#ai-infrastructure — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #ai-infrastructure, aggregated by home.social.
-
A fast GPU doesn't mean a fast pipeline. If storage can't deliver data quickly enough, your GPU ends up waiting no matter how powerful it is.
Our latest guide covers PCIe Gen5 NVMe throughput vs. Gen3/Gen4, how GPUDirect Storage bypasses the CPU to feed GPU VRAM directly, PCIe lane planning for multi-GPU servers, and how to check whether storage is actually your bottleneck before upgrading.
📖 Read it here: https://www.fitservers.com/blogs/pcie-gen5-nvme-gpu-servers-storage-bottleneck/
#PCIeGen5 #NVMe #AIInfrastructure #ServerHardware #DataCenter
-
Pasqal and LG CNS partner to power Next-generation AI Data centers with quantum computing
On the sidelines of the France-Korea State Visit, Pasqal strengthens its long-term presence in South Korea by signing…
#EuropeSays #Korea #KR #LG #AIdatacenter #AIinfrastructure #CEO #LGCNS #LGGroup #Pasqal #QuantumComputing #WasiqBokhari
https://www.europesays.com/korea/150309/ -
https://www.europesays.com/people/221945/ Nvidia is buying Hugging Face for $13 billion, Jensen Huang says it will remain open AI platform #ACQUISITION #AIInfrastructure #AIModels #ClemDelangue #HuggingFace #JensenHuang #Nvidia #OpenSourceAI #RegulatoryApproval
-
OpenAI and Samsung Deepen Chip and Enterprise AI Partnership
ChatGPT is expensive, not the chatbot running the artificial intelligence computing and infrastructure. It uses a lot of…
#EuropeSays #Korea #KR #SamsungElectronics #AIchips #AIinfrastructure #artificialintelligence #CustomAIChip #OpenAI #Samsung #Stargate
https://www.europesays.com/korea/148961/ -
Qualcomm Rides Amazon Deal Toward Data-Center Goal
Qualcomm shares rose 3.2% after its CFO called the Amazon custom-chip partnership central to a $15 billion data-center revenue target for fiscal 2029.
https://pulseofnations.lol/qualcomm-rides-amazon/
#AIInfrastructure #Amazon #CustomChips #DataCenters #Qualcomm
-
Qualcomm Announces Multi-Generational Product Collaboration with Amazon to Build Next-Generation AI Data Center Infrastructure
Qualcomm Announces Multi-Generational Product Collaboration with Amazon to Build Next-Generation AI Data Center Infrastructure | Qualcomm
#NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Artificialintelligence #AI #AIInfrastructure #ArtificialIntelligence #company #datacenter #Technology
https://www.newsbeep.com/us/840715/ -
Qualcomm Announces Multi-Generational Product Collaboration with Amazon to Build Next-Generation AI Data Center Infrastructure
Qualcomm Announces Multi-Generational Product Collaboration with Amazon to Build Next-Generation AI Data Center Infrastructure | Qualcomm
#NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Artificialintelligence #AI #AIInfrastructure #ArtificialIntelligence #company #datacenter #Technology
https://www.newsbeep.com/us/840715/ -
https://www.europesays.com/ie/678656/ Qualcomm Announces Multi-Generational Product Collaboration with Amazon to Build Next-Generation AI Data Center Infrastructure #AI #AiInfrastructure #ArtificialIntelligence #ArtificialIntelligence #Company #DataCenter #Éire #IE #Ireland #Technology
-
Selling retired enterprise GPUs and AI accelerators is not just a matter of finding the highest quote.
For companies decommissioning H100s, A100s, H200s, MI300X systems, workstation GPUs, or other enterprise accelerators, the real value of a transaction depends on much more than the headline price.
Before requesting quotes, sellers should know exactly what is being retired: complete servers or individual components, exact model and part numbers, VRAM capacity, form factor, condition, and whether the hardware has been tested. PCIe cards and SXM modules should also be treated differently because compatibility and buyer demand are not the same.
If the systems are still running, GPU health data can also reduce uncertainty before shipment. ECC and row-remapping information can give buyers more evidence than simply describing hardware as “pulled working,” although telemetry still does not replace full functional or sustained-load testing.
