NVIDIA RTX A1000 8GB Specs, Benchmarks & Pricing
The NVIDIA RTX A1000 is an entry-level professional workstation GPU released on April 16, 2024, built on the Ampere architecture using the GA107 chip with 8nm process technology. It features 2,304 CUDA cores, 72 third-generation Tensor Cores, and 18 second-generation RT Cores, paired with 8GB of GDDR6 memory. The third-generation Tensor Cores deliver 53.8 TFLOPS of FP16 performance with sparsity and 53.9 TOPS of dense INT8 performance (107.8 TOPS with sparsity), making it capable of handling AI-augmented workflows including AI denoising and DLSS. With a remarkably low TDP of only 50W and a single-slot, low-profile form factor, the card requires no auxiliary power connector and is designed for compact workstations where space and power are constrained. Memory bandwidth of 192 GB/s is provided through a 128-bit memory interface. The GPU features PCI Express 4.0 x8 interface and four Mini DisplayPort 1.4a outputs, supporting up to four 5K displays simultaneously.
- Release Date: April 16, 2024
- MSRP: $365 USD
- GPU Architecture: Ampere
- Hardware-Accelerated GEMM Operations:FP64 FP32 TF32 BF16 FP16 FP8 FP4 INT8 INT4
- CUDA Compute Capability : 8.6
Considerations
- Lower FP32 compute performance compared to other GPUs
- Lower tensor core count compared to other GPUs
- Below average 3DMark Wild Life Extreme (4K) performance
- Below average 3DMark Wild Life Extreme (1440p) performance
Specifications for NVIDIA RTX A1000
| Specification | Performance Ranking |
|---|---|
| FP32 TFLOPs | |
| FP16 TFLOPs | |
| Tensor Core Count | |
| Memory Capacity (GB) | |
| Memory Bandwidth (GB/s) | |
| Int8 TOPs | |
| FP8 TFLOPs | Data not available |
| FP4 TFLOPs | Data not available |
Gaming Benchmarks for NVIDIA RTX A1000
Rankings based on 1,474 real-world benchmark results from OpenBenchmarking.org
| Benchmark | Performance Ranking |
|---|---|
| 3DMark Wild Life Extreme (4K) | |
| 3DMark Wild Life Extreme (1440p) | |
| 3DMark Wild Life Extreme (1080p) |
Real-time NVIDIA RTX A1000 GPU Prices
Compare Price/Performance to other GPUs
Compare NVIDIA RTX A1000 to Another GPU
Price History
NVIDIA RTX A1000 Price History
This chart tracks NVIDIA RTX A1000 prices over the past 6 months based on eBay listings. The yellow line shows the average of the three lowest-priced listings each day—a useful indicator for finding deals.
Trend: Over this period, the lowest average price has been up 27.1%. The current lowest average is $415, compared to a typical $362 over the period. The lowest average price is calculated as the average of the three lowest-priced listings each day.
Product Identifiers
Manufacturer Part Numbers (3)
- NVIDIA Part Number
- 900-5G172-2780-000
- NVIDIA Part Number
- 900-5G172-2280-000
- NVIDIA Part Number
- 900-5G172-2281-000
Available from 4 Partners (5 products)
- PNY NVIDIA RTX A1000 8GB GDDR6 Graphics Card
- VCNRTXA1000ATX-PB(sku)
- Dell NVIDIA RTX A1000, 8 GB GDDR6, full height, PCIe 4.0x8, 4 mDP Graphics Card
- 490-BKQH(part number)
- Dell NVIDIA RTX A1000, 8 GB GDDR6, half height, PCIe 4.0x8, 4 mDP Graphics Card
- 490-BKQJ(part number)
- ThinkSystem NVIDIA RTX A1000 8GB PCIe Gen4 Active GPU
- 4X67A96431(part number)
- Supermicro NVIDIA RTX A1000 8GB GDDR6 PCIe 4.0 Active Cooling
- GPU-NVQRTX-A1000(part number)
References
- https://www.nvidia.com/en-us/products/workstations/rtx-a1000/
- https://www.cgchannel.com/2024/04/nvidia-unveils-new-rtx-a400-and-rtx-a1000-pro-gpus/
- https://blogs.nvidia.com/blog/ampere-rtx-a400-a1000-ai/
- https://www.tomshardware.com/pc-components/gpus/ampere-rides-again-as-nvidia-unveils-single-slot-rtx-a1000-and-a400-for-professionals-the-latter-featuring-a-massively-cut-down-ga107-chip
- https://lenovopress.lenovo.com/lp2172-thinksystem-nvidia-rtx-a1000-8gb-pcie-gen4-active-gpu
- https://www.leadtek.com/eng/products/workstation_graphics(2)/NVIDIA_RTX_A1000(51012)/detail
- https://www.pny.com/en-eu/rtx-a1000
- https://forums.developer.nvidia.com/t/what-is-the-fp64-rpeak-value-for-a5000/196056
Notes
- FP32 TFLOPS of 6.74 sourced from NVIDIA official product page and Lenovo Press documentation.
- FP16 TFLOPS of 53.8 represents peak tensor performance with sparsity from NVIDIA product page.
- int8TOPS of 53.9 represents non-sparse (dense) INT8 performance, derived from sparse INT8 of 107.8 TOPS ÷ 2 per NVIDIA Ampere architecture. With 2:4 structured sparsity, INT8 performance is 107.8 TOPS. Dense value used for consistent cross-vendor comparison.
- Memory bandwidth calculated as 128-bit × 12 Gbps ÷ 8 = 192 GB/s.
- CUDA Compute Capability 8.6 confirmed for GA107 Ampere chip.
- The GPU uses the GA107 chip with 2,304 of 3,072 possible CUDA cores enabled.
- TDP is 50W, no auxiliary power connector required.
- Released April 16, 2024, filling the entry-level workstation gap with RT and tensor capabilities.
- MSRP of $365 USD from NVIDIA marketplace listing.
- Phase 5 audit (2026-09-02): gpuArchitecture normalized from lowercase 'ampere' to canonical 'Ampere' capitalization per the canonical table in .claude/agents/gpu-researcher.md.
- Phase 5 audit (2026-09-02): FP32 and FP64 removed from supportedHardwareOperations. FP32 is executed on CUDA/shader ALUs, not accelerated through a standalone Tensor Core path on Ampere (only the TF32 reduced-precision format is Tensor Core-accelerated) — FP32 continues to be reported separately via the fp32TFLOPS field. FP64 removed because the RTX A1000 uses the GA107 chip (confirmed in the summary above), a smaller die than GA102 and not GA100-based; per an NVIDIA staff reply on NVIDIA Developer Forums, 'The Tensor core units in the GA102 chip architecture do not contain the FP64 path that is present in e.g. the Tensor core units in the A100 GPU' (https://forums.developer.nvidia.com/t/what-is-the-fp64-rpeak-value-for-a5000/196056) — the same reasoning extends to the smaller GA107 die, which shares the same 3rd-gen Tensor Core design as GA102/GA104/GA106. Canonical Ampere baseline (TF32, BF16, FP16, INT8, INT4) applied per gpu-researcher.md; FP64 Tensor Core support is reserved for GA100-based SKUs (A100, A30) only.
- fp8TFLOPS and fp4TFLOPS are left null (field omitted) and not added to unverifiedSpecs — this is a confirmed hardware negative, not a research gap. The RTX A1000's Ampere 3rd-generation Tensor Cores predate both FP8 (introduced in Ada Lovelace/Hopper) and FP4 (introduced in Blackwell) tensor formats, per the canonical architecture table in .claude/agents/gpu-researcher.md.