#itad — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #itad, aggregated by home.social.
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NVIDIA sold the RTX 5060 Ti with 8GB or 16GB. Same chip. Launch price difference: $50.
Today the market difference is $191.
The 4060 Ti ran the same experiment two years earlier and landed within 50 cents per gigabyte.https://www.buysellram.com/blog/nvidia-consumer-gpu-price-report-august-2026/
#NVIDIA #GPUPrices #RTX50 #RTX5090 #VRAM #GDDR7 #DRAM #GPU #PCHardware #ITAD #ITAssetDisposition #DataCenter #ResaleValue #technology
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NVIDIA sold the RTX 5060 Ti with 8GB or 16GB. Same chip. Launch price difference: $50.
Today the market difference is $191.
The 4060 Ti ran the same experiment two years earlier and landed within 50 cents per gigabyte.https://www.buysellram.com/blog/nvidia-consumer-gpu-price-report-august-2026/
#NVIDIA #GPUPrices #RTX50 #RTX5090 #VRAM #GDDR7 #DRAM #GPU #PCHardware #ITAD #ITAssetDisposition #DataCenter #ResaleValue #tech
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"A buildout this size, weighted this heavily toward servers, does not stay in service indefinitely. The scale of Alphabet’s spending this quarter is a reasonable basis for expecting that when this hardware starts cycling out, the volume will be substantial."
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SK hynix's parent group says it may offer "Memory as a Service" — RAM capacity sold like a cloud subscription rather than a chip in a box. The idea is early, but the hardware underneath it is not.
This explainer walks through the full stack: why memory gets stranded inside servers, how CXL adds the cache coherency that PCIe never had, what memory appliances and CXL 3.0 switches actually do, and why tiering keeps local DRAM first. It also draws a line many articles blur — memory expansion (which Meta already runs across millions of servers, reusing retired DDR4) versus rack-level pooling, which is only now reaching real silicon.
The business angle matters too: subscriptions would smooth the boom-and-bust cycle memory makers have never escaped. And for everyone else, the takeaway is simpler — memory is becoming an asset with value independent of the server it shipped in.
https://www.buysellram.com/blog/memory-as-a-service-cxl/
#MemoryAsAService #CXL #DRAM #DataCenter #AIInfrastructure #SKhynix #MemoryPooling #DDR4 #ServerHardware #Semiconductors #AIHardware #ITAD #technology -
I Token AI Sono Appena Diventati Ancora Più Economici. Risolveranno la Carenza di Chip per l'AI… o la Alimenteranno?
I token dell'AI diventano sempre più economici, ma la memoria diventa sempre più costosa. I costi dell'inferenza sono diminuiti di 280 volte in soli due anni; nonostante ciò, la spesa delle imprese per l'AI è triplicata e i prezzi contrattuali della DRAM hanno appena registrato un aumento record del 90-95% in un solo trimestre. William Stanley Jevons aveva già osservato questo fenomeno nel 1865 con il carbone. Uno sguardo a ciò che riequilibrerà davvero il mercato dei chip e al motivo per cui la risposta sono le nuove fabbriche di semiconduttori previste per la fine del 2027, non modelli più intelligenti o ASIC.
buysellram.com/blog/cheaper-to…
#AI #Semiconduttori #DRAM #CarenzaDiMemoria #DataCenter #HBM #GPU #SSD #ITAD #BuySellRam #ParadossoDiJevons #Hardware #Tecnologia
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The cheaper AI tokens get, the more expensive memory becomes. Inference costs fell 280-fold in two years; enterprise AI spending tripled anyway, and DRAM contract prices just posted a record 90-95% quarterly jump. Jevons saw this pattern in 1865 with coal. A look at what actually rebalances the chip market...