For advanced AI accelerators, export controls may also need to be considered. The relevant questions can include the product classification, buyer, end use, and ultimate destination—not simply whether the immediate buyer is located in the United States.
The sales channel matters as well. ITAD providers, brokers, general marketplaces, and institutional GPU trading platforms operate differently. Some companies buy hardware directly. Others remarket it, broker a downstream transaction, or simply provide a marketplace where buyers and sellers meet.
Once offers arrive, the highest number still may not represent the best deal. Freight responsibility, insurance, inspection rights, repricing clauses, payment timing, and what happens to rejected units can materially change the economics and operational burden of the transaction.
The same applies after the deal is agreed. Serial-number records, proper ESD-safe packaging, shipment photographs, insurance, and clear inspection terms can prevent relatively small logistical problems from becoming expensive disputes.
Our latest guide looks at the full process of selling retired enterprise GPUs—from inventory preparation and buyer selection through inspection, shipping, and payment.
For organizations retiring larger GPU environments, the key question is not simply “Who offered the most?” It is whether the entire transaction still makes sense once price, risk, logistics, and staff time are considered.
https://www.buysellram.com/blog/selling-retired-enterprise-gpus-ai-accelerators/
#ITAD #EnterpriseGPU #AIInfrastructure #DataCenter #AssetDisposition #GPUs #AIAccelerators
-
Selling retired enterprise GPUs and AI accelerators is not just a matter of finding the highest quote.
For companies decommissioning H100s, A100s, H200s, MI300X systems, workstation GPUs, or other enterprise accelerators, the real value of a transaction depends on much more than the headline price.
Before requesting quotes, sellers should know exactly what is being retired: complete servers or individual components, exact model and part numbers, VRAM capacity, form factor, condition, and whether the hardware has been tested. PCIe cards and SXM modules should also be treated differently because compatibility and buyer demand are not the same.
If the systems are still running, GPU health data can also reduce uncertainty before shipment. ECC and row-remapping information can give buyers more evidence than simply describing hardware as “pulled working,” although telemetry still does not replace full functional or sustained-load testing.
For advanced AI accelerators, export controls may also need to be considered. The relevant questions can include the product classification, buyer, end use, and ultimate destination—not simply whether the immediate buyer is located in the United States.
The sales channel matters as well. ITAD providers, brokers, general marketplaces, and institutional GPU trading platforms operate differently. Some companies buy hardware directly. Others remarket it, broker a downstream transaction, or simply provide a marketplace where buyers and sellers meet.
Once offers arrive, the highest number still may not represent the best deal. Freight responsibility, insurance, inspection rights, repricing clauses, payment timing, and what happens to rejected units can materially change the economics and operational burden of the transaction.
The same applies after the deal is agreed. Serial-number records, proper ESD-safe packaging, shipment photographs, insurance, and clear inspection terms can prevent relatively small logistical problems from becoming expensive disputes.
Our latest guide looks at the full process of selling retired enterprise GPUs—from inventory preparation and buyer selection through inspection, shipping, and payment.
For organizations retiring larger GPU environments, the key question is not simply “Who offered the most?” It is whether the entire transaction still makes sense once price, risk, logistics, and staff time are considered.
https://www.buysellram.com/blog/selling-retired-enterprise-gpus-ai-accelerators/
#ITAD #EnterpriseGPU #AIInfrastructure #DataCenter #AssetDisposition #GPUs #AIAccelerators
-
Selling retired enterprise GPUs is not just a pricing exercise.
A strong quote can become less attractive once freight, inspection rights, repricing, payment timing, and internal staff time are included.
Our new guide looks at how to prepare GPU inventory, compare buyers, document health data, and manage the transaction before the hardware ships.
https://www.buysellram.com/blog/selling-retired-enterprise-gpus-ai-accelerators/
#ITAD #EnterpriseGPU #AIInfrastructure #DataCenter #AssetDisposition #BuySellRAM #Nvidia #AMD #A100 #H100 #H200
-
Selling retired enterprise GPUs is not just a pricing exercise.
A strong quote can become less attractive once freight, inspection rights, repricing, payment timing, and internal staff time are included.
