFF Ada 20GB specifications, generated from our database. Printable.
Vendor product page
NVIDIA documentation for the RTX 4000 SFF Ada 20GB
NVIDIA RTX 4000 SFF Ada Generation Datasheet
NVIDIA · 2023-04-01
NVIDIA Developer Documentation
Technical specs, programming guides
Data Provenance
Every figure traced to a source
Primary Source
- Publisher
- NVIDIA
- Published
- 2023-04-01
Data Quality
- Spec confidence
- Official
- Clock basis
- Boost
- Core precisions with figures
- 3 of 9
- Normalization
- All values in TFLOPS
Rent this GPU
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Frequently Asked Questions
How many TFLOPS does the NVIDIA RTX 4000 SFF Ada have?
The NVIDIA RTX 4000 SFF Ada delivers 19 TFLOPS FP32 and 153 TFLOPS FP8 at peak. Flopper does not currently have a verified FP16 throughput figure for it.
What is the power consumption of the NVIDIA RTX 4000 SFF Ada?
The NVIDIA RTX 4000 SFF Ada has a TDP (Thermal Design Power) rating of 70 watts.
How much memory does the NVIDIA RTX 4000 SFF Ada have?
The NVIDIA RTX 4000 SFF Ada is equipped with 20 GB of VRAM with 280 GB/s of memory bandwidth.
What architecture is the NVIDIA RTX 4000 SFF Ada based on?
The NVIDIA RTX 4000 SFF Ada is based on the Ada Lovelace architecture, launched in 2023.
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