AMD Radeon Vega Frontier Edition vs NVIDIA A100 PCIe 40 GB Comparison

NVIDIA A100 PCIe 40 GB and AMD Radeon Vega Frontier Edition occupy very different positions in the database, separated by architecture generation, memory philosophy, and compute focus. The recorded benchmark data shows a clear performance hierarchy, but the story is more nuanced than a simple winner. The A100 dominates in raw compute workloads, while the Vega Frontier Edition, despite its age, retains relevance in specific API environments and remains a functional display-capable card where the A100 offers none.

Where Each One Wins

The NVIDIA A100 PCIe 40 GB wins decisively in every recorded head-to-head benchmark in this database. Its Geekbench OpenCL score of 178,627 dwarfs the Vega Frontier Edition's 76,111, a 134.7% advantage. In Vulkan, the A100 scores 146,380 against the Vega's 71,937, a 103.5% lead. These are not narrow margins; they represent a generational gap in compute throughput. The A100's 19.49 TFLOPS FP32 and 77.97 TFLOPS FP16 (4:1) figures, combined with 432 tensor cores, make it a purpose-built accelerator for dense numerical workloads. The data indicates the A100 is designed for server compute, not display output, as it features no display outputs at all.

The AMD Radeon Vega Frontier Edition wins in the category of usability and API coverage. It offers 1x HDMI 2.0b and 3x DisplayPort 1.4a outputs, making it a functional workstation GPU for visual computing. It also supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.3, whereas the A100's API support fields are null in the database. The Vega's Geekbench Metal score of 72,061 indicates it can handle Apple's graphics API, a test the A100 does not participate in. For users who need a GPU that can both compute and drive a display, the Vega Frontier Edition is the only option of the two, despite its lower raw scores.

FAQ

Q: Which GPU has the higher average benchmark score?

A: The NVIDIA A100 PCIe 40 GB has an average benchmark score of 162,504, which is more than double the AMD Radeon Vega Frontier Edition's 73,370. The A100 sits in the 97th percentile of all GPUs, while the Vega is in the 91st percentile.

Q: How large is the performance gap in OpenCL?

A: In the Geekbench OpenCL test, the A100 scores 178,627 compared to the Vega's 76,111. This results in a delta of 134.7%, meaning the A100 is roughly 2.35 times faster in this specific workload.

Q: Does the Vega Frontier Edition support any API that the A100 does not?

A: Yes. The Vega Frontier Edition supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.3 according to the database. The A100's API fields are listed as null, and it has no display outputs, confirming its role as a compute-only accelerator.

Q: What is the memory configuration difference?

A: The A100 has 40 GB of HBM2e memory on a 5120-bit bus, yielding 1.56 TB/s bandwidth. The Vega Frontier Edition has 16 GB of HBM2 on a 2048-bit bus, providing 483.8 GB/s bandwidth. The A100 offers 2.5 times the memory capacity and roughly 3.2 times the bandwidth.

Q: Which GPU is more power-efficient based on the data?

A: The A100 has a 250 W TDP while the Vega Frontier Edition has a 300 W TDP. Despite the lower power draw, the A100 delivers substantially higher benchmark scores, indicating significantly better performance per watt in the recorded tests.

Q: What are the nearest rivals for each GPU?

A: For the A100, the nearest rivals are the AMD Radeon Pro W6800X (average score 160,671, delta 1.1%), AMD Radeon PRO W7800 (164,894, delta -1.4%), NVIDIA RTX A5500 (165,217, delta -1.6%), and NVIDIA RTX 4500 Ada Generation (166,094, delta -2.2%). For the Vega Frontier Edition, the nearest rivals are the AMD Radeon Pro Vega 64 (72,379, delta 1.4%), NVIDIA TITAN X Pascal (72,098, delta 1.8%), AMD Radeon RX 6650M (71,768, delta 2.2%), and AMD Radeon RX 6600 LE (70,829, delta 3.6%).

Head-to-Head Benchmarks

The two recorded head-to-head benchmarks are both Geekbench tests, and both show the A100 winning with overwhelming margins. In Geekbench OpenCL, the A100's 178,627 score versus the Vega's 76,111 represents a 134.7% delta. This is the largest gap in the comparison. The A100's advantage stems from its 6,912 shading units, 432 texture mapping units, and 160 ROPs, compared to the Vega's 4,096 shading units, 256 TMUs, and 64 ROPs. The A100 also runs at a boost clock of 1410 MHz with a base of 765 MHz, while the Vega boosts to 1600 MHz from a 1382 MHz base. Despite the Vega's higher clock speeds, the A100's wider architecture and newer process node (7 nm TSMC versus 14 nm GlobalFoundries) produce far higher throughput.

In Geekbench Vulkan, the A100 scores 146,380 versus the Vega's 71,937, a 103.5% delta. This is slightly narrower than the OpenCL gap, but still a dominant victory. The A100's FP32 rate of 19.49 TFLOPS more than doubles the Vega's 13.11 TFLOPS. The pixel rate tells a similar story: the A100 delivers 225.6 GPixel/s against the Vega's 102.4 GPixel/s. Texture rate favors the A100 as well, 609.1 GTexel/s versus 409.6 GTexel/s. These hardware specifications align with the benchmark outcomes, showing that the A100's architectural advantages translate directly into measured performance.

The Vega's only recorded win is not a head-to-head comparison but a unique test: Geekbench Metal, where it scores 72,061. This is close to its OpenCL score of 76,111, suggesting consistent performance across APIs. However, this test has no A100 counterpart in the database, so no direct comparison is possible.