https://www.buysellram.com/blog/cheaper-tokens-ai-chip-shortage/
#AI #Semiconductors #DRAM #MemoryShortage #DataCenters #HBM #GPU #SSD #ITAD #BuySellRam #JevonsParadox #TechHardware -
The cheaper AI tokens get, the more expensive memory becomes. Inference costs fell 280-fold in two years; enterprise AI spending tripled anyway, and DRAM contract prices just posted a record 90-95% quarterly jump. Jevons saw this pattern in 1865 with coal. A look at what actually rebalances the chip market...
https://www.buysellram.com/blog/cheaper-tokens-ai-chip-shortage/
#AI #Semiconductors #DRAM #MemoryShortage #DataCenters #HBM #GPU #SSD #ITAD #BuySellRam #JevonsParadox #TechHardware -
Claude Sonnet 5 launched at less than half the flagship's price with ninety percent of its benchmark performance. The natural conclusion: AI is getting cheaper, so chip demand should ease. Every data point says otherwise.
Inference costs fell 280-fold between 2022 and 2024 (Stanford AI Index). Enterprise AI spending tripled to $37B in 2025 anyway. DRAM contracts rose a record 90-95% in Q1 2026, NAND is projected up 70-75% in Q2, and SK Hynix has sold out its entire 2026 output. William Stanley Jevons described the mechanism in 1865: make a resource cheaper to use, and total consumption rises.
The article walks through what this means chip by chip — DRAM, NAND, GPUs, and why CPUs are the calm exception — plus the strongest counterarguments (ASICs, MoE, small models) and why they fall short. One practical takeaway: retired server memory is appreciating for the first time in years.
#AI #Semiconductors #DRAM #MemoryShortage #DataCenters #HBM #GPU #SSD #ITAD #ITAssetManagement #JevonsParadox #TechHardware #technology
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The cheaper AI tokens get, the more expensive memory becomes. Inference costs fell 280-fold in two years; enterprise AI spending tripled anyway, and DRAM contract prices just posted a record 90-95% quarterly jump. Jevons saw this pattern in 1865 with coal. A look at what actually rebalances the chip market...
https://www.buysellram.com/blog/cheaper-tokens-ai-chip-shortage/
#AI #Semiconductors #DRAM #MemoryShortage #DataCenters #HBM #GPU #SSD #ITAD #ITAssetManagement #JevonsParadox #TechHardware -
Dentro la gerarchia della memoria delle GPU: come i server AI spostano i dati dagli SSD alla HBM
Ti sei mai chiesto come i modelli di intelligenza artificiale trasferiscono i dati alla GPU? Questo articolo spiega in modo semplice i diversi livelli di memoria all'interno di un server AI, perché la memoria della GPU è diventata un collo di bottiglia e quali nuove tecnologie potrebbero migliorare le prestazioni dell'intelligenza artificiale.
buysellram.com/blog/inside-the…
#HBM #HBM4 #GPUMemory #AIInfrastructure #DataCenter #CXL #HighBandwidthFlash #AIHardware #MemoryHierarchy #AIInference #NVMe #ITAD
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Why can't a GPU just carry more HBM? Interposers max out in size, stacking 12 to 16 DRAM dies compounds yield losses, and every stack sits beside a kilowatt-class package that hates sharing heat. So capacity climbs in careful steps — 80 GB on the H100, 141 on the H200, 192 on the B200, 288 on Blackwell Ultra — while KV caches for long-context inference balloon past 40 GB per request.
That gap between what models demand and what packaging permits is reshaping server design. NVIDIA's Rubin platform treats CPU memory and HBM as one coherent pool. SanDisk and SK hynix are standardizing High Bandwidth Flash as a capacity tier under HBM, with first samples due this half. CXL 4.0 pooling hardware is landing in racks now.
This article walks the whole memory hierarchy, from on-chip SRAM to NVMe, and explains what each emerging technology actually solves — and what it doesn't.
