Swift Compute
@swiftcompute
Swift Compute delivers high-performance GPU infrastructure optimized for AI workloads at a fraction of the cost of major cloud providers.
We were founders who couldn't wait. So we built Swift Compute, built for; ⚡️Speed 🫂 Support 💸Fair cost. Enablement is our purpose. We help founders control their speed, cost, and workflow. Every founder knows the pain of waiting. And now we are here to solve it.
💸GPU Market-> $82B -> $352B by 2030 (Mordor) Access? Still limited. 🚪Growth ≠ Access. The market grows; the barriers remain. The GPU boom means nothing if you can't afford it. We, Swift Compute, make power accessible. ⚡Free your build: swiftcompute.ai
Infra is scaling, but access isn't. AI infra spend hits $6.7T by 2030(McKinsey). The blocker is not computation. It's the reach. Swift Compute delivers instant GPUs with transparent billing. Innovation should not cost a bill. Scale without fear. 👉swiftcompute.ai
swiftcompute.ai
Swift Compute - High-Performance GPU Cloud for AI
Affordable, high-performance GPU cloud solutions for AI workloads. Get 10x faster training at 50% lower cost.
💰 $6.7T in AI infra by 2030 (McKinsey). We make your GPUs usable instantly. 🔓 Access > Abundance. Instant GPUs, transparent pricing. 💡 Innovation shouldn’t break budgets. We enable affordable AI speed. What’s slowing your build down right now? Tell us in the comments!
⚡️Speed doesn’t just happen. Our engineers make every millisecond count. What feels instant takes late nights, quiet focus, and people who care about getting it right. We fix the friction so you can build faster. Talk to us🤝: swiftcompute.ai
💰 $6.7T in AI infra by 2030 (McKinsey). We make your GPUs usable instantly. 🔓 Access > Abundance. Instant GPUs, transparent pricing. 💡 Innovation shouldn’t break budgets. We enable affordable AI speed. What’s slowing your build down right now? Tell us in the comments!
🚀 We're just getting started again on X! Expect fast insights, founder stories, and GPU truths-straight from the team building compute that's instant, affordable, and human. Your GPUs, ready before your coffee. ☕⚡ Follow @SwiftCompute for more speed and stories.⚡
3 releases in one day 🤯 just before Alibaba Cloud’s annual conference! @Alibaba_Qwen is on fire 🔥 huggingface.co/Qwen ✨ Qwen3 Omni: End-to-end omni model ✨ Qwen3 TTS: Supports CN/EN/IT/FR + 10 langs ✨ Qwen-Image-Edit-2509: Big upgrade from the previous version Excited…
We’re dropping Qwen3-Next-80B-A3B-Instruct-FP8 and Qwen3-Next-80B-A3B-Thinking-FP8 and fully compatible with Transformers, vLLM and SGLang. Now with FP8 precision for blazing-fast inference 🚀 Hugging Face: huggingface.co/collections/Qw… ModelScope: modelscope.cn/collections/Qw…
The main branch of sglang now supports deterministic inference with user-specified per-request seeds! It utilized kernels from @thinkymachines and introduced new optimizations & coverage. Run out of box for most hardware backends and pytorch versions.
SGLang now supports deterministic LLM inference! Building on @thinkymachines batch-invariant kernels, we integrated deterministic attention & sampling ops into a high-throughput engine - fully compatible with chunked prefill, CUDA graphs, radix cache, and non-greedy sampling. ✅…
A new Yale paper reveals the brutal reality of the AGI economy: Half the population could stop working tomorrow and GDP wouldn't budge. Humans become economically meaningless. The paper suggests we'll keep our jobs but lose something far more important:
The mask is off. @lightspeedvp (backers of @AnthropicAI, @Snapchat, @EpicGames) exposes the game in their Sept 2025 South Asian Consumer report. No more "democratizing access" bs, just straight exploitation math. >>
Most infra startups post benchmarks.. We’re building on our story, identity, and reach. Because even GPUs need good marketing. Infra that moves real people will always outperform specs that don’t 😎
hallucinations aren’t just bugs they’re baked into the math of how models predict next words on mass data rewarding humility in evals leads to fewer confident bs answers openai.com/index/why-lang…
Building for global teams means speaking their language 🌎 Thanks to the team and community helping push this forward
👋 Say Hi to MiMo-Audio! Our BREAKTHROUGH in general-purpose audio intelligence. 🎯 Scaling pretraining to 100M+ hours leads to EMERGENCE of few-shot generalization across diverse audio tasks! 🔥 Post-trained MiMo-Audio-7B-Instruct: • crushes benchmarks: SOTA on MMSU, MMAU,…
Just wrapped a week across China meeting suppliers, pitching @swiftcompute, and pushing our reach Global logistics and GPU infrastructure is a combo most people are underestimating I’m betting everything on the edge
🚀 Our team at @swiftcompute was on the ground at @awscloud Summit in Sydney today, soaking up the future of AI infrastructure. From Nova Sonic healthcare agents to next-gen cloud orchestration, it’s clear the pace of innovation isn’t slowing down and neither are we.
Something magic about these charts with compute on the x-axis, and clear steady improvements (across many metrics) on the y-axis. Really makes you feel like the field is uncovering some underlying fundamental laws of intelligence.
Scaling is incredibly hard and demanding and leaves very little room for error in every little part of the training stack But once it works, it's beautiful to see it
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