NVIDIA H100
The proven workhorse of modern AI, H100 GPUs power today’s largest inference fleets worldwide. With 80 GB of HBM3 memory, 3.35 TB/s bandwidth, and nearly 2 PFLOPS of tensor compute, H100s offer a rock-solid balance of speed, cost, and availability. Backed by a mature software ecosystem and global supply, they’re the reliable backbone for enterprise LLM deployment.
NVIDIA GH200
The Grace Hopper Superchip fuses CPU and GPU into one unified architecture with 624 GB of fast shared memory and 900 GB/s interconnect bandwidth. That means lower latency, less data shuffling, and higher throughput on real-world pipelines. In MLPerf, GH200 delivered +17% inference gains over H100, and it shines in RAG, embeddings, multimodal, and memory-intensive AI.
NVIDIA B200
Next-gen Blackwell GPUs redefine what’s possible for large-scale inference. With 192 GB HBM3e, 8 TB/s bandwidth, and 4× the throughput of H100 on Llama 2 70B, B200s deliver unmatched performance for enterprise AI workloads. Benchmarks show >1,000 tokens/sec per user and 72,000 TPS/server — making it the most powerful GPU option for LLMs today.
%20.png?width=1000&height=558&name=Output%20Speed%20vs%20Price%20(29%20Sep%2025)%20.png "Output Speed vs Price (29 Sep 25)")
Smart Autoscaling
Scale up for peak demand and down to zero when idle — with traffic-based load balancing.
GPU Fractioning
Run multiple models or workloads on a single GPU for 2-4x higher utilization.
Cross-Cloud + On-Prem Flexibility
Deploy anywhere: AWS, Azure, GPC, or your own datacenter—all managed from one control plane.
Unified Control & Governance
Monitor usage, optimize costs, and enforce enterprise-grade security policies from a single dashboard.
Seamless Model Deployment
Spin up GPT-OSS-120B, third-party models, or your own custom models in minutes with Clarifai's SDKs and UIs.
Ready to run at scale?
Join the enterprises already deploying GPT-OSS-12-B and custom models faster and cheaper with Clarifai.