Our new guide looks at how to prepare GPU inventory, compare buyers, document health data, and manage the transaction before the hardware ships.
https://www.buysellram.com/blog/selling-retired-enterprise-gpus-ai-accelerators/
#ITAD #EnterpriseGPU #AIInfrastructure #DataCenter #AssetDisposition #BuySellRAM #Nvidia #AMD #A100 #H100 #H200
-
Samsung & SK hynix Strengthen Global DRAM Market Grip Amid AI Boom
Samsung Electronics and SK hynix are strengthening their position in the global DRAM market as the artificial intelligence…
#EuropeSays #Korea #KR #SK #AIinfrastructure #AImemorydemand #DRAMmarket #globalDRAM #HBM4 #Memorychips #MicronTechnology #SamsungElectronics #semiconductorindustry #SKGroup #SKhynix
https://www.europesays.com/korea/145955/ -
https://www.europesays.com/people/218068/ Nvidia CEO Jensen Huang claims GPT-6 Astra is AGI #AGI #AIInfrastructure #FrontierAIModels #GaryMarcus #Gpt6Astra #GregBrockman #JensenHuang #NVIDIA'GPUs #OpenAI
-
Samsung, SK Hynix Memory Inventories Fall Below 10 Days — ‘Supply Exhaustion’ Warning for Next Year — BigGo Finance
Samsung Electronics (005930.KS) and SK Hynix (000660.KS) have seen their memory semiconductor inventories fall below 10 days, and…
#EuropeSays #Korea #KR #SKHynix #AIinfrastructure #DRAM #HBM4 #hyperscalers #KBSecurities #KimDong-won #NAND #SamsungElectronics #SK #SKhynix #TrendForce
https://www.europesays.com/korea/145219/ -
Anthropic Tied Up 14.8 GW of Compute for $517 Billion
The Information reports Anthropic lined up about $517 billion in compute commitments in 11 months, spanning AWS, Google, Fluidstack, Nscale, SpaceX and Lambda deals worth 14.8 gigawatts.
https://pulseofnations.lol/anthropic-tied-up-14-8-gw/
#AiInfrastructure #Anthropic #Aws #Compute #DataCenters #Tpu
-
https://www.europesays.com/ch/126336/ As data center costs escalate, Meta is using robots from Watney Robotics, Kinova and ABB to … #ABB #AIInfrastructure #Automation #DataCenters #Kinova #Meta #Robotics #WatneyRobotics
-
SK Group and NVIDIA plan AI infrastructure partnership
The agreement includes a 2-GW AI cloud in Korea using NVIDIA DSX, Vera Rubin computing and SK hynix…
#EuropeSays #Korea #KR #SK #AIinfrastructure #NVIDIA #SKGroup
https://www.europesays.com/korea/143985/ -
https://www.europesays.com/africa/411023/ Uganda targets $500bn through digitalisation #10XGrowth #AI #AIInfrastructure #ArtificialIntelligence #cybersecurity #DigitalEconomy #DigitalInfrastructure #DigitalSkills #DigitalTransformation #GovernmentDigitalInfrastructure #ICT #ICTNationalSummit #innovation #JustineKasuleLumumba #NationalICTInnovationHub #Uganda
-
Crusoe AI Raises $3B at $30B Valuation
Data center developer that powers Meta, Microsoft, and OpenAI triples valuation in 10 months as Jane Street signs $13B cloud deal.
-
Open should mean more than downloadable weights.
K2 Horizon releases six models—from 0.9B to 375B parameters—together with training code, data or recipes, checkpoints and evaluations.
This makes model development inspectable and reproducible: an important reference point for sovereign AI.
https://ifm.ai/k2/
#OpenSourceAI #SovereignAI #AIInfrastructure -
Open should mean more than downloadable weights.
K2 Horizon releases six models—from 0.9B to 375B parameters—together with training code, data or recipes, checkpoints and evaluations.
This makes model development inspectable and reproducible: an important reference point for sovereign AI.
https://ifm.ai/k2/
#OpenSourceAI #SovereignAI #AIInfrastructure -
Open should mean more than downloadable weights.
K2 Horizon releases six models—from 0.9B to 375B parameters—together with training code, data or recipes, checkpoints and evaluations.
This makes model development inspectable and reproducible: an important reference point for sovereign AI.
https://ifm.ai/k2/
#OpenSourceAI #SovereignAI #AIInfrastructure -
Open should mean more than downloadable weights.