Specification Differences

The two GPUs differ in nearly every major specification category. The A100 uses a 7 nm process node from TSMC, while the Vega Frontier Edition uses a 14 nm node from GlobalFoundries. Transistor counts reflect this: the A100 packs 54,200 million transistors on an 826 mm² die, while the Vega has 12,500 million on a 495 mm² die. The transistor density is 65.6M per mm² for the A100 and 25.3M per mm² for the Vega, highlighting the A100's denser design.

Memory is another stark contrast. The A100 has 40 GB of HBM2e with a 5120-bit bus and 1.56 TB/s bandwidth. The Vega has 16 GB of HBM2 with a 2048-bit bus and 483.8 GB/s bandwidth. The A100's memory clock is listed as 1215 MHz (2.4 Gbps effective), while the Vega's is 945 MHz (1890 Mbps effective). The A100's memory bandwidth is more than triple that of the Vega.

Compute resources differ significantly. The A100 has 6,912 shading units, 432 TMUs, and 160 ROPs, plus 432 tensor cores. The Vega has 4,096 shading units, 256 TMUs, and 64 ROPs, with no tensor cores listed. The A100's FP32 output is 19.49 TFLOPS versus the Vega's 13.11 TFLOPS. FP16 performance is 77.97 TFLOPS (4:1) for the A100 and 26.21 TFLOPS (2:1) for the Vega. The A100's tensor cores give it a dedicated path for AI workloads that the Vega lacks entirely.

Power and connectivity also diverge. The A100 has a 250 W TDP, requires a single 8-pin EPS connector, and suggests a 600 W PSU. The Vega has a 300 W TDP, needs two 8-pin connectors, and suggests a 700 W PSU. The A100 uses PCIe 4.0 x16, while the Vega uses PCIe 3.0 x16. The A100 has no display outputs, whereas the Vega offers 1x HDMI 2.0b and 3x DisplayPort 1.4a. Both are dual-slot cards with identical dimensions: 267 mm length and 111 mm height.

Architecture Differences

The A100 is built on NVIDIA's Ampere architecture, specifically the GA100 chip, and belongs to the Server Ampere (Axx) generation. It uses a 7 nm process from TSMC. The Vega Frontier Edition uses AMD's GCN 5.0 architecture on the Vega 10 chip, part of the Radeon Pro Vega (Vega Series) generation, fabricated on a 14 nm process by GlobalFoundries. These are fundamentally different design philosophies: Ampere is optimized for parallel compute with dedicated tensor cores, while GCN 5.0 is a general-purpose GPU architecture with a focus on graphics and compute balance.

The A100's 432 tensor cores are a defining feature absent from the Vega. These tensor cores enable accelerated matrix math for deep learning and AI inference, workloads where the Vega cannot compete. The A100's FP16 rate of 77.97 TFLOPS (4:1) versus the Vega's 26.21 TFLOPS (2:1) shows the A100's advantage in reduced-precision compute, a key requirement for neural network training.

The Vega's architecture includes a 2:1 FP16 ratio, meaning it can process half-precision at twice the FP32 rate. The A100's 4:1 ratio means it can process FP16 at four times the FP32 rate, a more aggressive design for AI workloads. The Vega's lack of tensor cores means it relies on traditional shader units for all compute, limiting its efficiency in matrix operations.

The memory subsystems also reflect architectural choices. The A100's HBM2e with 1.56 TB/s bandwidth is designed for massive data movement in server environments. The Vega's HBM2 with 483.8 GB/s is adequate for its era but bottlenecks on large datasets. The A100's 40 GB capacity allows it to hold larger models and datasets in memory, reducing the need for frequent data transfers.

Release dates show the generational gap: the Vega Frontier Edition launched in June 2017, while the A100 arrived in June 2020. The Vega's predecessor is listed as Radeon Pro Polaris, and its successor is Radeon Pro Navi. The A100's predecessor is Tesla Turing, and its successor is Server Ada. Both are end-of-life products in the database.

The Verdict

The data clearly favors the NVIDIA A100 PCIe 40 GB for any compute-intensive workload. Its OpenCL score of 178,627 is 134.7% higher than the Vega's 76,111, and its Vulkan score of 146,380 is 103.5% higher. The A100's 40 GB HBM2e memory, 1.56 TB/s bandwidth, 432 tensor cores, and 77.97 TFLOPS FP16 performance make it the superior choice for AI training, scientific simulation, and large-scale data processing. Its 97th percentile ranking among all GPUs, compared to the Vega's 91st, confirms its top-tier status. The A100 also draws less power (250 W versus 300 W) and requires a smaller PSU (600 W versus 700 W), offering better efficiency alongside higher performance.

The AMD Radeon Vega Frontier Edition is the choice for users who need display outputs and broad API support. Its 1x HDMI 2.0b and 3x DisplayPort 1.4a outputs allow it to drive monitors, something the A100 cannot do. Its support for DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.3 makes it more versatile for graphics workloads. Its Geekbench Metal score of 72,061 shows it can handle Apple's ecosystem, a capability absent from the A100's profile. For workstation users who need a single GPU for both compute and visualization, the Vega remains functional, though its 16 GB memory and 483.8 GB/s bandwidth are limiting factors.

The database shows no benchmark where the Vega wins against the A100. The A100 has 2 wins and 0 losses in the head-to-head comparisons. However, the Vega's existence in the database with its unique API and display capabilities means it serves a different purpose. The A100 is a server accelerator with no video outputs; the Vega is a workstation card with full display support. Users should select based on workload: the A100 for pure compute density and AI acceleration, the Vega for scenarios requiring a physical display and legacy API compatibility. The Vega's launch MSRP was 999 USD, a fact recorded in the database, but the A100's launch MSRP is not listed.