AMD Ryzen Z2 A GPU vs NVIDIA B300 Comparison
AMD Ryzen Z2 A GPU
B300
Analysis: AMD Ryzen Z2 A GPU vs NVIDIA B300
The Verdict
The database places the AMD Ryzen Z2 A GPU and the NVIDIA B300 at the same overall percentile versus all GPUs (50th), yet the recorded specifications reveal two devices engineered for entirely separate purposes. The Ryzen Z2 A GPU is a low-power, compact console-class part, while the B300 is a massive server accelerator. For a user constrained to a 15 W power envelope with a single USB Type-C display output, the Ryzen Z2 A GPU is the only viable option from this data. For workloads demanding enormous memory capacity and compute throughput, the B300 is the clear choice. There is no overlap in their intended deployment scenarios based on the recorded figures.
Where Each One Wins
The Ryzen Z2 A GPU wins in portability and power efficiency. Its 15 W TDP allows operation in systems where the B300's 1400 W TDP would be impossible to cool or power. The Ryzen Z2 A GPU includes a display output (1x USB Type-C), enabling direct video connection, whereas the B300 lists no outputs. The Ryzen Z2 A GPU also supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, making it suitable for consumer graphics applications.
The NVIDIA B300 wins in raw compute and memory capacity. It delivers 76.99 TFLOPS FP32 compared to 1.638 TFLOPS for the Ryzen Z2 A GPU, a difference of roughly 47 times. Its 144 GB of HBM3e memory dwarfs the 16 GB LPDDR5 on the AMD part. The B300 provides 4.10 TB/s memory bandwidth versus 102.4 GB/s, over 40 times greater. The B300 also includes 592 tensor cores, a feature entirely absent from the Ryzen Z2 A GPU's specification list, positioning it for AI and server workloads.
Architecture Differences
The two GPUs come from different architectural lineages. The AMD Ryzen Z2 A GPU uses the Van Gogh chip built on RDNA 2.0 architecture, fabricated on a 7 nm process at TSMC. It contains 2,400 million transistors on a 163 mm² die, yielding a transistor density of 14.7M per mm². Its compute configuration includes 512 shading units, 32 texture mapping units, 16 ROPs, and 8 ray tracing cores. The memory subsystem uses a 128 bit bus with LPDDR5 memory.
The NVIDIA B300 uses the GB110 chip based on Blackwell Ultra architecture, also fabricated at TSMC but on a 5 nm process. The B300 packs 104,000 million transistors, though no die size or transistor density is recorded. Its compute array is far larger: 18,944 shading units, 592 texture mapping units, 24 ROPs, and 592 tensor cores. The memory interface is a 4096 bit bus using HBM3e. The B300 does not list ray tracing cores, DirectX, OpenGL, or Vulkan support in the database, consistent with a server-oriented part.
Clock behavior differs significantly. The Ryzen Z2 A GPU runs at a 1000 MHz base and 1600 MHz boost. The B300 runs at 1665 MHz base and 2032 MHz boost. Memory clocks also diverge: the AMD part uses 800 MHz with 6.4 Gbps effective, while the B300 uses 2000 MHz with 8 Gbps effective. The B300's advantage in memory bus width and type explains its massive bandwidth lead.
The physical form factor and interface also separate them. The Ryzen Z2 A GPU has no recorded slot width, power connectors, suggested PSU, or bus interface, but its 15 W TDP implies minimal power delivery requirements. The B300 is an SXM Module with a PCIe 5.0 x16 bus interface and a suggested PSU of 1800 W. The B300 has no display outputs, reinforcing its role as a compute accelerator rather than a graphics card.
FAQ
Q: Which GPU has higher FP32 compute performance?
A: The NVIDIA B300, at 76.99 TFLOPS, versus 1.638 TFLOPS for the AMD Ryzen Z2 A GPU.
Q: What memory configurations do the two GPUs use?
A: The AMD Ryzen Z2 A GPU uses 16 GB of LPDDR5 on a 128 bit bus with 102.4 GB/s bandwidth. The NVIDIA B300 uses 144 GB of HBM3e on a 4096 bit bus with 4.10 TB/s bandwidth.
Q: Do both GPUs support ray tracing?
A: The AMD Ryzen Z2 A GPU lists 8 ray tracing cores. The NVIDIA B300 does not list ray tracing cores in the database.
Q: Which GPU can connect to a display?
A: The AMD Ryzen Z2 A GPU has 1x USB Type-C output. The NVIDIA B300 lists no outputs.