K2 Horizon releases six models—from 0.9B to 375B parameters—together with training code, data or recipes, checkpoints and evaluations.
This makes model development inspectable and reproducible: an important reference point for sovereign AI.
https://ifm.ai/k2/
#OpenSourceAI #SovereignAI #AIInfrastructure -
Open should mean more than downloadable weights.
K2 Horizon releases six models—from 0.9B to 375B parameters—together with training code, data or recipes, checkpoints and evaluations.
This makes model development inspectable and reproducible: an important reference point for sovereign AI.
https://ifm.ai/k2/
#OpenSourceAI #SovereignAI #AIInfrastructure -
Spain’s iPronics raises €107.6 million with NVIDIA backing to scale optical networking for AI data centres
iPronics, a Valencia-based company specialising in silicon photonics-based optical cir…
#Spain #ES #Europe #Europa #EU #AIinfrastructure #AmadeusCapitalPartners #boschventures #ChristianDupont #CriteriaVentureTech #EuropeanInnovationCouncilFund #Ipronics #LightStreetCapital #MaverickSilicon #NVIDIA #siliconphotonics #TateFamilyTrust #TriatomicCapital
https://www.europesays.com/spain/80707/ -
Brookfield Chairman Visits NAVER to Discuss AI Factory Cooperation
40 days after announcing three-way cooperation with NAVER and NVIDIA $9 billion to be invested in building a…
#EuropeSays #Korea #KR #Naver #1-GW-class #AIinfrastructure #alternativeassets #assetmanagement #Brookfield #BrookfieldAssetManagement #fordiscussion #NVIDIA #Partnership
https://www.europesays.com/korea/143147/ -
Nvidia has agreed to buy Hugging Face, the popular platform for hosting millions of open AI models, for 13B USD. The chip giant says the acquisition will accelerate the spread of open-weight AI models. Hugging Face will remain open despite the takeover. https://arstechnica.com/ai/2026/09/nvidia-buys-hugging-face-the-github-of-ai-for-13-billion/ #AIagent #AI #GenAI #AIInfrastructure
-
Nvidia has agreed to buy Hugging Face, the popular platform for hosting millions of open AI models, for 13B USD. The chip giant says the acquisition will accelerate the spread of open-weight AI models. Hugging Face will remain open despite the takeover. https://arstechnica.com/ai/2026/09/nvidia-buys-hugging-face-the-github-of-ai-for-13-billion/ #AIagent #AI #GenAI #AIInfrastructure
-
Nvidia has agreed to buy Hugging Face, the popular platform for hosting millions of open AI models, for 13B USD. The chip giant says the acquisition will accelerate the spread of open-weight AI models. Hugging Face will remain open despite the takeover. https://arstechnica.com/ai/2026/09/nvidia-buys-hugging-face-the-github-of-ai-for-13-billion/ #AIagent #AI #GenAI #AIInfrastructure
-
Nvidia has agreed to buy Hugging Face, the popular platform for hosting millions of open AI models, for 13B USD. The chip giant says the acquisition will accelerate the spread of open-weight AI models. Hugging Face will remain open despite the takeover. https://arstechnica.com/ai/2026/09/nvidia-buys-hugging-face-the-github-of-ai-for-13-billion/ #AIagent #AI #GenAI #AIInfrastructure
-
Nvidia has agreed to buy Hugging Face, the popular platform for hosting millions of open AI models, for 13B USD. The chip giant says the acquisition will accelerate the spread of open-weight AI models. Hugging Face will remain open despite the takeover. https://arstechnica.com/ai/2026/09/nvidia-buys-hugging-face-the-github-of-ai-for-13-billion/ #AIagent #AI #GenAI #AIInfrastructure
-
AI infrastructure startup Crusoe has raised 3B USD at a 30B USD valuation, according to reports. The funding round came together after the data centre developer secured a 13B USD contract with Jane Street. The deal signals continued massive investment in AI computing infrastructure. https://techcrunch.com/2026/09/03/crusoe-reportedly-raises-3b-at-a-30b-valuation/ #AIagent #AI #GenAI #AIInfrastructure
-
AI infrastructure startup Crusoe has raised 3B USD at a 30B USD valuation, according to reports. The funding round came together after the data centre developer secured a 13B USD contract with Jane Street. The deal signals continued massive investment in AI computing infrastructure. https://techcrunch.com/2026/09/03/crusoe-reportedly-raises-3b-at-a-30b-valuation/ #AIagent #AI #GenAI #AIInfrastructure
-
AI infrastructure startup Crusoe has raised 3B USD at a 30B USD valuation, according to reports. The funding round came together after the data centre developer secured a 13B USD contract with Jane Street. The deal signals continued massive investment in AI computing infrastructure. https://techcrunch.com/2026/09/03/crusoe-reportedly-raises-3b-at-a-30b-valuation/ #AIagent #AI #GenAI #AIInfrastructure
-
AI infrastructure startup Crusoe has raised 3B USD at a 30B USD valuation, according to reports. The funding round came together after the data centre developer secured a 13B USD contract with Jane Street. The deal signals continued massive investment in AI computing infrastructure. https://techcrunch.com/2026/09/03/crusoe-reportedly-raises-3b-at-a-30b-valuation/ #AIagent #AI #GenAI #AIInfrastructure
-
NVIDIA has agreed to acquire Hugging Face for nearly $13 billion.