#HBM #HBM4 #GPUMemory #AIInfrastructure #DataCenter #CXL #HighBandwidthFlash #AIHardware #MemoryHierarchy #AIInference #NVMe #ITAD #technology
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Samsung and SK Hynix just pledged $550 billion for new memory fabs. Most industry forecasts still don't expect real DRAM/NAND relief before late 2027 — some analysts warn of a glut right after. The actual math behind the timeline, broken down.
https://www.buysellram.com/blog/will-samsung-and-sk-hynixs-550-billion-in-new-fabs-ease-the-memory-shortage/#DRAM #Semiconductors #MemoryShortage #SKHynix #Samsung #Micron #HBM #SupplyChain #DataCenter #ITAD #CXMT #AIInfrastructure #technology
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Micron just turned in a record fiscal quarter, but the number that matters for anyone who runs servers wasn't the revenue.
DRAM average selling prices jumped into the low-60% range from the prior quarter while bit shipments barely moved. Price is doing the work because there aren't enough bits to ship. Micron says it can fill only about half to two-thirds of customer demand, with tight conditions past calendar 2027.
So why can't the makers just build their way out? Three supply-side forces:
HBM eats the wafers. It needs roughly 3x the silicon per bit of DDR5 (4x for HBM4), so as its share climbs, total bit output sags. 2026 DRAM bit growth is only about 16%.
New fabs are years away. Micron's Idaho plant won't ship until late 2027; its New York fabs land around 2029 to 2030.
What's made is pre-sold. Multi-year deals (Micron–Anthropic, plus Samsung and SK Hynix) lock volume off the open market.For IT teams retiring hardware, the DDR4 and DDR5 in decommissioned servers doesn't wait for a 2027 fab or sit behind a contract. It's available now, and one of the few sources of conventional DRAM many buyers can get.
https://www.buysellram.com/blog/micron-q3-dram-shortage-sell-server-memory/
#DRAM #ServerMemory #ITAD #DataCenter #MemoryShortage #DDR5 #HBM #Micron #SKHynix #ITAssetDisposition #EnterpriseIT #SemiconductorIndustry #technology -
Micron posted a record quarter, but the real signal for IT teams isn't revenue. It can fill only about half to two-thirds of demand, with tight conditions past 2027. Three supply-side forces keep DRAM short: HBM consumes far more silicon per bit, new fabs are years out, and much of what's made is pre-sold to hyperscalers. The memory in retired servers is now real, available supply.
https://www.buysellram.com/blog/micron-q3-dram-shortage-sell-server-memory/
#DRAM #ServerMemory #ITAD #DataCenter #MemoryShortage #DDR5 #HBM #Micron #SKHynix #tech -
My first experience in #ITAD was before I worked in the industry - I just helped my employer at the time clear out a large closet full of decommissioned PCs and other hardware as we prepared for a move. Wiped drives, found buyers, etc., years before seeing how this is done in massive quantities.
Does your business have a closet like that? Do you need to responsibly dispose of your outdated IT assets? Feel free to contact me for help!
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AMD bought MEXT, a startup whose software makes cheap NAND flash act like DRAM, so a server runs on far less of the expensive stuff. With DRAM contract prices up ~90%+ this year, the logic isn't subtle. How predictive memory tiering actually works? Read more.
https://www.buysellram.com/blog/amd-mext-flash-as-dram/
#AMD #MEXT #DRAM #NANDFlash #MemoryTiering #AIInfrastructure #DataCenter #ServerHardware #SSD #ITAD #Semiconductors #HBM #technology -
Apparently answered already, but in this subject, the site IsThereAnyDeal tracks only legitimate sources and their prices:
Also a store not being tracked is not necessarily an indication of not being legitimate. The team behind #ITAD is small and each platform tracked increases maintenance/upkeep a lot.
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At Computex 2026, NVIDIA's RTX Spark put a 20-core Arm Grace CPU and a Blackwell GPU inside mainstream Windows laptops from Dell, HP, Lenovo, Asus, MSI and Microsoft. The same week, Arm's first-ever data-center processor — the AGI CPU, with 136 Neoverse cores — headed into mass production, with Meta, OpenAI and Oracle Cloud already on board.
