AMD Radeon AI PRO R9700S vs NVIDIA RTX 2000 Embedded Ada Generation Comparison

The AMD Radeon AI PRO R9700S and the NVIDIA RTX 2000 Embedded Ada Generation occupy very different positions in the database. The AMD part is a large, high-power discrete GPU built for maximum throughput, while the NVIDIA part is a low-power embedded solution. Benchmark data shows no direct head-to-head scores, but the recorded specifications and percentile rankings provide a clear picture of their intended roles.

The Verdict

The AMD Radeon AI PRO R9700S is the choice for workloads that demand raw compute and large memory capacity. Its 32 GB of GDDR6 memory, 4096 shading units, and 47.84 TFLOPS FP32 performance place it in a completely different performance class than the NVIDIA part. The data shows this card is designed for AI inference, content creation, or any task where memory footprint and parallel throughput dominate.

The NVIDIA RTX 2000 Embedded Ada Generation is the choice for power-constrained or space-constrained systems. Its 50 W TDP, IGP slot width, and lack of power connectors make it suitable for portable devices or embedded systems where cooling and power delivery are limited. Its 8 GB memory and 12.35 TFLOPS FP32 are modest, but the 96 tensor cores provide dedicated AI acceleration that the AMD part lacks.

Neither card wins outright. The AMD card wins on every raw performance metric recorded, but the NVIDIA card wins on efficiency and physical integration. A system builder needing a drop-in expansion card for a desktop workstation should select the AMD part. A system integrator designing a compact, fanless device should select the NVIDIA part.

Architecture Differences

The AMD Radeon AI PRO R9700S uses the Navi 48 chip built on RDNA 4.0 architecture. It is manufactured on a 4 nm process at TSMC, with 53,900 million transistors on a 357 mm² die. The transistor density is 151.0M per mm². The NVIDIA RTX 2000 Embedded Ada Generation uses the AD107 chip built on Ada Lovelace architecture. It is manufactured on a 5 nm process at TSMC, with 18,900 million transistors on a 159 mm² die. The transistor density is 118.9M per mm².

The AMD chip is substantially larger and more complex. It has 4096 shading units, 256 texture mapping units, and 128 raster operation pipelines. The NVIDIA chip has 3072 shading units, 96 texture mapping units, and 48 raster operation pipelines. The AMD part integrates 64 ray tracing cores, while the NVIDIA part has 24 ray tracing cores and 96 tensor cores. The tensor cores are a dedicated feature absent from the AMD specification.

Both GPUs support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The AMD card uses PCIe 5.0 x16, while the NVIDIA card uses PCIe 4.0 x16. The AMD card has four DisplayPort 2.1a outputs. The NVIDIA card's display outputs are listed as "Portable Device Dependent," indicating a flexible but unspecified configuration.

FAQ

Q: Which GPU has higher raw FP32 performance?

A: The AMD Radeon AI PRO R9700S delivers 47.84 TFLOPS FP32, compared to 12.35 TFLOPS for the NVIDIA RTX 2000 Embedded Ada Generation. This is a 3.87x difference in favor of the AMD part.

Q: What is the memory capacity difference?

A: The AMD card has 32 GB of GDDR6 memory on a 256 bit bus, providing 644.6 GB/s bandwidth. The NVIDIA card has 8 GB of GDDR6 memory on a 128 bit bus, providing 256.0 GB/s bandwidth.

Q: Which card consumes less power?

A: The NVIDIA RTX 2000 Embedded Ada Generation has a 50 W TDP and requires no power connectors. The AMD card has a 300 W TDP and requires a single 16-pin connector, with a 700 W suggested PSU.

Q: Does either card support tensor operations?

A: Only the NVIDIA card lists tensor cores, with 96 dedicated units. The AMD card does not list tensor cores in its specifications.

Q: What is the physical size difference?

A: The AMD card is 267 mm in length, 109 mm in height, and 39 mm in width, occupying a dual-slot configuration. The NVIDIA card is listed as IGP (integrated graphics processor) with no dimensions recorded.

Q: Which card was released more recently?

A: The AMD Radeon AI PRO R9700S has a release date of 2025-12-10. The NVIDIA RTX 2000 Embedded Ada Generation has a release date of 2023-03-20.