This raises an interesting structural question for AI: can models & tools become increasingly open while the infrastructure around them becomes more concentrated?
We look at Hugging Face’s role in the open AI ecosystem, NVIDIA expanding position across the AI stack and why hardware neutrality and interoperability will be worth watching.
#NVIDIA #HuggingFace #AI #OpenSource #AIInfrastructure #OpenModels
-
NVIDIA has agreed to acquire Hugging Face for nearly $13 billion.
This raises an interesting structural question for AI: can models & tools become increasingly open while the infrastructure around them becomes more concentrated?
We look at Hugging Face’s role in the open AI ecosystem, NVIDIA expanding position across the AI stack and why hardware neutrality and interoperability will be worth watching.
#NVIDIA #HuggingFace #AI #OpenSource #AIInfrastructure #OpenModels
-
NVIDIA has agreed to acquire Hugging Face for nearly $13 billion.
This raises an interesting structural question for AI: can models & tools become increasingly open while the infrastructure around them becomes more concentrated?
We look at Hugging Face’s role in the open AI ecosystem, NVIDIA expanding position across the AI stack and why hardware neutrality and interoperability will be worth watching.
#NVIDIA #HuggingFace #AI #OpenSource #AIInfrastructure #OpenModels
-
NVIDIA has agreed to acquire Hugging Face for nearly $13 billion.
This raises an interesting structural question for AI: can models & tools become increasingly open while the infrastructure around them becomes more concentrated?
We look at Hugging Face’s role in the open AI ecosystem, NVIDIA expanding position across the AI stack and why hardware neutrality and interoperability will be worth watching.
#NVIDIA #HuggingFace #AI #OpenSource #AIInfrastructure #OpenModels
-
India’s AI infrastructure race is scaling fast. 🇮🇳
Yotta plans to order 50,000 NVIDIA Vera Rubin GPUs (~$7.5B), plus 45,000 GB300 GPUs.
The race isn’t just for AI models, it’s for the compute to run them at scale. 🚀
-
India’s AI infrastructure race is scaling fast. 🇮🇳
Yotta plans to order 50,000 NVIDIA Vera Rubin GPUs (~$7.5B), plus 45,000 GB300 GPUs.
The race isn’t just for AI models, it’s for the compute to run them at scale. 🚀
-
India’s AI infrastructure race is scaling fast. 🇮🇳
Yotta plans to order 50,000 NVIDIA Vera Rubin GPUs (~$7.5B), plus 45,000 GB300 GPUs.
