NVIDIA A10G vs NVIDIA RTX 4000 SFF Ada Generation Comparison

The NVIDIA A10G and NVIDIA RTX 4000 SFF Ada Generation serve distinctly different purposes despite sharing the NVIDIA brand, a fact made clear by their benchmark profiles and physical designs. The A10G is a server-oriented accelerator with no display outputs, while the RTX 4000 SFF is a compact workstation card with four mini-DisplayPort outputs. Benchmark data shows the A10G wins both head-to-head tests, but the RTX 4000 SFF offers a dramatically different power and size envelope that makes it the more practical choice for certain deployments. The data reveals a clear separation: the A10G prioritizes raw compute throughput, while the RTX 4000 SFF prioritizes efficiency and physical flexibility.

Where Each One Wins

The A10G wins both available benchmark comparisons by substantial margins. In Geekbench OpenCL, the A10G scores 158063 against the RTX 4000 SFF's 124812, a 26.6% advantage. The gap widens in Geekbench Vulkan, where the A10G scores 145863 versus 109364, a 33.4% lead. These results indicate the A10G is the stronger choice for compute-heavy workloads that leverage OpenCL or Vulkan APIs. The A10G's average benchmark score of 151963 places it in the 97th percentile of all GPUs, while the RTX 4000 SFF's average of 117088 sits in the 95th percentile. This percentile difference, while numerically small, reflects the A10G's position among the top tier of accelerators.

The RTX 4000 SFF wins in areas the benchmark scores do not capture, particularly physical footprint and power requirements. The RTX 4000 SFF measures 168 mm in length and 69 mm in height, compared to the A10G's 267 mm length and 112 mm height. The RTX 4000 SFF draws 70 W TDP with no power connectors required, while the A10G draws 150 W and requires an 8-pin EPS connector. These differences make the RTX 4000 SFF suitable for small-form-factor workstations where space and power delivery are constrained. The RTX 4000 SFF also provides four mini-DisplayPort 1.4a outputs, enabling direct display connectivity, whereas the A10G has no display outputs at all.

Architecture Differences

The two cards stem from different NVIDIA architectures and manufacturing processes. The A10G uses the GA102 chip built on Ampere architecture, fabricated by Samsung on an 8 nm process. The RTX 4000 SFF uses the AD104 chip built on Ada Lovelace architecture, fabricated by TSMC on a 5 nm process. This process difference is significant: the A10G's die measures 628 mm² and contains 28,300 million transistors, while the RTX 4000 SFF's die measures just 294 mm² but packs 35,800 million transistors. Transistor density tells the story — the A10G achieves 45.1 million transistors per mm², while the RTX 4000 SFF achieves 121.8 million per mm², nearly three times the density.

The A10G's larger, older-process die delivers more raw compute resources. It features 9216 shading units, 288 texture mapping units, 96 raster operation units, 72 ray tracing cores, and 288 tensor cores. The RTX 4000 SFF counters with 6144 shading units, 192 TMUs, 64 ROPs, 48 ray tracing cores, and 192 tensor cores. The A10G's FP32 throughput is 31.52 TFLOPS, while the RTX 4000 SFF achieves 19.17 TFLOPS. Both cards maintain a 1:1 FP16 to FP32 ratio, meaning their FP16 numbers mirror the FP32 figures. Memory configurations also differ markedly — the A10G carries 24 GB of GDDR6 on a 384-bit bus, yielding 600.2 GB/s bandwidth, while the RTX 4000 SFF carries 20 GB of GDDR6 on a 160-bit bus, yielding 280.0 GB/s bandwidth.

FAQ

Q: Which card has higher raw compute performance?

A: The A10G is decisively ahead. Its FP32 throughput of 31.52 TFLOPS exceeds the RTX 4000 SFF's 19.17 TFLOPS. In Geekbench OpenCL, the A10G scores 158063 against 124812, and in Geekbench Vulkan it scores 145863 against 109364.

Q: Are these cards suitable for the same physical environments?

A: No. The RTX 4000 SFF is a dual-slot card measuring 168 mm by 69 mm, while the A10G is a single-slot card measuring 267 mm by 112 mm. The RTX 4000 SFF is substantially smaller and consumes only 70 W with no power connectors, versus the A10G's 150 W with an 8-pin EPS connector.

Q: Can either card drive displays directly?

A: Only the RTX 4000 SFF has display outputs, featuring four mini-DisplayPort 1.4a connections. The A10G has no display outputs, confirming its server-accelerator role.

Q: How do their memory subsystems compare?

A: The A10G offers 24 GB of GDDR6 on a 384-bit bus with 600.2 GB/s bandwidth. The RTX 4000 SFF offers 20 GB of GDDR6 on a 160-bit bus with 280.0 GB/s bandwidth. The A10G's memory bandwidth is more than double.

