NVIDIA B300 vs NVIDIA GeForce RTX 4060 AD106 Comparison

Head-to-Head Benchmarks

The database shows no recorded head-to-head benchmark entries for the NVIDIA B300 versus the NVIDIA GeForce RTX 4060 AD106. Both parts have empty benchmark arrays, an average benchmark score of 0, and a percentile ranking of 50 among all GPUs. This means the comparison must be drawn entirely from the specification records rather than from direct performance measurements.

What the recorded data does show is an enormous gap in raw compute capability. The B300 delivers 76.99 TFLOPS of FP32 performance, while the RTX 4060 AD106 delivers 15.11 TFLOPS. That puts the B300 at roughly 5.1 times the FP32 throughput of the RTX 4060 AD106. In FP16 workloads, the divergence is far more extreme: the B300 reaches 1,231.8 TFLOPS using its 16:1 ratio, while the RTX 4060 AD106 reaches 15.11 TFLOPS at a 1:1 ratio. The B300’s FP16 figure is approximately 81.5 times higher, reflecting its tensor-core-focused design for AI training and inference.

Memory bandwidth tells a similar story. The B300 accesses 4.10 TB/s of bandwidth across a 4096-bit bus, whereas the RTX 4060 AD106 manages 272.0 GB/s over a 128-bit bus. The B300’s bandwidth advantage is about 15.1 times. Texture rate favors the B300 at 1,202.9 GTexel/s versus 236.2 GTexel/s, a 5.1 times difference. Pixel rate, however, favors the RTX 4060 AD106: 118.1 GPixel/s versus 48.77 GPixel/s. That is a 2.4 times advantage for the smaller card, a result of its higher ROP count (48 versus 24) and higher boost clock (2460 MHz versus 2032 MHz).

Architecture Differences

The two GPUs come from different NVIDIA architectures and target entirely different market segments. The B300 is built on the Blackwell Ultra architecture, using the GB110 chip, and belongs to the Server Blackwell (Bxx) generation. The RTX 4060 AD106 uses the Ada Lovelace architecture, built around the AD106 chip, and sits in the GeForce 40-series lineup.

Both are fabricated on a 5 nm process at TSMC, but the transistor counts diverge sharply. The B300 packs 104,000 million transistors, while the RTX 4060 AD106 contains 22,900 million. That is a 4.5 times difference in transistor count. The RTX 4060 AD106 has a recorded die size of 188 mm² and a transistor density of 121.8M per mm². The B300’s die size and density are not recorded in the database.

The B300’s memory subsystem uses HBM3e with 144 GB capacity, while the RTX 4060 AD106 uses GDDR6 with 8 GB capacity. The B300 has 18 times the memory capacity. The B300’s memory clock is listed as 2000 MHz with 8 Gbps effective, while the RTX 4060 AD106’s memory clock is 2125 MHz with 17 Gbps effective. The B300’s much wider 4096-bit bus compensates for its lower per-pin data rate.

Compute resource counts also differ substantially. The B300 has 18,944 shading units, 592 texture mapping units, and 592 tensor cores. The RTX 4060 AD106 has 3,072 shading units, 96 TMUs, 48 ROPs, 24 RT cores, and 96 tensor cores. The B300 has no recorded RT core count, so ray-tracing hardware cannot be directly compared. The B300’s shading unit count is 6.2 times higher, its TMU count is 6.2 times higher, and its tensor core count is 6.2 times higher.

The B300 is a server-oriented SXM module with no display outputs. The RTX 4060 AD106 is a dual-slot card with 1x HDMI 2.1 and 3x DisplayPort 1.4a outputs. The B300 uses a PCIe 5.0 x16 interface, while the RTX 4060 AD106 uses PCIe 4.0 x8. The B300 requires a suggested PSU of 1800 W, while the RTX 4060 AD106 requires 300 W. The B300’s TDP is 1400 W; the RTX 4060 AD106’s TDP is 115 W.

The B300 supports no recorded API levels for DirectX, OpenGL, or Vulkan, reflecting its non-graphics server role. The RTX 4060 AD106 supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Where Each One Wins

The B300 wins decisively in compute-heavy workloads. Its FP32 throughput of 76.99 TFLOPS and FP16 throughput of 1,231.8 TFLOPS make it suited for AI training, scientific simulation, and large-scale data processing. The 144 GB HBM3e memory pool and 4.10 TB/s bandwidth handle datasets far beyond what a client GPU can address. The 592 tensor cores, matched to the 1,231.8 TFLOPS FP16 figure, point to neural network workloads as the primary use case.

The RTX 4060 AD106 wins in graphics output and client-side workloads. Its pixel rate of 118.1 GPixel/s, nearly 2.5 times the B300’s, demonstrates faster rasterization. Its 48 ROPs double the B300’s 24 ROPs. The RTX 4060 AD106 also has RT cores, 24 of them, which the B300 lacks in the recorded data. Display outputs are present on the RTX 4060 AD106, while the B300 has none. The RTX 4060 AD106’s boost clock of 2460 MHz exceeds the B300’s 2032 MHz, which helps in latency-sensitive client tasks.

