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New tech promises to add terabytes of memory (or SSD storage) to any GPU — but there is a colossal get

Panmnesia CXL controller



(Image credit: Panmnesia)

KAIST startup Panmnesia (the title methodology “the vitality to be wide awake completely the total lot one thinks, feels, encounters, and experiences”) claims to maintain developed a brand novel approach to boosting GPU memory.

The firm’s step forward enables for the addition of terabyte-scale memory the usage of tag-effective storage media akin to NAND-based completely completely SSDs whereas inserting forward cheap efficiency ranges.

Nonetheless, there is a get: the skills depends on the rather novel Compute Speak Link (CXL) similar old, which stays unproven in normal applications and requires for sure expert hardware integration.

Technical challenges remain

CXL is an originate similar old interconnect designed to effectively connect CPUs, GPUs, memory, and other accelerators. It enables these substances to fragment memory coherently, meaning they’ll get accurate of entry to shared memory with out requiring files to be copied or moved, reducing latency and rising efficiency. 

Because CXL is no longer a synchronous protocol relish JEDEC’s DDR similar old, it could actually accommodate assorted storage media kinds with out requiring true timing or latency synchronization. Panmnesia says initial tests maintain confirmed that its CXL-GPU solution can outperform passe GPU memory expansion strategies by higher than 3 times.

For its prototype, Panmnesia linked the CXL Endpoint (which contains terabytes of memory) to its CXL-GPU by two MCIO (Multi-Channel I/O) cables. These high-jog cables strengthen PCIe and CXL standards, using ambiance pleasant conversation between GPU and memory.

Adoption, on the opposite hand, could no longer be easy. The GPU cards could want extra PCIe/CXL-neatly matched slots, and predominant technical challenges remain, notably with the combination of CXL logic fabric and subsystems in present GPUs. Integrating novel standards relish CXL into existing hardware involves making sure compatibility with present architectures and organising novel hardware substances, akin to CXL-neatly matched slots and controllers, that will seemingly be complex and resource-intensive.

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While Panmnesia’s novel CXL-GPU prototype doubtlessly promises unparalleled memory expansion for GPUs, its reliance on the rising CXL similar old and the need for for sure expert hardware could moreover manufacture limitations for quick normal adoption. Regardless of those hurdles, the advantages are obvious, especially for abundant-scale deep studying models which most often exceed the memory ability of present GPUs.

Panmnesia CXL-GPU prototype

(Image credit: Panmnesia)

More from TechRadar Pro

Wayne Williams is a freelancer writing news for TechRadar Pro. He has been writing about computer systems, skills, and the fetch for 30 years. In that time he wrote for most of the UK’s PC magazines, and launched, edited and printed a quantity of them too.

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