Siscom @siscom_tech

Digital infrastructure company Joined April 2024

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Siscom @siscom_tech

2 weeks ago

Exactly and that's the real signal. Nvidia isn't just selling silicon anymore, it's underwriting risk on emerging cloud providers in exchange for a cut of future revenue. That's a financier's playbook, not a chipmaker's. The 210K GPU commitment to Sharon AI (Australia) and Firmus Technologies (Indonesia) matters because neither is a US hyperscaler Nvidia is proving this model works for emerging-market operators, not just the usual names. That's the exact model gap Siscom Capital is closing for Africa.

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Siscom @siscom_tech

2 weeks ago

A cloud operator in Asia is seeking $635M backed by GPUs + the contracts generating revenue from them. Nvidia is now financing GPU cloud providers directly, revenue-share style, deploying 210,000 GPUs to Australia and Indonesia. Even inference chips are being used as loan collateral for the first time. Banks are underwriting compute like any other infrastructure asset now real estate, aircraft, GPUs.

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Siscom @siscom_tech

2 weeks ago

That's what Siscom Capital does. We finance GPUs for African businesses structured around your contracts and revenue, so you deploy compute now instead of waiting on an equity round. The rest of the world isn't waiting on this trend. Don't let compute be the reason your AI build stalls. DM us. Let's finance your GPUs.

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Siscom @siscom_tech

2 weeks ago

$10B+ raised across AI infrastructure deals in the past 12 months. This is institutional money. But here's the gap: Africa has the AI demand labs, startups, enterprises all need GPUs and almost none of the financing infrastructure exists here yet. Every month that gap stays open is a month of AI infrastructure getting built somewhere else, with somebody else's capital.

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Siscom @siscom_tech

2 weeks ago

So how do you actually support models this size? Part 3 shifts gears to the exact thing that matters most to us at Siscom: the physical infrastructure that makes AI possible.

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Siscom @siscom_tech

2 weeks ago

Having the model is half the story. Running it at scale needs serious compute power + robust Cloud IaaS behind it. Software gets the headlines. Infrastructure does the work.

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Siscom @siscom_tech

2 weeks ago

Every time a new LLM drops GPT, Grok, Llama we end up reverse-engineering the scale behind it. Take Llama 7B. That "B" = 7 billion parameters. Thread on what it actually takes to run that

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Siscom @siscom_tech

3 weeks ago

@dzaddzzyy Thanks for flagging that it's sorted now, DMs are open. Feel free to message me directly

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Siscom @siscom_tech

3 weeks ago

Meta is now building its own AI chips. OpenAI just had its flagship model reviewed by the US government before launch. Everyone's racing to OWN the compute stack. Africa is still renting it. A thread on why that gap is now a capital problem

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Siscom @siscom_tech

3 weeks ago

The AI race isn't just about smarter models anymore. It's about who owns the infrastructure the models run on. Africa can't out-spend Meta. It can out-structure the deal. That's what @siscom_tech Capital is built for. DM us.

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Siscom @siscom_tech

3 weeks ago

GPU financing flips that. Instead of leasing compute month to month, businesses acquire it with a payoff date, not a renewal date. Pair that with Tier 3 colocation on the continent, and you've moved from renting the rails to owning a piece of them.

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Siscom @siscom_tech

3 weeks ago

This week: Fable 5, Grok 4.5, GPT-5. Meanwhile Africa still has zero homegrown LLMs. Why? Llama 3 70B took 180k A100 GPU-hours ($35k/chip) to train. Africa's H200 footprint: ~5,000, mostly SA & North Africa. Kenya: <50 chips. You don't buy planes before building the airport. #ComputeSovereignty #digitalinfrastructure

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Siscom @siscom_tech

3 weeks ago

That's the mission. Siscom is building the financing model that puts GPU ownership in African hands. Infrastructure here. Owned here. Financed here. #Siscom #AfricaFirst #AIInfrastructure #DataSovereignty #GPUFinancing

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Siscom @siscom_tech

3 weeks ago

A 250x+ gap isn't closed by adopting more tools built elsewhere. It's closed by financing GPUs African businesses actually own not renting compute, owning it.

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Siscom @siscom_tech

3 weeks ago

Africa's collective AI push runs on roughly 10,000 GPUs. The United States alone commands an estimated 2.5 million+. That's a 250x+ gap. And it's not a talent problem