AMD announces MI350P PCIe AI accelerator card with 144GB of HBM3E — roughly 40% faster in FP16 and FP8 theoretical compute compared to Nvidia's H200 NVL competitor
AMD now has the fastest AI accelerator card on the market that fits in a traditional PCIe slot.
AMD has launched a new member of the MI350-series that comes in a PCIe form factor. The new Instinct MI350P comes with 128 CUs and 144GB of HBM3E memory and is designed to be a drop-in upgrade solution for existing air-cooled servers.
The MI350P comes in a 10.5" dual-slot card with a fanless cooling solution designed around a 600W power envelope (the card is designed to be cooled by chassis fans in a rack-mounted server). However, the card can be configured to run at a lower 450W power target to maintain compatibility with more thermally or power-constrained chassis.
Specifications (PEAK THEORETICAL) | AMD Instinct MI350P GPU | AMD Instinct MI325X GPU | AMD INSTINCT MI350X GPU | AMD INSTINCT MI350X PLATFORM | AMD INSTINCT MI355X GPU | AMD INSTINCT MI355X PLATFORM |
|---|---|---|---|---|---|---|
GPUs | Instinct MI350P PCIe | Instinct MI325X OAM | Instinct MI350X OAM | 8 x Instinct MI350X OAM | Instinct MI355X OAM | 8 x Instinct MI355X OAM |
GPU Architecture | CDNA 4 | CDNA 3 | CDNA 4 | CDNA 4 | CDNA 4 | CDNA 4 |
Dedicated Memory Size | 144 GB HBM3E | 256 GB HBM3E | 288 GB HBM3E | 2.3 TB HBM3E | 288 GB HBM3E | 2.3 TB HBM3E |
Memory Bandwidth | 4 TB/s | 6 TB/s | 8 TB/s | 8 TB/s per OAM | 8 TB/s | 8 TB/s per OAM |
FP64 Performance | 36 TFLOPs | Row 4 - Cell 2 | 72 TFLOPs | 577 TFLOPs | 78.6 TFLOPS | 628.8 TFLOPs |
FP16 Performance | 2.3 PFLOPS | 2.61 PFLOPS | 4.6 PFLOPS | 36.8 PFLOPS | 5 PFLOPS | 40.2 PFLOPS |
FP8 Performance | 4.6 PFLOPS | 5.22 PFLOPS | 9.2 PFLOPs | 73.82 PFLOPs | 10.1 PFLOPs | 80.5 PFLOPs |
FP6 Performance | Row 7 - Cell 1 | Row 7 - Cell 2 | 18.45 PFLOPS | 147.6 PFLOPS | 20.1 PFLOPS | 161 PFLOPS |
FP4 Performance* | Row 8 - Cell 1 | Row 8 - Cell 2 | 18.45 PFLOPS | 147.6 PFLOPS | 20.1 PFLOPS | 161 PFLOPS |
The card's specs are exactly half of what AMD's high-end MI350X and MI355X AI GPUs offer. The MI350P runs off of AMD's CDNA4 architecture and is built on TSMC's 3nm and 6nm FinFET process. The GPU comes with 8,192 cores, 128 CUs, 512 Matrix Cores, and has a 2.2GHz max clock speed. The GPU is paired to 144GB of HBM3E memory with 4TB/s of bandwidth, and a 128MB last-level cache.
Just like the MI350X and MI355X, the MI350P offers native support for lower-precision MXFP6 and MXFP4 to accelerate LLMs. Up to eight MI350P cards can be paired together in a single system, allowing data centers to scale performance based on how many cards are used. The MI350P is geared towards small, medium, and large AI workloads surrounding inference and RAG pipelines. AMD claims the GPU is the fastest enterprise PCIe card with an estimated 2,299 TFLOPs and 4,600 peak TFLOPs of performance using MXFP4.
The introduction of the MI350P finally gives AMD a proper competitor to Nvidia's fastest PCIe AI accelerator, currently the H200 NVL. The MI350P is based on a newer architecture and edges out the H200 NVL in performance, featuring 20% better FP64, 43% better FP16, and 39% better FP8 theoretical compute performance.

















