Arc Compute delivers end-to-end GPU infrastructure for AI and HPC, combining expert design, procurement, and deployment to accelerate outcomes and cut costs.
Joined August 2021
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56 Photos and videos
Jun 3
Highlights from Datacloud Global Congress in Cannes this week. Wraps tomorrow. Say hello if you're around.
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May 27
93% of enterprises are repatriating AI workloads off public cloud in 2026. The economics flipped: 40 to 50% lower TCO on dedicated GPUs, and 91% prefer private for sensitive AI data. Why public cloud breaks at production scale: hubs.la/Q04j2lL_0 #PrivateAI #ArcCompute
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May 26
Healthcare AI data sovereignty has shifted from a privacy issue to an infrastructure one. Breaches now average $7.42M, the highest of any industry for 14 years. That's why 58% of medical imaging AI already runs on-prem. Here is the full breakdown: hubs.la/Q04hSY7b0
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May 22
Our CEO Jeffery Potvin will be at Datacloud Global Congress in Cannes, June 2-4, with 6,000 infrastructure leaders. 5 of 10 themes this year cover power and cooling: AI power surge, nuclear, on-site gen, water, sustainability. See you there👋
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May 19
Fewer than 1% of C-suite leaders see significant AI ROI, yet 2/3 of AI compute in 2026 will be inference. Most GPUs still run below 70% utilization. The cost problem is operating models, not training them. Read more: hubs.la/Q04h5-Xg0 #ArcCompute
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May 15
Liquid cooling market: $4.7B in 2025, projected $21B by 2032 (30% CAGR). NVIDIA Rubin is architected for liquid only. Microsoft, Google, AWS, Meta, CoreWeave already building at scale. Air-cooled AI infrastructure is on a clock. Read the full blog: hubs.la/Q04gNKH00
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May 13
Medical imaging AI hit $2B in 2025 and is on track for $23B by 2035. But the real bottleneck isn't models, it's GPU infrastructure. Radiology struggles with latency. Pathology struggles with memory. Here's how to design for both: hubs.la/Q04gppKR0 #ArcCompute
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May 11
AI server costs are repricing across the stack in 2026. HBM sold out through 2026, DRAM up 50-55% in Q1, racks at 80-132kW, quote windows down to 7-14 days, 50-100% upfront payment. We broke down the four structural drivers here👉 hubs.la/Q04g4ZTn0
#AIInfrastructure
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Apr 23
The AI investment thesis is changing. Instead of betting on individual startups, capital is moving to the compute layer powering all of them. Meta alone is planning $115B to $135B in 2026 capex. Here's why infrastructure is becoming the smarter play: hubs.la/Q04dd_s40
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Apr 10
Talked to bank architects, founders, and startup teams today at AI in Action. Same story everywhere: building AI is easy now. Running it in production? Latency. Cost. Data control. Regulation. That's where it gets interesting. #ArcCompute #AIinAction
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Mar 26
Great to be in New York for Xcelerated Compute 2026. The pace across GPU infrastructure and AI is accelerating fast, from hardware to distributed systems. Key takeaway: data sovereignty is becoming a defining constraint for where and how AI gets deployed.
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Mar 23
Jensen Huang's GTC 2026 keynote just changed the AI infrastructure conversation. We broke down the full keynote, what it means for AI infrastructure, what's changed, and what operators should be thinking about right now. hubs.la/Q047YtvZ0 #GTC2026 #JensenHuang
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Mar 20
Arc Compute will be at the Xcelerated Compute Show in NYC (Mar 23–24). Our CEO will be there discussing AI compute and infrastructure, and speaking Mar 23 at 4:20PM (Stage C) on Canada’s sovereign AI future. If you're attending, Jeffery would love to meet you!
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Mar 17
Arc Compute at NVIDIA GTC 🚀
Jensen Huang’s keynote set the tone: $1T AI buildout, inference as the bottleneck, AI factories becoming real, and momentum beyond Blackwell.
Connecting with the ecosystem shaping the future of AI infrastructure. If you're here, let’s connect.
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Mar 12
Arc Compute is heading to #NvidiaGTC 2026.
Our team will be meeting founders, ML leaders, and infrastructure teams building large-scale AI. If you're thinking beyond cloud experiments and planning real AI infrastructure at scale, let’s connect.
#ArcCompute #AIInfrastructure
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Mar 10
Introducing the new Arc Compute logo🎉
A symbol of scale, performance, and the GPU infrastructure powering modern AI. The next phase of Arc starts now.
#AIInfrastructure #GPUInfrastructure #EnterpriseAI #ArcCompute
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Feb 24
Check out our latest blog on why data sovereignty must be engineered into AI workloads from day one and how financial institutions can scale without compromising compliance. hubs.la/Q044tcTC0
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Feb 19
Only one week left. Join Joshua Gelata of Arc Compute and Val Bercovici of WEKA for a live discussion on how financial institutions are building AI infrastructure for real production. No demo. Just strategy, economics, and execution. Feb 26: hubs.la/Q043RKlX0
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Feb 18
On Feb 26, Val Bercovici, Chief AI Officer at WEKA and founding member of the Kubernetes CNCF Governing Board, joins us to unpack what actually makes AI infrastructure predictable at scale. If you’re building for real workloads, register to join us live: hubs.la/Q043CRMK0
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Feb 17
Finance teams are scaling AI but hyperscaler stacks bring unpredictable costs, data residency risk, and lock-in. Join our webinar to explore AI infrastructure architectures that deliver cloud-like experience, sovereign control, and predictable ROI 👉hubs.la/Q043q1lK0
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