But here's the part most coverage skips: Arm vs. x86 isn't a "who's better" contest. Architecture doesn't decide performance — the software ecosystem and the workload do. x86 isn't going anywhere soon; it still anchors the enterprise.
What is changing is the mix. As hyperscalers shift new AI capacity to Arm, recent-generation x86 servers get parted out — flooding the secondary market with enterprise RAM, SSDs, CPUs and GPUs.https://www.buysellram.com/blog/from-rtx-spark-to-agi-cpu-arms-two-front-challenge-to-x86/
#Arm #x86 #DataCenter #RTXSpark #NVIDIA #CPU #ITAD #ServerHardware #AGICPU #WindowsOnArm #AIInfrastructure #ITAssetDisposition #technology
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At Computex 2026, NVIDIA's RTX Spark put a 20-core Arm Grace CPU and a Blackwell GPU inside mainstream Windows laptops from Dell, HP, Lenovo, Asus, MSI and Microsoft. The same week, Arm's first-ever data-center processor — the AGI CPU, with 136 Neoverse cores — headed into mass production, with Meta, OpenAI and Oracle Cloud already on board.
But here's the part most coverage skips: Arm vs. x86 isn't a "who's better" contest. Architecture doesn't decide performance — the software ecosystem and the workload do. x86 isn't going anywhere soon; it still anchors the enterprise.
What is changing is the mix. As hyperscalers shift new AI capacity to Arm, recent-generation x86 servers get parted out — flooding the secondary market with enterprise RAM, SSDs, CPUs and GPUs.https://www.buysellram.com/blog/from-rtx-spark-to-agi-cpu-arms-two-front-challenge-to-x86/
#Arm #x86 #DataCenter #RTXSpark #NVIDIA #CPU #ITAD #ServerHardware #AGICPU #WindowsOnArm #AIInfrastructure #ITAssetDisposition #technology
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Arm challenged it on two fronts at once. At Computex 2026, NVIDIA's RTX Spark put a 20-core Arm CPU + Blackwell GPU inside mainstream Windows laptops, while Arm's first data-center chip — the AGI CPU — hit mass production with Meta, OpenAI and Oracle aboard. So what happens to x86 servers and parts out there now?
https://www.buysellram.com/blog/from-rtx-spark-to-agi-cpu-arms-two-front-challenge-to-x86/
#Arm #x86 #DataCenter #RTXSpark #NVIDIA #CPU #ITAD #ServerHardware #AGICPU #WindowsOnArm #AIInfrastructure #tech
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OWC acquires PowerON as AI fuels a growing mountain of discarded tech
https://fed.brid.gy/r/https://nerds.xyz/2026/06/owc-poweron-ai-tech-waste/
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DDR4 was supposed to depreciate. Instead it rallied — chip spot prices climbed ~158% Sept–Nov 2025, DDR5 surged 307%, and by year-end DDR4 was selling above DDR5 per gigabyte in several SKUs. Six months on, prices stabilized at elevated levels rather than reversed. The seven factors that actually drive server memory resale value...
https://www.buysellram.com/blog/ddr4-vs-ddr5-resale-value-server-memory-2026/
#DDR4 #DDR5 #ServerMemory #DRAM #ITAD #DataCenter #HBM #MemoryMarket #AIInfrastructure #ITAssetDisposition #RAMprices #technology -
Dell just reported $16.1B in AI server revenue up 757% year-over-year — with $24.4B in new orders and a $60B full-year forecast. The bigger story: enterprise AI has crossed from pilot projects into production infrastructure. The new constraints aren't models or software. They're power, cooling, memory, and rack density.