Nvidia has not announced a PCIe version of its latest B200 Blackwell GPUs running HBM memory, so for now, AMD will have the most bleeding-edge AI accelerator that fits in a PCIe form factor. It remains to be seen how widely adopted AMD's new card will be, given Nvidia's hold on the market with CUDA. But AMD is working to improve its competing ROCm software stack, as the GPU maker explained to us at CES 2026.
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Aaron Klotz is a contributing writer for Tom’s Hardware, covering news related to computer hardware such as CPUs, and graphics cards.
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Kindaian Can I have one of this with "slow" memory and a cheap price point? I'm asking as an hobbyist that would like to be able to run high memory LLM models locally on the cheap. Asking 20k (imaginary number but probably not far from reality) for one card like this is way too expensive for an hobby consumer AI computer.Reply -
User of Computers Reply
AMD: No. you're too poor.Kindaian said:Can I have one of this with "slow" memory and a cheap price point? I'm asking as an hobbyist... -
Kindaian Me: As an hobbyist, I just don't throw silly money on my project. If you (AMD) don't do it, someone else will, if not, as an hobbyist, I can afford to work around the lack of offer at a reasonable price point.Reply -
GenericUser2001 Reply
Maybe look at some of the Ryzen Ai Max machines? If you look around you can find those with 128 GB of RAM for under $3k. I think that is what AMD intends to be the hobbyist local AI option.Kindaian said:Can I have one of this with "slow" memory and a cheap price point? I'm asking as an hobbyist that would like to be able to run high memory LLM models locally on the cheap. Asking 20k (imaginary number but probably not far from reality) for one card like this is way too expensive for an hobby consumer AI computer. -
User of Computers Reply
AMD: so buy the MI350P.Kindaian said:Me: As an hobbyist, I just don't throw silly money on my project. If you (AMD) don't do it, someone else will, if not, as an hobbyist, I can afford to work around the lack of offer at a reasonable price point. -
bit_user Reply
Sad to say (at least, for me it is, since I'm not a Mac-head), the I think best thing for this was the high-memory Mac Studio machines with M3 Ultra and 512 GB of RAM (although 256 GB is now the only one you can buy). They can do 819 GB/s of memory bandwidth. Their NPU is only capable of 36 TOPS, but I'm not sure how much you could get out of them by also harnessing the GPU and CPU cores (which have matrix cores).Kindaian said:Can I have one of this with "slow" memory and a cheap price point? I'm asking as an hobbyist that would like to be able to run high memory LLM models locally on the cheap. Asking 20k (imaginary number but probably not far from reality) for one card like this is way too expensive for an hobby consumer AI computer. -
bit_user Reply
Eh, if you look at the actual silicon inside these cards, the price isn't as unreasonable as some cards out there. For instance, cards like the RTX Pro 6000 Blackwell, that are basically just gaming GPUs with more memory and slightly lower clockspeeds. This MI350P has 2.23x the bandwidth of even that card, as well as 50% more memory and 14.1% more TOPS.User of Computers said:AMD: No. you're too poor.
There's always a nonlinear relationship between cost and time. If you want faster hardware, you either pay an exorbitant price for it now, or you just wait a few years.Kindaian said:Me: As an hobbyist, I just don't throw silly money on my project. If you (AMD) don't do it, someone else will, if not, as an hobbyist, I can afford to work around the lack of offer at a reasonable price point.
They sort of backed into this one, almost by accident. Their original goal was just to build a Mac Pro competitor. They didn't initially set out to make it into an edge AI machine that could go toe-to-toe with competitors like Nvidia's GB10.GenericUser2001 said:Maybe look at some of the Ryzen Ai Max machines? If you look around you can find those with 128 GB of RAM for under $3k. I think that is what AMD intends to be the hobbyist local AI option.
Lead times on CPUs are like 3-4 years. So, we'll have to see what they bring to market in 2027 or 2028, in order to see what their most competitive edge AI offering looks like.