Targon
130 posts
@TargonCompute
The Secure Compute Cloud powering AI's best builders. High-performance GPUs and CPUs available now. Powered by @manifoldlabs
Confirmed ☑️ Compute for Bitstarter's ML teams, powered by #SN4 We’re partnering with @TargonCompute to give confidential compute to teams in our Machine Learning track, with hands-on support from day one. Big thanks to @manifoldlabs for backing the future of ML on Bittensor
Venice Uncensored 1.2 is now live. Developed with @dphnAI, this model delivers the most uncensored version of Mistral 24B. Upgraded with vision support, a 4x larger context window, and stronger tool-use capabilities. Trained on Bittensor Subnet 4 @TargonCompute.
Venice Uncensored 1.2 is now live. Developed with @dphnAI, this model delivers the most uncensored version of Mistral 24B. Upgraded with vision support, a 4x larger context window, and stronger tool-use capabilities. Trained on Bittensor Subnet 4 @TargonCompute.
What if most AI benchmarks are measuring the wrong thing? Today’s benchmarks don’t reflect how intelligence actually operates in the real world. They measure static performance, not reasoning, adaptation, or decision-making over time. BrainPlay changes that. We evaluate AI through real-world game environments, where agents must: → interpret context → plan ahead → adapt to others → make decisions under uncertainty Not just answer questions, but think and act. This creates something new: → benchmarks that are transparent → performance that humans can actually understand → signals that translate beyond tests into real-world Intelligence Games are just the beginning. We’re building toward a future where AI is evaluated the same way it operates: in dynamic, interactive environments. We’re building the evaluation layer for real-world AI. Built by @ShiftLayer_ai and powered by @TargonCompute. Learn more at → play.shiftlayer.ai
Last week, we released a whitepaper detailing how TVM allows us to run secure workloads on untrusted host machines While this unlocks meaningful revenue opportunities with the enterprise, TVM is only compatible with datacenter hardware (i.e., H100, H200, B200) Today we are announcing targonOS: a hardened OS built upon our TVM work. This will allow for secure ingress/egress of consumer grade GPUs onto the Targon network, while simultaneously expanding the security for our existing TDX VMs By expanding our product offering, we can provide a more robust service to a larger cohort of users, while further lowering the cost of capital for compute owners
🚨Subnet Partnership👇 @TargonCompute (SN4) is now live on Handshake Marketplace 🤝 Picture this… You ask your agent to fine-tune a model. Halfway through, it needs a GPU. Today? It stops. Asks you. And you have to go deal with cloud providers. But with Targon on Handshake… The agent rents the GPU itself. Pays in USDC. Finishes the job. You don’t touch anything. That is what real autonomy looks like. @handshake_58 is building the infrastructure for the agentic economy on Bittensor. And we’re not going to stop 🤝