Power consumption favors the RTX 4060 AD106. The 115 W TDP versus 1400 W TDP means the client card fits into standard desktop builds with a 300 W suggested PSU. The B300’s 1800 W suggested PSU and SXM module form factor require server infrastructure.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The NVIDIA B300 delivers 76.99 TFLOPS of FP32 performance, compared to 15.11 TFLOPS for the NVIDIA GeForce RTX 4060 AD106. The B300 is approximately 5.1 times faster in FP32.

Q: What is the memory capacity difference?

A: The B300 has 144 GB of HBM3e memory, while the RTX 4060 AD106 has 8 GB of GDDR6 memory. The B300 offers 18 times the memory capacity.

Q: Which GPU has higher memory bandwidth?

A: The B300 provides 4.10 TB/s of bandwidth over a 4096-bit bus. The RTX 4060 AD106 provides 272.0 GB/s over a 128-bit bus. The B300’s bandwidth is roughly 15.1 times higher.

Q: Does the RTX 4060 AD106 support ray tracing?

A: Yes, the RTX 4060 AD106 has 24 RT cores. The B300’s record does not include an RT core count, so its ray-tracing capability is not documented in the database.

Q: What is the TDP of each GPU?

A: The B300 has a TDP of 1400 W, while the RTX 4060 AD106 has a TDP of 115 W. The B300’s suggested PSU is 1800 W; the RTX 4060 AD106’s suggested PSU is 300 W.

Q: Which GPU has display outputs?

A: The RTX 4060 AD106 has 1x HDMI 2.1 and 3x DisplayPort 1.4a outputs. The B300 has no display outputs.

The Verdict

The data points to two separate products for two separate jobs. The NVIDIA B300 is a server accelerator built around massive memory capacity, extreme FP16 throughput, and high-bandwidth HBM3e. Its 144 GB memory pool and 4.10 TB/s bandwidth serve AI model training and inference workloads. The 592 tensor cores and 1,231.8 TFLOPS FP16 output confirm that orientation. The lack of display outputs and the SXM module form factor exclude it from client use.

The NVIDIA GeForce RTX 4060 AD106 is a client graphics card. Its 48 ROPs and 118.1 GPixel/s pixel rate deliver rasterization throughput that the B300 cannot match. The 24 RT cores provide hardware ray tracing. The 1x HDMI 2.1 and 3x DisplayPort 1.4a outputs connect to displays. The 115 W TDP and 300 W suggested PSU fit standard desktop power delivery.

For a builder assembling a workstation for rendering or gaming, the RTX 4060 AD106 is the operative choice. For a data center operator provisioning compute for AI workloads, the B300 is the operative choice. The two GPUs do not compete in the same market segment, and the benchmark data does not show direct head-to-head results. The specification records, however, show complementary strengths: the B300 for compute density and memory capacity, the RTX 4060 AD106 for graphics output and client power efficiency.

Specification Differences

| Specification | NVIDIA B300 | NVIDIA GeForce RTX 4060 AD106 |

|----------------|-------------|-------------------------------|

| Architecture | Blackwell Ultra | Ada Lovelace |

| Chip | GB110 | AD106 |

| Generation | Server Blackwell (Bxx) | GeForce 40 |

| Process Node | 5 nm | 5 nm |

| Foundry | TSMC | TSMC |

| Transistors | 104,000 million | 22,900 million |

| Die Size | Not recorded | 188 mm² |

| Transistor Density | Not recorded | 121.8M / mm² |

| Base Clock | 1665 MHz | 1830 MHz |

| Boost Clock | 2032 MHz | 2460 MHz |

| Memory Clock | 2000 MHz, 8 Gbps effective | 2125 MHz, 17 Gbps effective |

| Memory Size | 144 GB | 8 GB |

| Memory Type | HBM3e | GDDR6 |

| Memory Bus Width | 4096 bit | 128 bit |

| Memory Bandwidth | 4.10 TB/s | 272.0 GB/s |

| Shading Units | 18,944 | 3,072 |

| TMUs | 592 | 96 |

| ROPs | 24 | 48 |

| RT Cores | Not recorded | 24 |

| Tensor Cores | 592 | 96 |

| Pixel Rate | 48.77 GPixel/s | 118.1 GPixel/s |

| Texture Rate | 1,202.9 GTexel/s | 236.2 GTexel/s |

| FP32 Performance | 76.99 TFLOPS | 15.11 TFLOPS |

| FP16 Performance | 1,231.8 TFLOPS (16:1) | 15.11 TFLOPS (1:1) |

| TDP | 1400 W | 115 W |

| Slot Width | SXM Module | Dual-slot |

| Power Connectors | Not recorded | 1x 12-pin |

| Suggested PSU | 1800 W | 300 W |

| Bus Interface | PCIe 5.0 x16 | PCIe 4.0 x8 |

| Display Outputs | No outputs | 1x HDMI 2.1, 3x DisplayPort 1.4a |

| DirectX | Not recorded | 12 Ultimate (12_2) |

| OpenGL | Not recorded | 4.6 |

| Vulkan | Not recorded | 1.4 |

| Production Status | Active | End-of-life |

| Release Date | 2025-09-10 | 2024-03-31 |

| Predecessor | Server Hopper | GeForce 30 |

| Successor | Server Rubin | GeForce 50 |