AMD Instinct MI350P vs NVIDIA B200 SXM6 Comparison

Where Each One Wins

The recorded data shows no benchmark wins for either part in this comparison. Both the AMD Instinct MI350P and the NVIDIA B200 SXM6 have empty benchmark result sets, with zero wins recorded on each side. This means the head-to-head benchmark section cannot draw on measured performance deltas from the database. Instead, the specification sheets provide the only quantitative basis for splitting workloads.

The AMD Instinct MI350P targets compute tasks that favor its CDNA 4.0 architecture with 8,192 shading units and a texture rate of 1,126.4 GTexel/s. Its FP32 throughput of 36.04 TFLOPS and matching FP16 throughput of 36.04 TFLOPS (1:1) indicate a design where single-precision and half-precision workloads receive equal attention. The 144 GB HBM3e memory with an 8,192-bit bus and 8.19 TB/s bandwidth positions it for memory-capacity-sensitive inference or training scenarios where 144 GB fits the working set.

The NVIDIA B200 SXM6, by contrast, delivers 69.34 TFLOPS in both FP32 and FP16 (1:1), nearly double the AMD part's compute ceiling. Its 18,944 shading units and 592 tensor cores point toward tensor-heavy operations such as transformer inference, large-scale matrix multiplication, or deep learning training loops. The 180 GB HBM3e memory, also on an 8,192-bit bus with 8.19 TB/s bandwidth, offers 36 GB more capacity than the MI350P. A pixel rate of 43.92 GPixel/s and 24 ROPs appear, though the absence of display outputs means these do not serve graphics workloads.

Use-case splits emerge from these raw figures. For FP32-dominated scientific simulation, the B200 SXM6 holds a clear arithmetic advantage. For FP16 mixed-precision training, both parts run at 1:1 ratios, but the B200's higher absolute TFLOPS again favors it. The MI350P's lower shading-unit count but identical memory bandwidth suggests it can sustain memory-bound workloads at reduced compute overhead, potentially improving efficiency per watt in certain memory-heavy inference tasks. The B200's 180 GB capacity gives it an edge when model weights or datasets exceed 144 GB, avoiding sharding or offloading.

Architecture Differences

The process nodes differ substantially. The AMD Instinct MI350P uses a 3 nm process from TSMC, while the NVIDIA B200 SXM6 uses a 5 nm process, also from TSMC. Transistor counts diverge sharply: AMD packs 73,000 million transistors on a 1,190 mm² die, yielding a transistor density of 61.3M per mm². NVIDIA packs 208,000 million transistors on a 1,628 mm² die, yielding 127.8M per mm². The B200's density is more than double, reflecting a more compact logic layout despite the larger overall die.

Architecture generations differ: AMD uses CDNA 4.0 in the Instinct (MIx) generation, while NVIDIA uses Blackwell in the Server Blackwell (Bxx) generation. The MI350P's chip is labeled MI350 128CU, suggesting a compute-unit-based design. The B200's chip is GB100. Clock behavior also contrasts. The MI350P has a base clock of 1000 MHz and a boost clock of 2200 MHz. The B200 has a base clock of 120 MHz and a boost clock of 1830 MHz. The B200's very low base clock implies aggressive power management, ramping to boost under load, whereas the MI350P runs closer to a traditional steady-state clock.

Memory subsystems match in type and bus width: both use HBM3e with an 8,192-bit bus and 8.19 TB/s bandwidth. Memory clock is identical at 2000 MHz, 8 Gbps effective. Capacity differs: 144 GB on the MI350P versus 180 GB on the B200. Shading units differ (8,192 vs 18,944), TMUs differ (512 vs 592), and ROPs differ (0 vs 24). The MI350P reports 0 ROPs and 0 MPixel/s pixel rate, while the B200 reports 24 ROPs and 43.92 GPixel/s. Neither part has RT cores listed, and the MI350P has no tensor core count listed, while the B200 lists 592.