Specification Differences

The following fields differ between the two GPUs in the database:

• Chip: Navi 48 vs AD107
• Architecture: RDNA 4.0 vs Ada Lovelace
• Process Node: 4 nm vs 5 nm
• Transistors: 53,900 million vs 18,900 million
• Die Size: 357 mm² vs 159 mm²
• Transistor Density: 151.0M / mm² vs 118.9M / mm²
• Base Clock: 1660 MHz vs 1530 MHz
• Boost Clock: 2920 MHz vs 2010 MHz
• Game Clock: 2350 MHz (AMD only)
• Memory Clock: 2518 MHz 20.1 Gbps effective vs 2000 MHz 16 Gbps effective
• Memory Size: 32 GB vs 8 GB
• Memory Bus Width: 256 bit vs 128 bit
• Memory Bandwidth: 644.6 GB/s vs 256.0 GB/s
• Shading Units: 4096 vs 3072
• TMUs: 256 vs 96
• ROPs: 128 vs 48
• RT Cores: 64 vs 24
• Tensor Cores: None vs 96
• Pixel Rate: 373.8 GPixel/s vs 96.48 GPixel/s
• Texture Rate: 747.5 GTexel/s vs 193.0 GTexel/s
• FP32: 47.84 TFLOPS vs 12.35 TFLOPS
• FP16: 47.84 TFLOPS (1:1) vs 12.35 TFLOPS (1:1)
• TDP: 300 W vs 50 W
• Slot Width: Dual-slot vs IGP
• Power Connectors: 1x 16-pin vs None
• Suggested PSU: 700 W vs None
• Bus Interface: PCIe 5.0 x16 vs PCIe 4.0 x16
• Display Outputs: 4x DisplayPort 2.1a vs Portable Device Dependent
• Dimensions: 267 mm x 109 mm x 39 mm vs None
• Release Date: 2025-12-10 vs 2023-03-20
• Predecessor: Radeon Pro Vega vs Ampere-MW
• Successor: None vs Blackwell-MW

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark scores for these two GPUs. Both have an average benchmark score of 0 and a percentile rank of 50 against all GPUs. No wins are recorded for either side in the head-to-head comparison table.

However, the specification data allows a direct comparison of theoretical performance limits. The AMD card's FP32 output of 47.84 TFLOPS is 3.87x higher than the NVIDIA card's 12.35 TFLOPS. The pixel rate difference is more pronounced: 373.8 GPixel/s versus 96.48 GPixel/s, a 3.87x gap. The texture rate shows the same ratio: 747.5 GTexel/s versus 193.0 GTexel/s.

The memory bandwidth difference is 2.52x in favor of the AMD card, with 644.6 GB/s versus 256.0 GB/s. The AMD card also has 4x the memory capacity. The clock speeds show a smaller gap: the AMD boost clock of 2920 MHz is 45% higher than the NVIDIA boost clock of 2010 MHz.

The NVIDIA card counters with its 96 tensor cores, which provide dedicated hardware for matrix operations. The AMD card has no equivalent unit in its specification. The NVIDIA card also uses 6x less power, with a 50 W TDP versus 300 W.

Where Each One Wins

The AMD Radeon AI PRO R9700S wins in every recorded throughput metric. Its 4096 shading units, 256 TMUs, and 128 ROPs provide 3.87x the pixel rate and texture rate of the NVIDIA part. The 32 GB memory capacity allows loading large datasets, AI models, or high-resolution textures without spilling to system memory. The 644.6 GB/s bandwidth supports these large datasets with high-speed access. The PCIe 5.0 x16 interface doubles the potential host transfer rate compared to the NVIDIA card's PCIe 4.0 x16.

The AMD card suits desktop workstations with available power and cooling. Its dual-slot, 267 mm length fits standard tower cases. The four DisplayPort 2.1a outputs support multi-monitor setups with modern display standards. The 64 ray tracing cores provide hardware acceleration for ray-traced rendering workloads.

The NVIDIA RTX 2000 Embedded Ada Generation wins on power efficiency and integration flexibility. The 50 W TDP is 6x lower than the AMD card's 300 W TDP. The IGP slot width and lack of power connectors mean it can be soldered directly onto a motherboard or integrated into a compact device. The absence of recorded dimensions confirms its role as a board-level component rather than a standalone expansion card.

The NVIDIA card's 96 tensor cores make it the designated choice for AI inference workloads that rely on tensor operations. The 8 GB memory is sufficient for smaller models, and the 256.0 GB/s bandwidth is adequate for their data flow. The PCIe 4.0 x16 interface, while older than PCIe 5.0, remains compatible with a wide range of embedded platforms.

The release dates reinforce this split. The AMD card launched in December 2025, targeting current-generation workloads. The NVIDIA card launched in March 2023 and has a successor listed as Blackwell-MW, indicating it serves an ongoing embedded market segment where long product lifecycles are common.

In practical terms, the AMD card is a performance-first solution for users who need maximum compute and memory capacity. The NVIDIA card is an efficiency-first solution for developers who need GPU acceleration in power-limited or space-limited environments. The data shows no overlap in their design priorities.