The race isn’t just for AI models, it’s for the compute to run them at scale. 🚀
-
Perplexity has open sourced Lily, a Rust and Metal inference engine for running Qwen3.6-35B-A3B on Apple Silicon. The specialised engine achieves 1.23x faster prefill and 1.35x faster decode than MLX-LM, demonstrating how narrow hardware optimisation can beat general-purpose frameworks. https://www.marktechpost.com/2026/09/02/perplexity-open-sources-lily-a-rust-metal-inference-engine-for-qwen3-6-35b-a3b-on-apple-silicon/ #AIagent #AI #GenAI #AIInfrastructure
-
Perplexity has open sourced Lily, a Rust and Metal inference engine for running Qwen3.6-35B-A3B on Apple Silicon. The specialised engine achieves 1.23x faster prefill and 1.35x faster decode than MLX-LM, demonstrating how narrow hardware optimisation can beat general-purpose frameworks. https://www.marktechpost.com/2026/09/02/perplexity-open-sources-lily-a-rust-metal-inference-engine-for-qwen3-6-35b-a3b-on-apple-silicon/ #AIagent #AI #GenAI #AIInfrastructure
-
Perplexity has open sourced Lily, a Rust and Metal inference engine for running Qwen3.6-35B-A3B on Apple Silicon. The specialised engine achieves 1.23x faster prefill and 1.35x faster decode than MLX-LM, demonstrating how narrow hardware optimisation can beat general-purpose frameworks. https://www.marktechpost.com/2026/09/02/perplexity-open-sources-lily-a-rust-metal-inference-engine-for-qwen3-6-35b-a3b-on-apple-silicon/ #AIagent #AI #GenAI #AIInfrastructure
-
Nvidia is projecting sales growth of up to 70%, and the reason goes far beyond chatbots and coding assistants. What we're witnessing is the physical build-out of AI itself — data centers, power grids, GPUs, and networking infrastructure being deployed at a scale the tech industry has never seen.
#nvidia #technews #artificialintelligence #aiinfrastructure #futureoftech #startupnews #techtrends #innovations #datacenters #techindustry
-
Nvidia is projecting sales growth of up to 70%, and the reason goes far beyond chatbots and coding assistants. What we're witnessing is the physical build-out of AI itself — data centers, power grids, GPUs, and networking infrastructure being deployed at a scale the tech industry has never seen.
#nvidia #technews #artificialintelligence #aiinfrastructure #futureoftech #startupnews #techtrends #innovations #datacenters #techindustry
-
SK Group and NVIDIA expand partnership across AI factories and next-generation memory
SK Group and NVIDIA has announced plans for a $500-billion-plus comprehensive partnership to establish AI infrastructure serving the…
#EuropeSays #Korea #KR #SK #AIfactory #AIinfrastructure #AImemory #Computing #NVIDIA #SKGroup #SouthKorea
https://www.europesays.com/korea/140869/ -
**RAM prices are undergoing one of the most significant increases the memory market has seen in recent years.**
The latest BuySellRam market update highlights just how dramatic the move has been: **DDR5 prices have increased by as much as 473% in 2026**. This is not simply a normal cycle of memory pricing. The market is being reshaped by the rapid expansion of AI infrastructure, data-center demand, and the growing amount of memory required by modern computing systems.
AI servers are consuming enormous amounts of DRAM and high-bandwidth memory, putting additional pressure on an already constrained supply chain. At the same time, memory manufacturers have to balance capacity between conventional DRAM, server memory, HBM, and other high-value products. As AI-related demand continues to compete for manufacturing capacity, traditional PC and server memory can also feel the effects.
For PC builders, the result is higher system costs. For enterprises and data-center operators, expensive DRAM can significantly increase the cost of server upgrades and infrastructure expansion. A memory shortage can also change procurement strategies, encouraging businesses to extend the useful life of existing servers and pay closer attention to their current hardware inventory.
There is another important consequence: **the secondary RAM market becomes more valuable when new memory becomes expensive.** DDR4 and DDR5 modules that might previously have been considered low-value surplus can become meaningful assets when replacement costs rise sharply. Organizations refreshing servers or consolidating infrastructure should therefore consider the resale value of their existing memory rather than automatically treating it as obsolete equipment.
The 473% increase also raises a broader question about how sustainable current memory pricing is. If AI infrastructure continues to absorb a growing share of global memory production, the traditional boom-and-bust DRAM cycle could look very different in the years ahead.
This market is worth watching closely—not only for buyers of new hardware, but also for companies holding large inventories of **server RAM, DDR4, and DDR5**.
https://www.buysellram.com/blog/ram-market-update/
#RAM #DDR5 #DDR4 #DRAM #Memory #MemoryMarket #AIInfrastructure #DataCenters #ServerMemory #Semiconductors #PCHardware #ITHardware #DataCenter #AI #HardwareMarket
-
**RAM prices are undergoing one of the most significant increases the memory market has seen in recent years.**
The latest BuySellRam market update highlights just how dramatic the move has been: **DDR5 prices have increased by as much as 473% in 2026**. This is not simply a normal cycle of memory pricing. The market is being reshaped by the rapid expansion of AI infrastructure, data-center demand, and the growing amount of memory required by modern computing systems.