Q: What is the production status of each card?

A: The A10G is end-of-life, with a release date of April 2021. The RTX 4000 SFF is active, with a release date of March 2023.

Q: How do these cards position relative to other GPUs?

A: The A10G's average benchmark score of 151963 places it in the 97th percentile of all GPUs, while the RTX 4000 SFF's average of 117088 places it in the 95th percentile. The A10G's nearest rival is the NVIDIA Tesla V100 PCIe 32 GB, which scores 150305 (1.1% slower), while the RTX 4000 SFF's nearest rival is the NVIDIA GB10, which scores 117393 (0.3% slower).

Specification Differences

The two cards differ across nearly every major specification category. The A10G uses Ampere architecture on an 8 nm Samsung process, while the RTX 4000 SFF uses Ada Lovelace on a 5 nm TSMC process. The A10G's die is 628 mm² with 28,300 million transistors, versus the RTX 4000 SFF's 294 mm² die with 35,800 million transistors. Transistor density favors the RTX 4000 SFF at 121.8M per mm², compared to the A10G's 45.1M per mm².

Clock speeds differ significantly. The A10G runs at a 1320 MHz base and 1710 MHz boost, while the RTX 4000 SFF runs at 720 MHz base and 1560 MHz boost. Memory clocks also differ: the A10G operates at 1563 MHz (12.5 Gbps effective), while the RTX 4000 SFF operates at 1750 MHz (14 Gbps effective). Despite the RTX 4000 SFF's faster memory clock, its narrower 160-bit bus limits bandwidth to 280.0 GB/s versus the A10G's 600.2 GB/s from a 384-bit bus.

Compute resources differ across the board. The A10G has 9216 shading units, 288 TMUs, 96 ROPs, 72 RT cores, and 288 tensor cores. The RTX 4000 SFF has 6144 shading units, 192 TMUs, 64 ROPs, 48 RT cores, and 192 tensor cores. Pixel rate and texture rate follow: the A10G achieves 164.2 GPixel/s and 492.5 GTexel/s, while the RTX 4000 SFF achieves 99.84 GPixel/s and 299.5 GTexel/s. Power and physical specs also diverge — the A10G requires 150 W and an 8-pin EPS connector, while the RTX 4000 SFF requires 70 W and no connector. Both use PCIe 4.0 x16 interfaces and support DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4.

Head-to-Head Benchmarks

The Geekbench OpenCL test shows the A10G scoring 158063 against 124812, a 26.6% delta. This is the smaller of the two wins, yet still a commanding margin. In Geekbench Vulkan, the A10G scores 145863 against 109364, a 33.4% delta. The Vulkan gap is notably larger than OpenCL, suggesting the A10G's advantage grows in APIs that more directly expose hardware capabilities. Both results are consistent with the A10G's raw specifications: it has 50% more shading units, 50% more TMUs, 50% more ROPs, and more than double the memory bandwidth.

The RTX 4000 SFF's closest rival, the NVIDIA GB10, scores 117393, which is only 0.3% higher than the RTX 4000 SFF's 117088. The AMD Radeon PRO W7700 scores 118976, 1.6% higher. These near-parity results indicate the RTX 4000 SFF is competitive within its performance class, despite losing decisively to the A10G. Similarly, the A10G's closest rival, the NVIDIA Tesla V100 PCIe 32 GB, scores 150305, just 1.1% behind the A10G's 151963. The AMD Radeon Pro W6800X scores 160671, which is 5.4% ahead of the A10G, and the NVIDIA A100 PCIe 40 GB scores 162504, 6.5% ahead. These rival comparisons frame the A10G as a mid-tier server accelerator, not the top of the heap, but solidly above the workstation-class RTX 4000 SFF.

The Verdict

The data points to a simple conclusion for compute-bound workloads: the NVIDIA A10G is the superior performer. It wins both benchmarks by 26.6% and 33.4%, offers 64% more FP32 throughput, and provides 24 GB of memory with 600.2 GB/s bandwidth. Its 97th percentile average benchmark score places it among the top 3% of all GPUs, while the RTX 4000 SFF's 95th percentile is respectable but lower. For server deployments where raw compute is the priority and power delivery is available, the A10G is the clear choice from this comparison.

The RTX 4000 SFF wins on physical integration and power efficiency. Its 70 W TDP with no power connectors makes it deployable in systems where the A10G's 150 W requirement and 8-pin EPS connector would be problematic. Its 168 mm length and 69 mm height allow installation in compact chassis, while the A10G's 267 mm length and 112 mm height demand more space. The four mini-DisplayPort outputs enable direct display connection, which the A10G cannot provide. For workstation users who need a compact, low-power card with display capabilities, the RTX 4000 SFF is the appropriate selection despite its lower benchmark scores. The choice, therefore, depends entirely on whether the workload prioritizes compute density or physical flexibility.