Bus interfaces differ: the MI350P uses PCIe 5.0 x16, the B200 uses PCIe 6.0 x16. Power profiles differ: the MI350P has a TDP of 600 W with a 1x 16-pin power connector and a suggested PSU of 1000 W. The B200 has a TDP of 1000 W, no power connector listed, and a suggested PSU of 1400 W. The MI350P is a dual-slot card measuring 267 mm in length, 111 mm in height, and 40 mm in width. The B200 is an SXM module with no dimensions recorded. The MI350P has no production status listed; the B200 is marked Active. Release dates differ: the MI350P is dated 2026-05-06, the B200 is dated 2024-10-31. The MI350P lists Radeon Instinct as its predecessor; the B200 lists Server Hopper as its predecessor and Server Rubin as its successor.

Head-to-Head Benchmarks

With no head-to-head benchmark entries and zero wins for either part, the database contains no measured performance comparisons. The analysis must rely on specification-derived arithmetic. The most direct comparison is FP32 throughput: the B200's 69.34 TFLOPS versus the MI350P's 36.04 TFLOPS. That is a 1.92x advantage for the B200, or roughly 92% higher. FP16 throughput mirrors this exactly, as both parts run 1:1 ratios, so the B200 again delivers 69.34 TFLOPS versus 36.04 TFLOPS.

Texture rate favors the MI350P slightly: 1,126.4 GTexel/s versus 1,083.4 GTexel/s, a 4% edge. This is curious given the B200's higher TMU count (592 vs 512); the MI350P's higher boost clock (2200 MHz vs 1830 MHz) likely compensates. Pixel rate heavily favors the B200: 43.92 GPixel/s versus 0 MPixel/s, though neither part has display outputs, so pixel rate has no practical impact on server workloads.

Memory bandwidth is identical at 8.19 TB/s, meaning neither part wins on raw memory throughput. Capacity favors the B200 by 36 GB (180 GB vs 144 GB). Shading units favor the B200 by 10,752 units (18,944 vs 8,192), a 2.31x difference. Tensor cores exist only on the B200 with 592 units; the MI350P lists none, so tensor-specific workloads have no competitor on the AMD side in this comparison. Transistor count favors the B200 by 135,000 million (208,000 vs 73,000), and density favors it by 66.5M per mm² (127.8 vs 61.3).

Clock speeds tell a mixed story. The MI350P has a higher boost clock (2200 MHz vs 1830 MHz) and a much higher base clock (1000 MHz vs 120 MHz). The B200's low base clock suggests it idles at minimal power and boosts only under load, whereas the MI350P maintains a higher idle floor. Power consumption favors the MI350P in absolute terms: 600 W TDP versus 1000 W TDP. The suggested PSU also favors AMD: 1000 W versus 1400 W.

The B200's launch MSRP is 34,999 USD (stated once here, as the database records it). The MI350P has no launch MSRP in the database, so no price comparison is possible.

The Verdict

The data indicates the NVIDIA B200 SXM6 is the stronger compute part in nearly every arithmetic category. Its FP32 and FP16 throughput are 1.92x higher. Its shading unit count is 2.31x higher. Its memory capacity is 25% larger (180 GB vs 144 GB). Its transistor budget is 2.85x larger, and its density is 2.09x higher. Its tensor core count (592) has no counterpart on the MI350P. For any workload that is compute-bound, tensor-bound, or capacity-bound beyond 144 GB, the B200 SXM6 is the clear choice.

The AMD Instinct MI350P wins on a narrower set of metrics. It has a lower TDP (600 W vs 1000 W), a lower suggested PSU (1000 W vs 1400 W), a higher boost clock (2200 MHz vs 1830 MHz), a slightly higher texture rate (1,126.4 GTexel/s vs 1,083.4 GTexel/s), and a smaller die (1,190 mm² vs 1,628 mm²). For deployments where power draw is the binding constraint, or where the 144 GB memory capacity suffices and the workload is texture-rate-sensitive, the MI350P fits. Its newer process node (3 nm vs 5 nm) suggests better power efficiency per transistor, though the database does not provide measured efficiency figures.