AI servers are consuming enormous amounts of DRAM and high-bandwidth memory, putting additional pressure on an already constrained supply chain. At the same time, memory manufacturers have to balance capacity between conventional DRAM, server memory, HBM, and other high-value products. As AI-related demand continues to compete for manufacturing capacity, traditional PC and server memory can also feel the effects.
For PC builders, the result is higher system costs. For enterprises and data-center operators, expensive DRAM can significantly increase the cost of server upgrades and infrastructure expansion. A memory shortage can also change procurement strategies, encouraging businesses to extend the useful life of existing servers and pay closer attention to their current hardware inventory.
There is another important consequence: **the secondary RAM market becomes more valuable when new memory becomes expensive.** DDR4 and DDR5 modules that might previously have been considered low-value surplus can become meaningful assets when replacement costs rise sharply. Organizations refreshing servers or consolidating infrastructure should therefore consider the resale value of their existing memory rather than automatically treating it as obsolete equipment.
The 473% increase also raises a broader question about how sustainable current memory pricing is. If AI infrastructure continues to absorb a growing share of global memory production, the traditional boom-and-bust DRAM cycle could look very different in the years ahead.
This market is worth watching closely—not only for buyers of new hardware, but also for companies holding large inventories of **server RAM, DDR4, and DDR5**.
https://www.buysellram.com/blog/ram-market-update/
#RAM #DDR5 #DDR4 #DRAM #Memory #MemoryMarket #AIInfrastructure #DataCenters #ServerMemory #Semiconductors #PCHardware #ITHardware #DataCenter #AI #HardwareMarket
-
#VMware Cloud Foundation, #VCF #AI Services, VMware Private AI Cloud, VMware AI Factory, #Tanzu, #vDefend…what's the difference? Where's #Nvidia in all this? What's #Broadcom 's stance on #opensource and open-weight models, especially with Nvidia reportedly buying #Hugging_face?
I caught up with Paul Turner, VCF Division chief product officer at Broadcom, to sort out these questions as #VMwareExplore kicked off this week in Las Vegas.
In today’s episode, we cover…
💡 Broadcom's stance on #sovereignAI and #privateAI
💡 The hardware supply crisis in #AIinfrastructure
💡 Broadcom's outlook on autonomous IT operations
And more!
Tune in here: https://youtu.be/7EzRXISOtwc?si=UIVgG8HZnBmoPXgm
-
#VMware Cloud Foundation, #VCF #AI Services, VMware Private AI Cloud, VMware AI Factory, #Tanzu, #vDefend…what's the difference? Where's #Nvidia in all this? What's #Broadcom 's stance on #opensource and open-weight models, especially with Nvidia reportedly buying #Hugging_face?
I caught up with Paul Turner, VCF Division chief product officer at Broadcom, to sort out these questions as #VMwareExplore kicked off this week in Las Vegas.
In today’s episode, we cover…
💡 Broadcom's stance on #sovereignAI and #privateAI
💡 The hardware supply crisis in #AIinfrastructure
💡 Broadcom's outlook on autonomous IT operations
And more!
Tune in here: https://youtu.be/7EzRXISOtwc?si=UIVgG8HZnBmoPXgm
-
MLPerf Storage v3.0 adds tests for KV-cache I/O, vector databases, and S3 storage: https://mlcommons.org/2026/09/mlperf-storage-v3-0-results/
The larger point: AI infrastructure is becoming a data-movement problem as much as a compute problem. Context, embeddings, and checkpoints can bottleneck a system even when GPUs are fast. #AIInfrastructure #MLPerf
-
MLPerf Storage v3.0 adds tests for KV-cache I/O, vector databases, and S3 storage: https://mlcommons.org/2026/09/mlperf-storage-v3-0-results/
The larger point: AI infrastructure is becoming a data-movement problem as much as a compute problem. Context, embeddings, and checkpoints can bottleneck a system even when GPUs are fast. #AIInfrastructure #MLPerf