Q: What is the power consumption difference?
A: The AMD Ryzen Z2 A GPU has a 15 W TDP. The NVIDIA B300 has a 1400 W TDP and suggests an 1800 W power supply.
Q: Which GPU has tensor cores?
A: The NVIDIA B300 includes 592 tensor cores. The AMD Ryzen Z2 A GPU does not list tensor cores.
Head-to-Head Benchmarks
The head-to-head benchmark table is empty, so the comparison relies entirely on recorded specifications. The largest single gap appears in memory bandwidth: the B300's 4.10 TB/s versus the Ryzen Z2 A GPU's 102.4 GB/s. In decimal terms, the B300 provides roughly 40 times the bandwidth, which directly impacts memory-bound server workloads. FP32 throughput shows a similar chasm: 76.99 TFLOPS versus 1.638 TFLOPS, a factor of approximately 47. The B300's FP16 performance of 1,231.8 TFLOPS (16:1) versus the AMD part's 3.277 TFLOPS (2:1) highlights a different ratio strategy, with the B300 relying on reduced precision for massive throughput.
Texture and pixel rates favor the B300 as well. The B300 reaches 1,202.9 GTexel/s versus 51.20 GTexel/s for the AMD part. Pixel rate is closer: 48.77 GPixel/s for the B300 versus 25.60 GPixel/s for the Ryzen Z2 A GPU, a modest 1.9 times advantage. This narrower gap suggests that the B300's ROP count of 24, higher than the AMD part's 16, does not scale proportionally with its shading unit count, a common pattern for compute-focused accelerators.
The AMD part counters with architectural completeness for consumer graphics. It supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, while the B300 lists no API support. The AMD GPU also has a display output, enabling it to function as a visible graphics solution. Clock speeds show the B300 running higher: 1665 MHz base versus 1000 MHz, and 2032 MHz boost versus 1600 MHz. Despite lower clocks, the AMD part's far smaller transistor count (2,400 million versus 104,000 million) and die size (163 mm² versus unrecorded) illustrate its efficiency-focused design.
Specification Differences
The following fields differ between the AMD Ryzen Z2 A GPU and the NVIDIA B300:
- Chip: Van Gogh versus GB110
- Architecture: RDNA 2.0 versus Blackwell Ultra
- Generation: Console GPU (AMD) versus Server Blackwell (Bxx)
- Process Node: 7 nm versus 5 nm
- Transistors: 2,400 million versus 104,000 million
- Die Size: 163 mm² versus not recorded
- Transistor Density: 14.7M / mm² versus not recorded
- Base Clock: 1000 MHz versus 1665 MHz
- Boost Clock: 1600 MHz versus 2032 MHz
- Memory Clock: 800 MHz 6.4 Gbps effective versus 2000 MHz 8 Gbps effective
- Memory Size: 16 GB versus 144 GB
- Memory Type: LPDDR5 versus HBM3e
- Memory Bus Width: 128 bit versus 4096 bit
- Memory Bandwidth: 102.4 GB/s versus 4.10 TB/s
- Shading Units: 512 versus 18,944
- TMUs: 32 versus 592
- ROPs: 16 versus 24
- RT Cores: 8 versus not listed
- Tensor Cores: not listed versus 592
- Pixel Rate: 25.60 GPixel/s versus 48.77 GPixel/s
- Texture Rate: 51.20 GTexel/s versus 1,202.9 GTexel/s
- FP32: 1.638 TFLOPS versus 76.99 TFLOPS
- FP16: 3.277 TFLOPS (2:1) versus 1,231.8 TFLOPS (16:1)
- TDP: 15 W versus 1400 W
- Slot Width: not recorded versus SXM Module
- Suggested PSU: not recorded versus 1800 W
- Bus Interface: not recorded versus PCIe 5.0 x16
- Display Outputs: 1x USB Type-C versus no outputs
- DirectX: 12 Ultimate (12_2) versus not listed
- OpenGL: 4.6 versus not listed
- Vulkan: 1.4 versus not listed
- Release Date: 2024-12-31 versus 2025-09-10
- Predecessor: not recorded versus Server Hopper
- Successor: not recorded versus Server Rubin
The data indicates two products with no meaningful competition between them. The Ryzen Z2 A GPU targets low-power consumer devices with display support and standard graphics APIs. The B300 targets high-throughput server compute with massive memory, tensor cores, and no display path. Each wins in its own domain, and the recorded figures confirm that any direct comparison is a measure of design philosophy rather than performance equivalence.