Building modern GPU infrastructure isn't just a technical hurdle. It's a complex mix of procurement strategy, system design, and long-term planning. Whether leading an AI team at a fast-growing startup or managing infrastructure at an enterprise scale, you've likely encountered some of these common pain points.
At Arc Compute, we speak daily with AI labs, cloud providers, and HPC researchers. Across all industries, the same core challenges surface time and time again. Here's what we hear and how we help teams move forward.
1. "Lead times are insane. Why does it take 12+ weeks to get servers?"
What we hear:
"We're scaling fast and can't afford to wait three months for hardware."
What's going on:
Most GPU systems are built to order, not kept in stock. Demand for high-performance SKUs like the H100, H200, and B200 continues to grow, which puts pressure on supply chains.
How we help:
We work closely with OEM partners like Aivres, Supermicro, and Dell to align production schedules and prioritize fast-turnaround configurations. As a result, we can often ship custom systems in as little as two to three weeks, even when others are quoting multi-month timelines.
2. "Cloud GPUs are getting too expensive. On-prem still feels risky."
What we hear:
"We're spending $40K a month on cloud GPUs. Is it actually worth it?"
What's going on:
Cloud offers short-term flexibility, especially for early-stage experimentation. However, hyperscalers tend to package rigid infrastructure with high markups and unpredictable pricing. For teams running sustained workloads, cloud bills quickly become difficult to justify.
How we help:
We provide immediate access to H100 cloud instances at unbeatable prices, giving you short-term flexibility without vendor lock-in. At the same time, we help model long-term savings of moving to on-prem. Most customers see a 30 to 60 percent cost reduction over two to three years. If needed, we can also bridge the gap with cloud access while we plan and deploy your on-prem systems.
3. "There are just so many decisions. We don't want to get it wrong."
What we hear:
"We know what we want to achieve, but the number of options is overwhelming."
What’s going on:
Even experienced teams run into decision fatigue. Choosing the right GPU is just the beginning. Every component—CPU, memory, interconnect, storage, cooling, and deployment location—affects compatibility, performance, and cost. One misstep can create bottlenecks or limit scalability down the road.
How we help:
We take a step-by-step approach to system architecture. From hardware selection to facility planning, we guide your team through each decision with clear technical guidance and real-world tradeoff analysis. For teams looking to move quickly or at scale, we also offer turnkey GPU infrastructure solutions that streamline procurement, configuration, and deployment—so you can move forward with confidence and focus on what matters most.
4. "Should we wait for B300 or go with H200 or B200 now?"
What we hear:
"We're considering B200, but we don't want to buy something that'll be outdated next quarter."
What's going on:
With NVIDIA's B300 expected soon, it's tempting to hold off. However, new hardware launches often come with limited availability, firmware bugs, and untested integrations. Waiting can also leave you stuck with underpowered infrastructure while costs continue to rise elsewhere.
How we help:
We take a balanced approach to these decisions. Hopper-based H200 systems are reliable and well-supported. B200 is newer, built on the Blackwell architecture, and already being deployed—but it's still early in its lifecycle. We help evaluate whether it makes more sense to deploy stable systems now or phase in B300 when the timing, supply chain, and software ecosystem are ready.
5. We Need Real Support, Not a Sales Funnel
What we hear:
“We’ve submitted forms to five vendors and only got one generic quote back, a week later.”
What’s going on:
The traditional hardware sales process is slow, impersonal, and often frustrating. You're pushed through automated workflows, bounced between reps, and left chasing updates—all before you even speak to someone technical. When time and clarity matter most, you're stuck waiting.
How we help:
We believe good infrastructure starts with good communication. When you reach out to Arc Compute, you’re connected directly with someone who understands what you’re building—whether that’s a solutions architect, a product engineer, or a senior member of our sales team. No scripts, no endless follow-ups, and no unnecessary steps. Just responsive, informed support that moves at your pace.
Let's Solve This Together
If any of these challenges sound familiar, you're not alone. And you don't have to solve them by yourself.
At Arc Compute, we help startups, enterprises, and research labs move past procurement delays, cloud cost spirals, and design bottlenecks. Our systems are custom built, fast to deploy, and designed to scale with your needs.
Most importantly, we aim to build a true partnership that makes GPU infrastructure decisions easier, more transparent, and future ready.