https://jefftech.substack.com/p/dells-ai-server-revenue-surged-757what
#ArtificialIntelligence #EnterpriseAI #DataCenter #AIInfrastructure #ServerHardware #ITAD #CloudComputing #LiquidCooling #GPUComputing #AIBusiness #tech -
Dell just had its biggest single-day stock gain ever — up ~32% — after AI server revenue grew 757% to $16.1B. But "Dell AI server" is really one product: the PowerEdge XE9712 (NVIDIA GB200/GB300 NVL72). And the main buyers aren't AWS or Google — they're neoclouds like CoreWeave and Nscale.
https://www.buysellram.com/blog/dell-ai-server-757-percent-powerede-lineup/
#DellTechnologies #DellAI #PowerEdge #NVIDIA #AIServers #AIInfrastructure #DataCenter #EnterpriseIT #ITAD #CoreWeave #Blackwell #GB200 #tech
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NVIDIA's next-generation Vera Rubin NVL72 rack is projected to hit an estimated $7.8 million, driven by an unprecedented 435% cost explosion within the memory subsystem. As HBM4 and LPDDR5X consume up to 30% of total system hardware bills, enterprise operators must re-evaluate legacy asset recovery to offset spiraling infrastructure CapEx.
https://www.buysellram.com/blog/why-nvidias-vera-rubin-racks-cost-double-and-memory-is-the-surprise/
#DataCenter #AIInfrastructure #NVIDIA #VeraRubin #Semiconductors #HardwareEconomics #ITAD #TechProcurement #ServerRAM #technology
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Nvidia implemented a $300 wholesale price hike on the RTX 5090 effective May 13 — passed directly to board partners like ASUS, MSI, and Gigabyte. The official MSRP stays at $1,999, but that card is effectively impossible to buy at that price. Most configurations are now trading above $4,000.
The root cause isn't arbitrary. GDDR7 memory — which the RTX 5090 uses 32GB of — now makes up over 80% of the card's total bill of materials. AI data centers are consuming foundry wafer capacity at scale, pushing memory costs up across the board. Nvidia has also cut RTX 50 series production by up to 40% and canceled the RTX 50 Super entirely, pushing the RTX 60 generation to 2028.
For enterprise teams weighing hardware investments: local GPU acquisition still beats cloud compute on TCO for sustained workloads — but the math is changing fast. And legacy GPU inventory is worth more right now than it's been in years.
Full breakdown linked below.#Nvidia #RTX5090 #GPU #GDDR7 #ITAssetManagement #ITAD #HardwarePricing #TechInfrastructure #AIInfrastructure #DataCenter #PCHardware #EnterpriseIT #BuySellRam #technology
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For two decades, buying a server meant buying Intel. That era is ending.
AMD just hit a record 46.2% of server CPU revenue in Q1 2026. ARM-based chips — built by AWS, Google, and Microsoft on ARM's licensed architecture — now account for 17–21% of shipments.
#AMD #EPYC #Intel #ARM #CloudInfrastructure #ITAD #EnterpriseIT #TechNews #Semiconductor #Xeon #Hyperscaler #technology
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Intel controlled over 99% of the server CPU market for most of the 2000s and 2010s. It was less a competition than a default — Xeon was simply what servers ran on.
That era formally ended in Q1 2026.
AMD's EPYC processors now hold a record 46.2% of server CPU revenue, driven by a core count and price-performance advantage Intel hasn't been able to match. Meanwhile, ARM-based chips — custom silicon built by AWS, Google, and Microsoft using ARM's licensed architecture — account for 17–21% of global server shipments, a figure that barely existed five years ago.
#AMD #EPYC #Intel #ARM #CloudInfrastructure #ITAD #EnterpriseIT #TechNews #Semiconductor #Xeon #Hyperscaler #tech
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For two decades, buying a server meant buying Intel. That era is ending.
AMD just hit a record 46.2% of server CPU revenue in Q1 2026. ARM-based chips — built by AWS, Google, and Microsoft on ARM's licensed architecture — now account for 17–21% of shipments.
#AMD #EPYC #Intel #ARM #CloudInfrastructure #ITAD #EnterpriseIT #TechNews #Semiconductor #Xeon #Hyperscaler