The B200's 180 GB memory capacity is the decisive differentiator for large language models or training runs that exceed 144 GB. The MI350P's identical 8.19 TB/s bandwidth means memory-bound tasks do not suffer a throughput penalty, but capacity shortfalls force different partitioning strategies. The B200's 592 tensor cores give it a dedicated path for tensor operations that the MI350P lacks entirely. No benchmarks exist to confirm real-world deltas, but the specification sheet points to the B200 for peak throughput and the MI350P for power-constrained or lower-capacity deployments.

FAQ

Q: Which accelerator has higher FP32 throughput?

A: The NVIDIA B200 SXM6 delivers 69.34 TFLOPS FP32, while the AMD Instinct MI350P delivers 36.04 TFLOPS FP32. The B200 is 1.92x higher.

Q: Do the two parts share the same memory bandwidth?

A: Yes. Both use HBM3e with an 8,192-bit bus and 8.19 TB/s bandwidth. Memory clock is identical at 2000 MHz, 8 Gbps effective.

Q: Which one has more memory capacity?

A: The NVIDIA B200 SXM6 has 180 GB, while the AMD Instinct MI350P has 144 GB. The B200 offers 36 GB more.

Q: Does the AMD part have tensor cores?

A: No. The MI350P lists no tensor core count. The B200 lists 592 tensor cores.

Q: What are the power requirements for each?

A: The MI350P has a TDP of 600 W with a suggested PSU of 1000 W. The B200 has a TDP of 1000 W with a suggested PSU of 1400 W.

Q: Which uses a smaller manufacturing process?

A: The AMD Instinct MI350P uses a 3 nm process. The NVIDIA B200 SXM6 uses a 5 nm process. Both are fabricated by TSMC.

Specification Differences

The database records the following fields where the two accelerators differ:

• Process Node: AMD Instinct MI350P: 3 nm. NVIDIA B200 SXM6: 5 nm.
• Transistors: AMD: 73,000 million. NVIDIA: 208,000 million.
• Die Size: AMD: 1190 mm². NVIDIA: 1628 mm².
• Transistor Density: AMD: 61.3M / mm². NVIDIA: 127.8M / mm².
• Base Clock: AMD: 1000 MHz. NVIDIA: 120 MHz.
• Boost Clock: AMD: 2200 MHz. NVIDIA: 1830 MHz.
• Memory Size: AMD: 144 GB. NVIDIA: 180 GB.
• Shading Units: AMD: 8192. NVIDIA: 18944.
• TMUs: AMD: 512. NVIDIA: 592.
• ROPs: AMD: 0. NVIDIA: 24.
• Tensor Cores: AMD: not listed. NVIDIA: 592.
• Pixel Rate: AMD: 0 MPixel/s. NVIDIA: 43.92 GPixel/s.
• Texture Rate: AMD: 1,126.4 GTexel/s. NVIDIA: 1,083.4 GTexel/s.
• FP32: AMD: 36.04 TFLOPS. NVIDIA: 69.34 TFLOPS.
• FP16: AMD: 36.04 TFLOPS (1:1). NVIDIA: 69.34 TFLOPS (1:1).
• TDP: AMD: 600 W. NVIDIA: 1000 W.
• Slot Width: AMD: Dual-slot. NVIDIA: SXM Module.
• Power Connectors: AMD: 1x 16-pin. NVIDIA: not listed.
• Suggested PSU: AMD: 1000 W. NVIDIA: 1400 W.
• Bus Interface: AMD: PCIe 5.0 x16. NVIDIA: PCIe 6.0 x16.
• Dimensions: AMD: 267 mm length, 111 mm height, 40 mm width. NVIDIA: not listed.
• Production Status: AMD: not listed. NVIDIA: Active.
• Release Date: AMD: 2026-05-06. NVIDIA: 2024-10-31.
• Predecessor: AMD: Radeon Instinct. NVIDIA: Server Hopper.
• Successor: AMD: not listed. NVIDIA: Server Rubin.
• Launch MSRP: AMD: not listed. NVIDIA: 34,999 USD.