TensorDock reposted this
Machine Learning GPU Benchmarks! Anything surprise you? Interestingly, the lower-end RTX tier cards have a better price-to-performance ratio compared to the machine learning optimized GPUs. https://lnkd.in/eUUpfBmE
Train your models by leveraging TensorDock's affordable cloud GPUs. H100s from $2.25/hr, A100s from $1.42/hr, RTX A6000s from $0.47/hour. Lowest prices in the industry. Deploy instantly with just $5.
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TensorDock reposted this
Machine Learning GPU Benchmarks! Anything surprise you? Interestingly, the lower-end RTX tier cards have a better price-to-performance ratio compared to the machine learning optimized GPUs. https://lnkd.in/eUUpfBmE
Machine Learning GPU Benchmarks! Anything surprise you? Interestingly, the lower-end RTX tier cards have a better price-to-performance ratio compared to the machine learning optimized GPUs. https://lnkd.in/eUUpfBmE
🚨 On-demand H100 SXM5's from $1.99/hr! 🚨 Hundreds of H100s are online and ready to go at market-leading rates on our platform, priced in a staggered fashion from $1.91/hr to $3.70/hr. We expect customers to fill up servers from low to high, and we expect higher-priced nodes to always remain in stock. That is to say, when you build atop us, you'll get the best rate in the market — without needing to worry about quotas or availability when you need to scale. Our H100s are available in full 8x node configurations with full 7.2TB/s NVSwitch topologies passed to virtual machines. In addition, preallocated RAM, RAM-based VM filesystem caching, and further optimizations make for near, or even better than bare metal performance. Deploy an H100 node today! https://lnkd.in/eTEQ2g9s
We're thrilled to finally move CPU-only instances into general availability! Deploy CPU-optimized terabyte-scale virtual machines for your business's most demanding transcoding, batch processing, and in-memory database workloads — all at prices 80% less than the large clouds. Fully dedicated AMD EPYC & Xeon Scalable processors colocated at a dozen tier 2-4 data centers with multihomed 10G networks and fast local NVMe SSDs. https://lnkd.in/di5w6PHc